Tag: agentforce

  • Performa IT: Leading the Agentforce charge!

    Performa IT: Leading the Agentforce charge!

    By now you may have heard of Agentforce, maybe you even had the chance to chat with us at our stand at the Agentforce World Tour event in London in October. For those of you who are still unsure, here’s a quick recap on the groundbreaking product from Salesforce:

    AgentForce is a suite of AI-powered agents that can do lengthy research and prospecting tasks for your sales team, interact with your customers to resolve their issues immediately and autonomously as well as build your new marketing campaigns based on performance data. So, Agentforce can handle business tasks in a way that far surpasses any chatbots or AI assistants currently on the market. Agents can reason, act, and automate workflows across a business’s operations with sales, customer services and marketing only being a few of the prime examples.

    At Performa IT, we’re excited to say that we were one of Salesforce’s chosen partners to start implementing this solution as a for our customers. This pilot solution was the first customer service agent to go live in EMEA, so we’ve been witnessing the transformational powers of this tool firsthand. We’ve been amazed by how well this works and we’d like to share some insights from our time with the product so far.

    We’ve found that the most impressive thing about these Agents is just how well they work: Agents can take action autonomously and without prompting. They can trigger actions such as sending follow-up emails, creating a task for you in your CRM, scheduling a meeting and more… all without any input from you. For example, for a customer services representative, Agents can engage with a customer, note down their issues and either resolve the issue there and then, or, escalate the issue by searching your calendar, creating a meeting between you and the customer and adding the notes to get you immediately up to speed with the issue at hand. Impressive. Very impressive.

    This must all be pretty difficult and complex to code, right?

    Wrong. Salesforce has created a selection of out-of-the-box Agents that are designed to be deployed across numerous industries. From a sales coach customer experience agent, these are easy to implement and can be up and running from day one. With the Agent Builder, we can help your business create custom Agents with low-code tools such as Flows, Apex and MuleSoft APIs. Configuring Agents to perform business-specific tasks is necessary to get the most out of your AgentForce package and we’d suggest consulting with one of our experts in order to start on the right foot.

    Coupling AgentForce with MuleSoft and Data Cloud has been the best way forward for our customers: enabling agents to access real-time data from across your business ensures that Agents can make up-to-date decisions.

    Worried about the security of your data?

    Using Salesforce’s Einstein Trust Layer, Agents act ethically and securely; sensitive data is never retained and, therefore, never exposed to third-party services. Agentforce was designed with data privacy as a top priority. Your Agents and the data they access are kept securely within your organisation at all times. Interested to learn more about the security features of Agentforce? Check out our latest article here.

    So, Agentforce makes it easy for anyone to build an Agent. Why then, do you need help from a partner?

    Salesforce’s Agentforce is renowned for its user-friendly design, enabling businesses to implement AI-powered agents with minimal friction. However, to truly unlock its potential, partnering with a Salesforce expert is essential. Here are four reasons why:

    1. Building a Solid Data Foundation

    Agentforce depends on reliable, high-quality data to deliver accurate and meaningful outputs. Without a robust data structure, even the most advanced AI becomes ineffective. A Salesforce partner can help you clean, organise, and structure your data, ensuring Agentforce has a trusted source to draw from. This foundational work is critical for achieving reliable results and optimising performance.

    1. Customising Agentforce to Fit Your Business

    While Salesforce provides excellent out-of-the-box solutions, every business has unique processes and goals. A partner can tailor Agentforce to align precisely with your requirements, helping you go beyond the default setup. By customising workflows, agent actions, and integrations, a partner ensures your investment in Agentforce delivers maximum value.

    1. Perfecting Prompts for Accurate Outputs

    Agents rely on well-constructed prompts to produce desired results. A Salesforce partner can guide you in crafting these prompts, ensuring they align with your specific objectives while avoiding unintended outputs. This expertise simplifies the process of achieving exactly what you need from your AI agent.

    1. Strategic Guidance and Foresight

    Salesforce partners bring experience gained from working with multiple businesses across industries. This enables them to provide strategic insights and best practices for your AI roadmap. A partner’s expertise ensures you not only meet immediate needs but also plan effectively for future growth and innovation.

    AgentForce is a huge leap forward for the AI use case in businesses. This really is the future of work coming together now and if you’re not ahead – you might as well be behind. By collaborating with a Salesforce partner, you can transform Agentforce from a powerful tool into a tailored solution that drives measurable results for your business. Book a complimentary consultation with us today to begin your AgentForce journey!

  • Salesforce AI for Transport and Logistics: Revolutionising Operations and Enhancing Efficiency

    Salesforce AI for Transport and Logistics: Revolutionising Operations and Enhancing Efficiency

    The transport and logistics industries are at the forefront of adopting innovative technologies to meet the ever-growing demands of a global economy. Among these technologies, artificial intelligence (AI) is a game changer, streamlining processes, improving decision-making, and driving customer satisfaction. From optimising deliveries to generating actionable insights, Salesforce’s Einstein AI is transforming how businesses operate. Below, we explore key use cases for AI and Agentforce (Salesforce’s autonomous AI Agent) in the transport and logistics sector, highlighting its potential to boost productivity and cut costs.

    1. Scheduling and Amending Shipments and Deliveries

    Agentforce is revolutionising scheduling by providing trusted, autonomous assistants who can flexibly make changes for the customer without the need for human interference. Within strict guardrails determined by the user, Agentforce provides real-time updates and precision in planning and amending shipments and deliveries – eliminating arduous and time-consuming data entry. For B2C clients, Salesforce’s AI systems can analyse customer preferences and traffic patterns to propose optimal delivery windows. For B2B clients, AI ensures supply chain coordination by adapting schedules to changing business needs, such as production delays or fluctuations in demand.

    Additionally, Salesforce can handle dynamic rerouting when unforeseen disruptions – like weather events or traffic jams – occur. This minimiaes delays and ensures a seamless customer experience. By automating these adjustments, transport and logistics companies save time and reduce manual errors, ultimately enhancing reliability.

    2. Generating Sales Pitches

    More than ever, Sales teams face the challenge of crafting compelling pitches that resonate with potential clients. AI steps in by analysing the large volumes of data in your CRM – such as customer behaviour, market trends, and competitors’ services – to create personalised sales pitches.

    For example, AI tools can recommend value propositions tailored to a prospect’s business model or suggest cost-saving measures that align with their logistics needs. These AI-generated pitches are not only more swift and efficient but also data-driven, giving sales teams a competitive edge in securing contracts.

    3. Qualifying and Passing Leads to Sales Representatives

    In the fast-paced and ever-growing logistics industry, identifying high-quality leads is crucial for sales efficiency. Agentforce excels at qualifying leads by analysing customer data, interaction history, and engagement patterns and providing a user-friendly interface in the lead-to-opportunity stage. Based on predictive analytics and historical trends, Einstein AI can also identify which prospects are most likely to convert.

    Once a lead is qualified, the Agent ensures a smooth handoff to sales reps by providing context-rich summaries, such as the client’s pain points, preferred logistics solutions, and budget considerations. This streamlines the sales process and allows reps to focus on closing deals instead of sifting through raw data.

    Although the technology has the capacity to interact (and take action), just like a human, the Agents are always candid in their use of AI. This provides prospects with speedy, top-tier service and personalisation, all without sacrificing trust and transparency.

    4. Creating Forecast Summaries

    Forecasting is critical for managing resources effectively and anticipating market shifts. Einstein AI enables the creation of forecast summaries by analysing historical data, market conditions, and upcoming trends. These summaries provide actionable insights, such as anticipated shipment volumes, seasonal fluctuations, or regional demand patterns.

    By leveraging AI for forecasting, companies can better allocate resources, plan warehouse capacities, and manage fleet availability. By combining the power of Einstein with an Agentforce Agent, transport & logistics companies can enhance and automate all of these processes via these helpful and flexible assistants. This use of AI reduces waste, prevents overstocking or underutilisation, and ensures that businesses are prepared to meet customer demands efficiently.

    5. Predictive Maintenance

    Fleet reliability is essential in logistics, and predictive maintenance powered by Salesforce’s AI suite ensures that vehicles and equipment stay operational. Systems have the ability to integrate with technologies which monitor real-time data from sensors embedded in trucks, planes, ships, or warehouse machinery to detect signs of wear and tear. Einstein can then collate this information in reports and dashboards to ensure that all asset data is accurate and complete.

    For example, AI can be used to predict when a truck’s brakes are likely to fail based on usage patterns and alert the maintenance team to take proactive action. This reduces downtime, extends the lifespan of assets, and reduces repair costs. Predictive maintenance not only boosts efficiency but also enhances safety for drivers and operators.

    6. Driver Insights and Performance Optimisation

    AI can play a pivotal role in improving driver performance and safety. By analysing data from GPS systems, telematics, and onboard sensors, AI can provide actionable insights into driver behavior. For instance, it can identify patterns such as excessive speeding, harsh braking, or inefficient fuel usage.

    Companies can integrate their data and use these insights to provide targeted training to drivers, promoting safer and more fuel-efficient practices. Additionally, AI tools can be used to optimise driver routes, ensuring that deliveries are completed faster while minimising fuel consumption. In this way, drivers can have access to the information they need for safe and successful distribution, all on the Salesforce platform.

    By focusing on driver performance, businesses can improve service quality and reduce operational costs.

    The Future of AI in Transport and Logistics

    As Salesforce’s AI technologies continue to evolve, their applications in transport and logistics will only grow. The integration of AI into everyday operations allows businesses to not only meet current demands and support customers but also adapt to future challenges with agility and precision. By leveraging AI for tasks like scheduling, lead qualification, and predictive maintenance, companies can achieve significant cost savings and operational efficiency while delivering exceptional service to their clients.

    In a highly competitive industry, adopting AI isn’t just an option—it’s becoming a necessity for businesses aiming to stay ahead. Whether you’re managing a fleet, optimising routes, or closing deals, AI offers the tools to transform the way you work, paving the way for a smarter, more connected logistics ecosystem.

    From shipment scheduling to predictive maintenance, the potential of AI in the sector is boundless. Companies that embrace these innovations today will be well-positioned to lead the industry into an intelligent and efficient future.

    To learn more about how we can unlock the benefits of AI for your business, contact us today or book your complimentary Agentforce readiness consultation.

    Take a look at our resources or learn more about Agentforce here.

  • Using AI Without Sacrificing Trust

    Using AI Without Sacrificing Trust

    How Salesforce is alleviating the fears of consumers in the rise of AI

    As a marketer, I have been grappling with the implications of AI for some time now. Of course, there’s the scaremongering of imminent job loss for anyone in the creative space (which I believe is unnecessary – but that’s another article!), but when it comes to systems absorbing and exploiting any inputs, there will always be a concern for security.

    It’s a bit of a catch-22, because if the MLMs don’t receive real inputs, from real humans, they are unable to generate valuable outputs. AI learns from humans and the more we talk to it and share our experiences, the better it gets. The issue with this is that any information disclosed to these ‘virtual assistants’ becomes publicly available.

    With that being said, Salesforce has overcome the obstacles to create a flexible, autonomous Agent that doesn’t put your organisation’s data (or, your customers’) at risk. Agentforce is built on a whole new model, integrating data protection and compliance at every step. We examine some aspects of the aptly named ‘Einstein Trust Layer’ in more detail below.

    Source: https://www.salesforce.com/uk/artificial-intelligence/trusted-ai/

    The Einstein Trust Layer: A Foundation for Secure AI

    Think of the Einstein Trust Layer as the foundation of Salesforce’s AI system. It’s here to help businesses like yours use generative AI with total confidence. Built into Salesforce from the ground up, it’s designed to keep your customer and organisational data safe while helping you unlock all the amazing potential AI has to offer.

    Here’s what makes the Einstein Trust Layer so reliable:

    • Data Grounding: AI responses are based on your company’s trusted data, making them accurate and relevant.
    • Zero-Data Retention: Your data isn’t stored or used by third-party AI providers – ever.
    • Toxicity Detection: It flags harmful or inappropriate responses to keep interactions professional and trustworthy.
    • AI Monitoring: Everything the AI does is logged, so you can see exactly how it’s performing.

    On top of that, sensitive information, including PII (Personally Identifiable Information), is protected in transit and never used to train external AI systems. This means you get cutting-edge AI without any risks to your data security or compliance.

    AI Guardrails: Keeping AI Responsible and Secure

    Agentforce comes with built-in guardrails to ensure AI behaves ethically and stays secure. These guardrails help prevent AI from making up information (a.k.a. hallucinations) and block malicious attacks like prompt injections.

    You can also tweak how the AI works by using agent topic instructions. These let you set boundaries, provide context, and define behaviour. This flexibility means you can tailor the AI to meet your team’s specific needs.

    For example:

    • Service Agents: Can escalate tricky cases to a human service rep when needed.
    • Sales Agents: Follow engagement rules for contacting leads, including when and how emails can be sent.

    These controls mean you’re always in charge of how AI supports your business.

    Permissions and Access: Built with Salesforce Standards

    Agentforce is designed to work within the same permission structure you already trust in Salesforce. That means AI agents follow all your licenses, sharing settings, and field-level security.

    Here’s what that looks like:

    • Licenses and Permissions: AI agents respect the same access controls as your human users.
    • Standard and Custom Actions: Whether using pre-built or custom actions, the AI sticks to the rules set in Salesforce, including those in flows or Apex classes.

    In short, Agentforce doesn’t just drag and drop AI into your business – it does so securely and responsibly, integrating the technology seamlessly to always keep your existing access controls intact.

    With the Einstein Trust Layer, guardrails, and robust permissions, Salesforce ensures that AI isn’t just powerful—it’s also trustworthy, secure, and built to help your business succeed. Although using Agentforce certainly sets you up to use best practices when it comes to AI, here are some of our top tips for using AI with integrity:

    1. Don’t hide your use of AI.

    This is the big one. There’s nothing worse than realising, mid-conversation, that you are talking to a limited bot who can’t get you the result you need. If you are using AI in your business, always prioritise honesty for your customers. Ensure that any automated emails, chatbots and virtual assistants are signposted as AI, and always provide the option to speak to a human, even if you can’t justify investing in live-chat capability. Customers would certainly rather wait for an email than chase their tale speaking to a bot that cannot solve their questions.

    1. Prioritise Security

    To ensure AI systems are secure, businesses must adopt best practices tailored to the unique risks of AI. Start by addressing hallucinations—deploy guardrails that ground AI outputs in trusted, accurate data to reduce the risk of misinformation. Protect against malicious prompts by using robust security protocols, such as input validation and prompt injection defenses. Establish clear user permissions, ensuring AI access aligns with your organisation’s security policies. Regularly monitor AI interactions, logging events for transparency and auditing. Ask critical questions like: Is my data secure in transit? Are my models compliant with regulations? Taking a proactive approach by prioritising security in your AI strategy safeguards systems and builds trust.

    1. Keep humans at the centre

    AI should never be left to its own devices when it comes to the customer. Now more than ever, customers are craving down-to-earth, candid interactions because we are exposed to so much ‘virtual reality’. As much as the media likes to perpetuate the image of artificial intelligence taking over, humans are complicated! You cannot simply replace the critical thinking, empathy and understanding with technology, and we wouldn’t want to. And that is exactly why Salesforce approaches AI as a way to enhance the user and customer experience, removing the time consuming tasks that hold people back from reaching their potential. Their mantra here is, ‘Humans and Agents Together’, and that is exactly how we should see it. AI isn’t something to be left to it’s own devices, but rather a new colleague who must be guided, monitored and developed.

    In summary, Agentforce intentionally encapsulates these three indicators of trust. With strict guardrails and a user-friendly interface, this exciting new technology was designed to provide assistance swiftly and cost-effectively – always keeping humans and trust at the core of it’s design.

    To learn how your business can level up with Salesforce AI, book your complimentary readiness consultation today!
    Read more on Agentforce and how we address Common AI Concerns.

  • Should I be worried about AI?

    Should I be worried about AI?

    Artificial Intelligence (AI) is rapidly transforming industries and the way we work. Some will have already noticed substantial differences in their industry, whereas others will have had little to do with AI thus far. The notion of such a drastic change can be intimidating, especially when headlines frequently shout about machine learning replacing existing job roles. The truth is, while we are on the precipice of a monumental evolution in the way we work (and eventually live), we can all be using AI to our advantage.

    At recent business and thought leadership conference, BizX 2024, leading businessman and investor Piers Linney described the AI shift as a ‘ship leaving the harbour’. This analogy denotes that it is possible to get ahead using these evolving technologies by making the ‘leap onto the boat’. Those who fail to leverage and understand AI in the early adoption phases may be left ‘waiting at the harbour’ for the next boat to arrive. Linney expertly suggests that individuals should start thinking about how they can scale the value pyramid in their industries. Perhaps marketers can upskill in strategy and technology in order to oversee content creation and scheduling that can now be performed by AI tools. A translator may perhaps leverage AI to do the heavy lifting but perform sentiment checks and optimise the translation to meet compliance, legal and regulatory best practices.

    As AI capabilities grow more advanced and accessible, proactively learning to utilise AI will prove crucial for career success and remain indispensable in the emerging AI-driven workforce. Those who upskill and find ways to team with AI will have a significant competitive edge over those who don’t. Here are some ways that you can harness the power of AI to get ahead in your career:

    Automate Time-Consuming Tasks

    Many AI tools can automate repetitive, tedious tasks that eat up your valuable time and mental energy at work. For example, AI writing assistants can help draft emails, reports, marketing copy and other content faster. Virtual assistants can schedule meetings, handle data entry and take care of administrative work. By offloading mundane tasks to AI, you can focus on higher-level tasks.

    Upskill and Fill Knowledge Gaps
    AI is exceptional at rapidly processing and analysing vast amounts of data to derive insights. You can tap into that capability to continuously learn and expand your knowledge base. AI research tools can help you quickly find relevant information on any topic from credible sources to deepen your expertise. AI tutoring systems can also provide personalised instruction to help you master new hard and soft skills.

    Enhance Decision-Making

    Leverage AI’s analytical prowess to make smarter, data-driven decisions that drive better business outcomes. AI can analyse complex data sets, run forecasting models, map out scenarios and uncover patterns and recommendations that would be difficult for a human to see. AI insights can help you make more informed choices, identify emerging trends and opportunities, solve problems more effectively and optimise processes.

    Generate Innovative Ideas

    Although AI is in the early stages of ‘creative’ style ‘thinking’, AI tools can augment and catalyse human creativity and innovation in powerful ways. Use tools such as Claude and Chat GPT for brainstorming, exploring “what-if” scenarios, combining disparate ideas and concepts in novel ways, and rapidly visualising and simulating ideas. If used in the right way with the right prompts, these tools can provide fresh perspectives and suggestions that spark new creative directions.

    Strengthen Networking and Branding

    AI and machine learning can scour vast datasets to uncover new professional connections, job leads, and career opportunities tailored to your experience and goals. AI writing tools can help you craft more compelling resumes, bios, profiles and other personal branding content. AI-powered networking apps such as can match you with relevant industry events, conferences and meetups. Some AI tools can even coach you on enhancing interpersonal skills, public speaking and presence!

    Ultimately, we are the ones who decide whether AI will help or hinder us. Although timelines are debated, we know that certainly these new technologies will transform the landscape of business. AI can only be as good as we make it, so take time to learn best practices (even such as saying ‘please’ and ‘thank you’!). If the input is of high standard, naturally, so will be the output, so take the leap onto the ship today and help make the future of business as bright as it can be!

    Want to know how AI and automation could help your business get ahead? Call us today on 01453 703230 or email hello@performa-it.co.uk.

  • Is 2025 the Year to Say ‘Yes’ to AI?

    Is 2025 the Year to Say ‘Yes’ to AI?

    As we stand on the cusp of 2025, the question lingers: is this the year to embrace artificial intelligence (AI) fully? While AI has been a transformative force in the past decade, its exponential advancements in recent years have pushed the technology to the forefront of nearly every industry. From healthcare to energy, education to logistics, AI is no longer a futuristic concept; it is a present-day reality. But is 2025 the tipping point for saying an unequivocal “yes” to AI?

    The Momentum Leading to 2025

    AI has steadily evolved from being a tool for tech enthusiasts to a mainstream necessity. In 2024 alone, AI-driven technologies revolutionised the way we work and live. Generative AI tools like ChatGPT, DALL·E, and their successors enabled people to create content, code, and designs with unparalleled efficiency. These developments have set the stage for 2025 to be a watershed year.

    According to industry experts, AI adoption rates are expected to rise, driven by increased accessibility, improved algorithms, and mounting pressure on organisations to stay competitive. Gartner (2024) predicts that generative AI will account for over one-third of AI software spending by 2027, and concluded that 71% of businesses are extremely likely to invest in AI-powered software. The combination of these factors creates a perfect storm, urging individuals and businesses alike to embrace AI – or risk falling behind.

    Why 2025 Is Different

    The question, “Why now?” is valid. After all, AI has been growing steadily for years. What makes 2025 so unique?

    1. AI for Everyone In previous years, AI was primarily accessible to tech companies and researchers with deep pockets. But 2025 marks the democratisation of AI. Tools are becoming more affordable, user-friendly, and customisable. Salesforce’s latest release of a new autonomous assistant, ‘Agentforce’, forms an excellent example of this. It’s been a long time since a technology has emerged that can level the playing field between small, medium and large businesses – and access to an elite sales and service tool that can provide top-tier experiences 24/7 will surely cause a change in the competitive landscape.
    2. Regulatory Frameworks One major barrier to AI adoption has been uncertainty around regulations. In 2025, governments and international bodies intend to roll out clearer guidelines to ensure ethical AI use. From data privacy laws to frameworks preventing algorithmic bias, these regulations offer both protection and confidence to new adopters.
    3. AI-Powered Sustainability With climate change being a critical global concern, AI’s potential to drive sustainability has never been more important. In 2025, AI is being deployed to optimise energy grids, reduce waste in manufacturing, and even monitor ecosystems for signs of environmental degradation. Companies and governments are turning to AI to meet their sustainability goals.

    The Opportunities of Saying “Yes” to AI

    Embracing AI in 2025 means tapping into a wealth of opportunities. Here are a few key areas where AI is set to make the biggest impact:

    1. Workplace Transformation AI is revolutionising the workplace, automating repetitive tasks and enabling employees to focus on higher-level, creative work. Tools like AI project managers, virtual assistants, and predictive analytics platforms are boosting productivity and helping organisations make data-driven decisions.
    2. Enhanced Creativity and Personalisation For individuals, AI opens new doors for creativity. Musicians use AI to compose melodies, writers collaborate with AI for storytelling, and artists leverage it to explore uncharted aesthetic territories. Additionally, businesses are using AI to deliver hyper-personalised customer experiences, from marketing campaigns to product recommendations.
    3. Healthcare Breakthroughs In 2025, AI will not only start reliably diagnosing diseases universally but also aid in the discovery of new medicines (Chitnis, 2024). Algorithms can analyse massive datasets to identify potential treatments in a fraction of the time traditional methods require. AI-powered wearables monitor health in real-time, enabling early intervention and improved patient outcomes.
    4. Education Reimagined Education is becoming more inclusive and effective thanks to AI. Personalised learning platforms adapt to each student’s pace and style, breaking down barriers for those with disabilities or different learning needs. AI assistants can supercharge student support to ensure that each student gets the attention and resources they need. Teachers are empowered with AI tools to analyse performance and tailor their lessons accordingly.

    The Risks of Hesitation

    While the opportunities are compelling, there are risks in hesitating to adopt AI. Businesses that fail to integrate AI risk losing competitive advantages. Workers who avoid engaging with AI tools might find their skills outdated. Even on a societal level, resisting AI could mean slower progress in tackling critical issues like healthcare and climate change.

    Of course, saying “yes” to AI doesn’t mean diving in recklessly. It’s essential to adopt AI thoughtfully and ethically. This involves ensuring transparency in how AI systems operate, addressing potential biases, and preparing for workforce transitions through reskilling initiatives.

    How to Start Saying “Yes” to AI

    For those ready to embrace AI in 2025, here are some practical steps:

    1. Educate Yourself and Your Team Understanding AI’s capabilities and limitations is crucial. Take online courses, attend webinars, or join AI-focused communities to stay informed. As an implementation partner, our number one priority is to ensure that the teams we work with are fully on board with new technology and understand how it will improve and augment their jobs.
    2. Start Small Work with your stakeholders to isolate 1-3 simple use cases that can be developed and scaled. Think of the challenges you are facing; Unsatisfactory service scores? Wasteful admin burdens? Multiple manual processes? Rising support costs? Delving into your pain points is a great starting point for building your AI roadmap.
    3. Partner with Experts Collaborating with an AI consultant like Performa IT can help navigate the adoption process and avoid common pitfalls. We’ve done the learning so you can hit the ground running.
    4. Prioritise Ethics and Accountability Ensure your use of AI aligns with ethical guidelines and prioritise transparency to build trust among stakeholders. Read our article ‘Using AI without Sacrificing Trust’ to learn more.

    The Verdict: Is 2025 the Year?

    As AI becomes more accessible, affordable, and impactful, 2025 feels like the perfect time to say “yes.” Whether you’re an individual looking to boost creativity, a business aiming to stay competitive, or a non-profit striving for progress, embracing AI offers transformative potential.

    Of course, the decision to adopt AI comes with responsibilities. But with thoughtful implementation and a willingness to adapt, 2025 could be the year that saying “yes” to AI becomes the smartest decision you make. So, what’s your answer?

    Say ‘yes’ to AI by scheduling a complimentary AI readiness workshop, where our expert team will help you define your use cases and create your implementation roadmap. You can book your initial Salesforce AI consultation here.

    References:

    • Chitnis, S. (2024) AI will boost drug development in 2025. The Economist. Available [online] https://www.economist.com/the-world-ahead/2024/11/20/ai-will-boost-drug-development-in-2025. [Accessed 02/01/2024].
    • Gartner (2024) Forecast Analysis: Artificial Intelligence Software, 2023-2027, Worldwide.
    • Gartner (2024) Predicts 2024: The Transformative Impact of Generative AI on Legal Technologies.
    • Jain. A (2024) 4 AI Software Trends Shifting Buying Behavior, Gartner Digital Markets. Available [online] https://www.gartner.com/en/digital-markets/insights/ai-software-trends#sources. [Accessed 02/01/2025].
  • How Agentforce Can Transform Your Business and Drive ROI. 

    How Agentforce Can Transform Your Business and Drive ROI. 

    Digital transformation is accelerating, and businesses are under pressure to improve operational efficiency and customer experience. Our clients have asked how Salesforce’s autonomous assistant, Agentforce, can support their organisations and have requested advice on creating a business case to justify the investment. Our aim is to explain how Agentforce AI can provide tangible value, addressing the primary expectations and concerns surrounding its adoption.

    Expectations for Measurable ROI (Return on Investment) and Business Value

    Client Concern

    “Before committing, we need a clear understanding of how Agentforce will provide measurable ROI. We are sceptical about AI-driven solutions, especially as prior attempts with automation tools failed to meet our expectations.”

    How Agentforce AI Delivers

    Agentforce enhances efficiency in delivering support by reducing response times, predicting customer needs, and suggesting tailored solutions based on real-time data. This kind of AI-driven, proactive service translates to faster case resolution, lower operational costs, and increased customer satisfaction. For example, Agentforce’s case categorisation feature automatically classifies cases, reducing the amount of time the user spends on routine tasks, an efficiency that can lead to significant time savings.

    How We Can Help

    We partner with clients to develop a business case based on industry-specific metrics. By helping to identify measurable KPIs, such as case resolution time reduction, agent productivity, and increased customer satisfaction, we can set clear targets that align with business goals. Additionally, we support by setting up reporting to regularly track these metrics post-implementation.

    Seamless Integration with Existing CRM Processes

    Client Concern

    “One major concern is whether Agentforce will integrate smoothly into our existing Salesforce environment without disrupting operations.”

    How Agentforce Delivers

    Agentforce is designed to seamlessly integrate with Salesforce’s suite of products, making it a natural fit for clients already invested in the technology. It enhances existing CRM workflows by adding predictive and generative capabilities that optimise user interactions without requiring extensive configuration changes.

    How We Can Help

    Our team works to ensure that the AI features align with existing workflows, reducing the need for extensive re-training. We focus on a phased approach, enabling the gradual adoption of AI features so that teams can adapt to the transformation comfortably. Additionally, we provide custom configurations to align Agentforce AI with specific client requirements, ensuring a smooth transition and maximising value from day one.

    Expectations for Enhanced Customer Satisfaction

    Client Concern

    “We expect that adopting Agentforce will improve customer satisfaction scores by delivering faster, more personalised support. However, we are unsure how AI can help achieve this without compromising on the quality of interactions.“

    How Agentforce AI Delivers

    Agentforce uses machine learning algorithms to predict customer needs based on historical data, empowering agents to proactively complete actions within the set parameters and provide highly relevant responses. If, however, a customer has a complex issue, Agentforce can escalate it to the support agent, allowing them to offer a permanent solution. This level of personalisation leads to a higher customer satisfaction score (CSAT) and net promoter score (NPS), always keeping humans at the centre of the technology.

    How We Can Help

    Our implementation team at Performa IT works closely with clients to set up customer feedback loops. We support training for users to leverage Agentforce to its fullest potential, helping to ensure that any AI recommendations align with real-world customer expectations. Through post-implementation reviews, we track improvements in CSAT and NPS, tying these metrics back to Agentforce usage.

    Concerns About Data Privacy and Security

    Client Concern

    “We need to understand how handling sensitive customer data is managed around data privacy and security, especially with AI-driven solutions that analyse large amounts of personal information.”

    How Agentforce AI Delivers

    Salesforce has a strong track record of compliance with data security standards such as GDPR, CCPA, and HIPAA, and Agentforce adheres to these stringent security protocols, ensuring that customer data remains protected. With Agentforce’s highly secure data model and trust layer, no information is shared beyond your organisation. The AI’s data usage is limited to operational insights rather than intrusive data extraction.

    How We Can Help

    We work with clients to clarify data privacy features and provide necessary compliance for their internal audits. Our team also customises data retention and access settings within Agentforce AI, ensuring that the solution aligns with the client’s internal data governance policies and external auditing requirements.

    Expectations for User-Friendly AI with Minimal Learning Curve

    Client Concern

    “We worry about the complexity of AI tools and how they might burden our customer service agents with an additional layer of technology to learn.”

    How Agentforce AI Delivers

    Agentforce is designed with a user-friendly interface that integrates directly into the existing Salesforce dashboard. It offers real-time suggestions, predictive prompts, and case recommendations that are easy for users to understand and act upon while enhancing workflows rather than complicating them. Additionally, Agentforce operates off of natural language, meaning that employees can communicate with their AI assistants as if they were instructing another colleague.

    How We Can Help

    We provide hands-on training and a knowledge transfer program to ensure users feel confident using Agentforce AI. Our team offers a phased deployment approach, allowing users to become comfortable with simpler features before adding more advanced functionalities. This ensures a smooth adoption process with minimal disruption to day-to-day operations.

    Concerns Over Customisation and Scalability

    Client Concern

    “We operate in an industry with unique demands, so we need assurance that Agentforce can be customised and scaled to meet our specific needs.”

    How Agentforce AI Delivers

    Agentforce AI is highly configurable and can be tailored to various industry requirements, whether in retail, healthcare, or financial services. Its machine learning models can be adapted to prioritise the needs and trends of different business sectors, allowing it to grow alongside the business.

    How We Can Help

    At Performa IT, we offer consulting and implementation support to customise Agentforce AI for specific business use cases. Additionally, we provide guidance on best practices for scaling the solution as the client’s needs evolve, ensuring that Agentforce remains a strategic asset as their business grows.

    As one of the first partners to roll out an Agentforce AI pilot in the United Kingdom and Ireland, we are already seeing a significant opportunity for companies looking to transform their operations and improve ROI. As a Salesforce consultancy with over 13 years of experience, Performa IT are here to support our clients at every stage of the Agentforce journey from defining the business case and customising the solution, to training teams and measuring results. By addressing key concerns and aligning the technology with business objectives, we help ensure that Agentforce delivers real, measurable, and sustainable value.

    Check out performa-staging.co.uk/agentforce/ for more information, or to get started with an Agentforce Readiness Consultation.

    Article by: Paul O’Dowd

    Title: Chief Commercial Officer

    Company: Performa IT Limited (UK)

    Web: performa-staging.co.uk

  • The Dawn of Agentforce

    The Dawn of Agentforce

    Transforming the future of work

    This year’s Dreamforce is ready to get underway, undoubtedly with a huge focus on Salesforce’s latest Einstein innovation: Agentforce. Agentforce allows you to create an autonomous conversational assistant for any channel, created to respond and act upon natural language requests. Gone are the days of sifting through data and completing lengthy admin tasks – Agentforce helps you serve your customers in seconds. Your agent can help with tasks such as scheduling appointments, diagnosing issues, navigating returns, qualifying leads, amending bookings and suggesting the right products with dynamic discounts for your customers.

    This is a virtual assistant like no other – you don’t need to create laborious dialogue trees and if/then/else logic, the agent already understands descriptions, scope and instructions delivered in natural language. In the past, we have seen virtual assistants that can provide a standard level of service and troubleshooting. Agentforce goes beyond that, possessing the ability to complete actions within the parameters you set for it with clicks, not code. These intelligent helpers have the capacity to understand the nuances of human interaction, navigating context and complicated queries from customers. They can even interpret shorthand responses, as Agentforce gives AI agency to reason (within the boundaries you set) giving the assistants more flexibility to perform their job to a human standard. Notably, the agent is also multimodal, which means it has the ability to interpret images as well as text.

    Historically, designing and maintaining virtual assistants and chatbots is an extremely time consuming task. Even with an abundance of effort and refinement, you would often end up with a bot that produced static, ‘one-size-fits-all’ responses. Now, you can easily and swiftly create tasks for your assistant to perform using actions, putting in place clear boundaries to ensure that the agent performs exactly what you (and your customer) would like it to do. These actions can be based on flows, apex classes or prompts. The more prescriptive and precise you are with your prompts, the better. With clear instruction, the Einstein agent can deftly handle personalised customer interactions whilst embodying your brand voice.

    Essentially, the technology is designed to have a level of autonomy that we have never experienced before. Whilst Agentforce has the ability to be flexible, it also comes with the innate ability to detect harmful inputs and redirect to approved topics. This means that the AI won’t absorb or recycle any information that could damage your business. Salesforce has armed the virtual assistant with the automatic ability to detect and reject attempts to damage the tool with malicious prompts. This negates any fears that external inputs can manipulate your agent’s responses.

    Want to dramatically reduce your customer service or business development costs, without sacrificing customer experience? Agentforce might be the solution for you! Give us a call on 01453 703230 or email hello@performa-it.co.uk to claim your free AI use case workshop.

    #PerformaIT #Salesforce

  • Dreamforce Keynote: The Highlights

    Dreamforce Keynote: The Highlights

    It’s no surprise that this year’s Dreamforce will be focused on one key theme: AI. Specifically, Agentforce. Agentforce is Einstein Copilot reinvented, with the key addition of collaborative autonomy. But with 1,500 sessions to watch, Dreamforce can seem a bit daunting! So, what are the key takeaways? These can be gleaned from the Dreamforce keynote, and we have provided a summary of the 90-minute presentation to provide you with the Dreamforce highlights.

    1. Introduction
    2. A Vision for Agentforce: Mark Benioff, CEO
    3. Explaining Agentforce: Clara Shih, CEO of Salesforce AI
    4. Live Demo of an Agentforce User Story: Patrick Stokes, EVP of Product and Industries Marketing
    5. Where Data Cloud Comes In: Sanjna Parulekar, VP of Marketing
    6. Use Cases for Agents: Leah McGowen-Hare, SVP of the Trailblazer Community
    7. Key Announcements

    1. Introduction

    Whether Sales, Marketing, Service, or Commerce, Salesforce now boasts an ‘Agentforce layer’ to its 360 suite, meaning that you can deploy autonomous agents to complete actions by harnessing your business data. Salesforce’s aim for Dreamforce 2025 is to show its customers the power of leveraging every cloud and every agent, on one trusted platform.

    The leading CRM giant emphasises that you shouldn’t have to ‘DIY your AI’, meaning that all the hidden costs, effort and resources associated with typical machine learning models (MLMs) are eliminated with this new innovation. All of the functionality is available in the Salesforce platform; no training, no disconnected data, no investment in new resources, no code.

    That all sounds great, but where do you start? Well, Salesforce recommends working backwards from the value. Once you have identified the benefit, whether this is reducing toil, reducing cost, or enhancing experience, you can then roadmap how to extract that value from the system.

    2. A Vision for Agentforce with Mark Benioff, CEO

    In his opening speech, Marc Benioff welcomes an era of AI, envisioning “humans with agents driving customer success together with Salesforce.”

    He acknowledges that their ‘second wave AI’ offering of copilots did not perform exactly as customers wanted them to, with no real augmentation or autonomy and no substantial indent in workload. Today, the team is pushing Salesforce to the next step – Agentforce. Marc urges that this is the most exciting and important aspect of Dreamforce ‘25, showcasing technology never seen before.

    “Why are we struggling with chatbots, copilots and MLMs, when we can create technology to just take care of business? With all compliance and governance included across the industries so you can deploy the technology as you need it… A single, professionally managed, secure, reliable platform that nurtures all those stakeholders that are so important for your company.”

    Following on from predictive functionality to the evolution of copilots, we are now in the third wave of AI. Marc emphasises that “innovation and AI is in the DNA of Salesforce” and that these brand new out-of-the-box and customisable agents are the “biggest breakthrough [Salesforce] has ever made.”

    By introducing new, trusted, and secure functionality to the CRM that you know and use day to day, Salesforce has provided its customers with instant scalability with a very high level of accuracy and the lowest hallucinations (incorrect or misleading results) we have seen. This is because we can now harness the data, metadata, workflows, security, and sharing models that we have trusted for the past 25 years to create a more accurate AI.

    This innovation, which will be generally available in October, is easy to build, requires no code, is instructed by natural language and is notably the most accurate AI in the world. Even better – it is built right into the Salesforce 360. The more customer touchpoints you have with Salesforce, the more AI can help you improve your business with the unified metadata platform.

    3. Explaining Agentforce with Clara Shih, CEO of Salesforce AI

    CEO of Salesforce AI, Clara Shih, begins her presentation with a striking statement; “the future is AI as commonplace as Apps and Webpages”.

    She goes on to outline the five components of building a next gen Salesforce AI agent:

    • A role: for example, a Sales Development Rep, Account Executive, or Service Agent.
    • Data: which is already existing in Salesforce; custom objects, slack conversations, knowledge articles, metadata (structured or unstructured), and even external data can be activated by Agentforce.
    • Actions: in essence; what are the workflows, the automations to get the job done? Prompts, flows, apex code and Mulesoft APIs can be ‘point-and-clicked’ and used to empower agentforce.
    • Channels: where customers and employees are interacting with agents (for example, whatsapp, voice, email, messenger etc).
    • Trust and security: this exists within the Einstein Trust Layer – every Agentforce implementation comes pre-built with prompt injection defence, data privacy and guardrails e.g. toxicity filters and monitoring.

    “Everything you have ever done becomes the guide and the guardrails for your autonomous Agentforce.”

    This statement means that, providing that your data is clean and harmonised, everything you need to leverage the power of Agentforce already exists, ready to go, in your Salesforce system.

    Clara introduces the Atlas Reasoning Agent, which is the brain of Agentforce; continuously looping to be sure it can achieve your goal. It harnesses both structured data (such as databases, objects and tables) and unstructured data (such as email bodies, videos and images) to take action across the customer 360, which might manifest in activities such as engaging with a prospect, confirming a reservation, or serving a customer. Atlas knows when and how to seamlessly escalate to one of your service reps if it doesn’t yet have the capability to solve a request. The beauty is, the more you use it, the smarter it gets – and all outcome data is proprietary to your business, creating strategic advantage over time.

    To conclude this deeper dive into how Agentforce was designed, we are left with some enticing statistics. Based on customer benchmark data, Agentforce boasts 33% greater accuracy and 2x more relevancy than the other leading models. This data can give users the confidence to delve into this new technology, and Salesforce has provided over 100 industry-specific use cases and out-of-the-box actions as a great place to start.

    4. Live Demo of an Agentforce User Story with Patrick Stokes, EVP of Product and Industries Marketing

    If the standard Agentforce actions don’t fit your use cases, it is also simple to customise and build your own with Agent Builder in Agentforce Studio. Patrick Stokes, EVP of Product and Industries Marketing joins the Dreamforce keynote team to provide a live demo of how a Salesforce customer is using Agentforce to revolutionise the way they do business.

    Luxury fashion brand Saks Fifth Avenue debuted its Agentforce solution just prior to the Dreamforce kickoff. After initial conception, the pilot was up and running in only a week! To align with the shift in customer behaviour from in-store to online shopping, Saks pivoted to e-commerce and is now using Agentforce to provide a level of personalised service that would previously only have been attainable in person.

    Agentforce makes customer recommendations based on preference, unlocking the ability to provide millions of customers with a personal stylist. Now, a luxury experience can be delivered at scale and amplified to online channels, delighting customers with service that is personal and authentic.

    Patrick gives the Dreamforce audience a live demo of ‘Sophie’, Saks’ agentforce agent, by giving her the ability to amend, refund, advise on and exchange an order – all in one phone call. Using multimodal AI, ‘Sophie’ can recognise the customer, apologise for any inconveniences, recall the order and date, recommend based on purchase history and even answer detailed queries about the product.

    5. Where Data Cloud Comes In with Sanjna Parulekar, VP of Marketing

    We are all familiar with the notion that the quality of AI output can only be as good as the input. In this segment, Sanjna underlines the importance of data quality. Salesforce’s Data Harmonisation tool, Data Cloud, is a great option for those needing to collate their information. With no resulting costs for manipulating your data within Salesforce, this product allows you to visualise your information, build workflows and apps, and power your agents.

    Sanja elaborates on the advantages of Data Cloud, explaining that every single system you have to describe a customer does so in a different way. The great thing about Data Cloud is that it ‘harmonises’ all of your tools and platforms, enabling them to speak the same language. This is essential as AI needs data to understand your business. Data Cloud’s Retrieval Augmented Generation (RAG) enables you to search through every single piece of data, allowing users to augment prompts effectively (and take action).

    To illustrate the power of unified data, Sanjna takes the live Saks demo a step further. Sanjna prompts ‘Sophie’ to retrieve policy data and fix a customer query in the matter of seconds, providing the customer with a refund after a discount was added to a product after purchase. This demonstrates that, with a few clear instructions, agents can retrieve the right data, and ground it in your prompt, easily creating a resolution and a response. Sophie is now empowered with all the data necessary to resolve the issue within a matter of seconds, where it would take a service agent hours of admin to sift through the policies. The best part? This is all done without training a single model.

    6. Use Cases for Agents: with Leah McGowen-Hare, SVP of the Trailblazer Community

    Senior VP of the Trailblazer Community, Leah McGowen-Hare closes out the speakers with snappy examples of use cases for Agentforce:

    • Slack: Humans and agents collaborating in a Slack channel to make swift, informed, data-driven decisions.
    • Marketing Cloud: Summarise what customers are saying from unstructured data. From this, agents can suggest actions from analytics, creating a campaign based on customer sentiment.
    • Service Cloud: All customer interactions and data can be summarised for the advisor in seconds, allowing agents and humans to work together to resolve cases.
    • Retail Cloud: In-store interactions enhanced and guided by Agentforce, giving customers a seamless multi-channel experience.

    These are just a number of the use cases that can be found in Salesforce’s new AI library, available to explore here!

    7. Key Announcements

    The Keynote concludes with two major announcements from Salesforce.

    Firstly, Marc Benioff announces the launch of Salesforce foundations: available for enterprise and above. This offering grants users automatic access to the key Salesforce products such as Sales, Service and Marketing. With this, customers can build out their 360 even further, ready to unlock the power of Agentforce across their organisations.

    The second key announcement is that an Agentforce World Tour is excitingly scheduled to take place this Autumn! Visit www.salesforce.com/agentforce/ for more information!

    Summary

    In summary Salesforce has declared a ‘hard pivot’ to autonomous AI. We are excited to see how these groundbreaking new technologies shape the future of work!

    As Patrick Stokes enthused, “if you can describe it, you can get Agentforce to do it”. It’s apparent that we haven’t even begun to scratch the surface of what Salesforce AI can do for our businesses.

    For a more in depth overview of Salesforce’s Agentforce offering, take a look at our article ‘The Dawn of Agentforce’. If you’re interested in learning how we can leverage Salesforce AI to save time and resources, give us a call on 01453 703230 or claim your free AI workshop below!