Agentforce World Tour London 2026: What the Agentic enerprise Means for Marketing, Data and the Future of Work

On Thursday June 18th 2026 Mark Wallman and I headed to London for Agentforce World Tour. The day presented a variety of interesting themes and in this blog I have summarised the key messages that stood out to me. 

AI agents are quickly moving from concept to reality, and Salesforce's Agentforce World Tour London 2026 made one thing clear: the next phase of AI adoption will be defined by how effectively organisations bring together people, data and intelligent agents.

At the centre of the event was the idea of the Agentic Enterprise. This is Salesforce's vision for a business where humans and AI agents work together to improve productivity, strengthen customer relationships and create more connected experiences. 

Rather than treating AI as a standalone tool, the Agentic Enterprise positions agents as part of the operating model. They can support customer conversations, assist employees, automate processes, accelerate development and help teams act on trusted data more effectively. 

For organisations already exploring AI: the opportunity is no longer just about experimenting with individual use cases. It is about building the foundations for AI agents to work safely, usefully and at scale.

From AI experimentation to enterprise adoption

A major theme throughout the event was the shift from AI experimentation to practical enterprise adoption.

Salesforce highlighted several ways agents can support different parts of the business:

• Customer agents can engage prospects and customers around the clock.
• Employee agents can help teams resolve cases, prepare faster and reduce repetitive work.
• Process agents can move work through operations more quickly.
• Development agents can help teams build and customise solutions in shorter timeframes.

One of the most notable points shared was the potential for AI agents to reduce back-office data entry by up to 80%. Beyond the headline figure, this reflects a wider opportunity: reducing the amount of time teams spend on manual administration and giving them more capacity for higher-value work. 

The value of agents is not simply that they automate tasks. Their real potential lies in supporting people with better context, faster action and fewer operational barriers.

Headless 360: agents across every surface

Another important concept was Headless 360, described by Salesforce as "any agent, any surface, any builder".

This signals a move away from AI agents being limited to a single interface. Instead, agents can work across the environments where teams already spend their time, including Salesforce, Slack and other connected applications or channels.

This matters for adoption. The most useful agents will be those that fit naturally into existing workflows, rather than adding another tool for teams to manage. When agents can operate in the flow of work, with the right data, permissions and governance in place, they become far more practical for day-to-day use.

Headless 360 also reinforces an important point: flexibility must be balanced with trust. For agents to support real business processes, they need to be grounded in secure access, governed data and clear controls. 

Marketing Cloud Next and the rise of agentic marketing

For marketing and revenue teams, one of the most significant areas of innovation was Marketing Cloud Next.

Salesforce introduced a range of B2B capabilities designed to support what it called agentic marketing. This is a move towards more responsive, conversational and personalised buyer engagement, supported by AI agents.

Traditional nurture journeys are often linear and one-way. They rely on fixed sequences, pre-planned content and delayed responses. Agentic marketing points to a more dynamic model, where agents can respond to buyer behaviour in real-time, answer questions, qualify leads and support conversations across multiple channels.

This has clear implications for B2B teams. Buyer journeys are rarely straightforward, and buying groups are often complex. By using agents to support engagement, marketers have an opportunity to create experiences that feel more relevant, timely and connected. 

More responsive lead nurture

One of the standout Marketing Cloud Next examples was agentic multichannel lead nurture.

Many organisations struggle with the same challenge: engaged leads can easily be lost in static nurture programmes. A prospect may show interest, visit key pages, engage with content or ask a specific question, yet still receive a generic follow-up that does not reflect their intent.

Agents can help make nurture's more responsive. They can support real-time marketing conversations, qualify leads and answer product questions autonomously. Salesforce also highlighted the potential to extend nurture's beyond email and web into channels such as SMS and WhatsApp. 

The result is a shift from one-way communication to more conversational engagement. For marketers, this creates an opportunity to move beyond simply sending more content and towards creating more useful interactions. 

Personalisation at scale

Personalisation remains a major priority for marketing teams, but it has often been difficult to deliver consistently at scale. 

Marketing Cloud Next showed how agents can support more advanced personalisation by drawing on data from sources such as Commerce Cloud, ERP systems, website behaviour, intent signals, and Sales Cloud buying group information.

This means messaging, content and imagery can be adapted based on a buyer's role, behaviour, interests and position within the wider buying group. Agents can help interpret these signals, recommend next steps and support the creation of more relevant content and journeys.

The opportunity is not personalisation for its own sake. It is about using data and context to make each interaction more useful to the buyer.

Faster campaign creation

Agentic campaign creation was another practical use case.

Salesforce demonstrated how Agentforce can support the creation of campaign briefs, draft email and SMS content, and help build end-to-end multichannel campaigns from a single prompt.

This has the potential to significantly reduce the time it takes to move from campaign idea to first draft. For marketers, that does not remove the need for strategy, creativity or quality control. Instead, it changes where teams begin.

Rather than starting with a blank page, marketers can start with a structured foundation and spend more time refining the idea, improving the message and ensuring the campaign is aligned to the audience and objectives.

Buying group identification and sales alignment

Another important B2B capability was agentic buying group identification.

Salesforce showed how agents can help identify key members of a buying group from email transcripts, monitor account-level behaviour and sentiment, and help marketers map relationships across an account.

This is particularly valuable in complex B2B environments, where decision-making usually involves multiple stakeholders. Buying groups can include champions, influencers, decision-makers, blockers and late-stage participants who are not always easy to identify.

By making these relationships more visible, agents can help marketing and sales teams work from a clearer shared view of the account. This can improve prioritisation, personalisation and the quality of sales engagement.

F1 and Agentforce: a practical use case

A strong example of Agentforce in action came from F1's AI journey.

F1 launched its first agent in eight weeks and has already supported more than 6,000 fan interactions. This use case helped demonstrate how agent adoption can move from concept to live engagement when there is a focused use case, a clear audience need and the right controls in place.

The session explored trusted agent design, Agentforce Builder, scripting, multi-agent orchestration, voice, channels and Agentforce Labs.

The key lesson was that organisations do not need to begin with a broad transformation programme. Starting with a defined use case can help teams build confidence, learn from real interactions and scale responsibly over time.  

Data 360: the foundation for trusted AI

While agents were the headline theme, Data 360 reinforced an essential point: AI is only as effective as the data behind it. 

Salesforce positioned Data 360 as a way to activate trusted data and context from multiple sources, enabling teams, systems and agents to deliver more personalised and measurable experiences.

The key requirements were clear: connected and modelled data, governance, real-time insight, metadata understanding and scalable activation. 

This matters because agents need trusted context to make useful decisions. Without accurate, connected and governed data, AI may move quickly, but it will not necessarily move in the right direction. 

For any organisation looking to adopt agents at scale, data strategy cannot be treated as a separate workstream. It is the foundation that determines how effective, safe and valuable those agents can become.

The human side of AI adoption

Beyond the product updates and technical sessions, the event also explored the people side of AI.

The Women in Tech panel covered career growth, leadership, personal brand, managing ambition and burnout, and the impact of AI on the future of roles within the Salesforce ecosystem. 

The discussion raised important questions. How is AI already changing day-to-day work? Which skills will become more important? How can professionals build confidence in an AI-enabled environment?

These conversations are essential because AI transformation is not only a technology shift. It is also a skills and culture shift. Organisations need to think not only about what agents can do, but how people will work with them effectively. 

Human judgement still matters

The session with Michael McIntyre provided a useful reminder that, even in an AI-enabled world, human skills remain central.

His reflections on empathy, observation, timing and humour highlighted the importance of understanding people and reading context. These skills are just as relevant in business as they are on stage.

Technology can help teams move faster, automate work and surface insight. But judgement, creativity, communication and empathy remain essential to building trust and creating meaningful experiences. 

The future of work may be more agentic, but it will still depend heavily on human capability.

Final thoughts

Agentforce World Tour London 2026 made a clear case for AI agents becoming a practical part of the enterprise operating model.

For marketing and revenue teams, the potential is significant: more responsive nurture, faster campaign creation, better personalisation, stronger buying group insight and improved alignment with sales.

For the wider business, agents offer opportunities to reduce manual effort, improve productivity, connect processes and help teams act more effectively on trusted data. 

However, successful adoption will depend on more than enabling new AI capabilities. Organisations will need strong data foundations, clear governance, well-defined use cases and teams that understand how to work alongside agents. 

The Agentic Enterprise is not simply about introducing more automation. It is about creating a model where humans and agents can work together effectively, supported by trusted data and guided by human judgement. 

Want to explore what this means for your organisation?

If you have any questions about the content covered, or want to explore how these themes apply to your environment, get in touch with the Clevertouch team now.

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