London Enterprise AI and Automation Summit 2027

Beat the rush and join us early for complimentary barista-made coffee and breakfast.

Hear how the UK Sovereign AI Fund is reshaping the enterprise innovation landscape by strengthening homegrown AI capability and changing how British organisations think about developing, adopting and scaling strategic AI technologies.

• How the Sovereign AI Fund is accelerating British innovation through direct investment, public compute access and support designed to help AI companies scale in the UK.
• What this means for enterprises looking to partner with, procure from or build alongside a stronger domestic AI ecosystem.
• Why sovereign capability is becoming a strategic issue for enterprise leaders focused on resilience, competitiveness, talent and long-term control over AI-enabled growth.

This keynote will explore how international enterprises can design AI programs for global use, rolling them out across markets in a way that balances consistency, local relevance and trust.

• What it takes to create trust in global AI adoption, especially when users, regulators and customers have different expectations.
• How to design rollout models that support understanding, training and change management across diverse teams and regions.
• Why international AI success depends as much on communication and adaptability as it does on the technology itself.

This panel will examine why so many AI initiatives stall after the pilot stage, and what enterprises need to get right in data, governance, operating model and talent to turn promising experiments into durable production capability.

• What changes when AI moves from sandbox to scale, from proof-of-concept enthusiasm to production-grade reliability, support and accountability.
• How resource gaps differ between large enterprises and organisations early in their AI journey, and what each group can realistically prioritise next.
• Where leaders should invest first when budgets, skills and internal support are uneven, so progress does not depend on a handful of AI champions.

Learn insights on building customer trust in AI by making transparency, accountability and clear value central to every step of the rollout.

• How to identify the biggest trust barriers, from privacy concerns and uncertainty to fear of poor outcomes or hidden automation.
• What communication and experience design choices help customers understand when AI was being used and what it means for them.
• How governance, human oversight and clear escalation paths make the AI feel safer and more reliable in practice.

A hands-on, interactive session working through a real enterprise AI scenario as a room. Details announced soon.

Learn how simplifying a crowded AI tool landscape, reduces duplication and confusion, and creates clearer ways of working that made teams faster and more effective.

• How organisations can identify overlapping platforms, duplicated workflows and hidden waste across its AI and automation stack.
• The practical steps needed to rationalise tools, streamline ownership and reduce confusion for business and technology teams.
• What metrics and operating changes prove the simplification is working, from lower costs to better adoption and clearer accountability.

Explore how to introduce AI in a way that reduced friction, accelerate creative work and improve decision-making, while still keeping people in control of the outcomes.

• How to identify which parts of the workflow AI should support, and which decisions needed to stay human-led to protect autonomy.
• What practical steps help employees trust AI as a collaborator rather than a replacement for judgment, creativity or expertise.
• How to use AI to remove repetitive work and unlock more creative, strategic thinking without overwhelming teams with automation.

This panel will explore how organisations can bring employees, executives and customers along the AI journey by aligning communication, trust, training and leadership at every stage of adoption.

• How to build executive confidence in AI programs so leaders champion change.
• What employees need to hear, learn and experience for AI adoption to feel useful, safe and relevant to their day-to-day work.
• How to manage customer expectations when AI changes service, decisioning or engagement models, without damaging trust.
• The change management practices that help AI programs stick, from clear ownership and phased rollout to feedback loops and measurable adoption.

Small-group, discussion-based sessions where you'll work through real enterprise AI challenges with peers in similar roles. Roundtable topics will be announced soon.

Put your knowledge to the test in this fast-paced quiz covering real-world trivia, key concepts, and emerging trends. Compete for bragging rights — and a voucher — as the top scorer takes the crown.

Learn how one organisation introduced AI into a sector that was slow to change, overcoming resistance by proving value, building trust and adapting the rollout to the realities of the industry.

• How to identify the specific sources of resistance, from legacy processes and risk concerns to fear of job impact and loss of control.
• What practical steps make AI relevant in a sector that had strong habits, long-standing workflows and low appetite for disruption.
• How using early wins, clear governance and stakeholder alignment show AI could improve productivity without creating chaos.

Explore why attention has become the scarcest resource in the AI era, and how enterprises can use technology to reduce distraction, create focus and deliver more meaningful experiences for employees and customers.

• Why AI makes both intelligence and distraction more abundant, and why attention now matters more than raw information or output.
• How leaders can design work, communication and digital experiences that protect focus instead of competing for it.
• What it means to use AI to serve people more effectively, with technology that creates relevance, trust and better decision-making.

This interactive Think Tank will explore how organisations can reduce fear around AI by addressing employee concerns about replacement and customer resistance to change through trust, communication and practical adoption strategies.

• Why AI anxiety starts with uncertainty, and how leaders can respond to job fears with clarity about roles, skills and the human value that still matters.
• What messaging and engagement approaches help customers feel informed rather than overwhelmed when AI changes how products, services or decisions are delivered.
• How to create safe, useful first experiences that build confidence for both employees and customers instead of forcing adoption too quickly.
• What leaders can learn from organisations that have turned hesitation into momentum by pairing transparency, training and visible early wins.

Unwind with your peers for a couple of drinks on us!

Beat the rush and join us early for complimentary barista-made coffee and breakfast.

Hear how the UK Sovereign AI Fund is reshaping the enterprise innovation landscape by strengthening homegrown AI capability and changing how British organisations think about developing, adopting and scaling strategic AI technologies.

• How the Sovereign AI Fund is accelerating British innovation through direct investment, public compute access and support designed to help AI companies scale in the UK.
• What this means for enterprises looking to partner with, procure from or build alongside a stronger domestic AI ecosystem.
• Why sovereign capability is becoming a strategic issue for enterprise leaders focused on resilience, competitiveness, talent and long-term control over AI-enabled growth.

This keynote will explore how international enterprises can design AI programs for global use, rolling them out across markets in a way that balances consistency, local relevance and trust.

• What it takes to create trust in global AI adoption, especially when users, regulators and customers have different expectations.
• How to design rollout models that support understanding, training and change management across diverse teams and regions.
• Why international AI success depends as much on communication and adaptability as it does on the technology itself.

This panel will examine why so many AI initiatives stall after the pilot stage, and what enterprises need to get right in data, governance, operating model and talent to turn promising experiments into durable production capability.

• What changes when AI moves from sandbox to scale, from proof-of-concept enthusiasm to production-grade reliability, support and accountability.
• How resource gaps differ between large enterprises and organisations early in their AI journey, and what each group can realistically prioritise next.
• Where leaders should invest first when budgets, skills and internal support are uneven, so progress does not depend on a handful of AI champions.

Learn insights on building customer trust in AI by making transparency, accountability and clear value central to every step of the rollout.

• How to identify the biggest trust barriers, from privacy concerns and uncertainty to fear of poor outcomes or hidden automation.
• What communication and experience design choices help customers understand when AI was being used and what it means for them.
• How governance, human oversight and clear escalation paths make the AI feel safer and more reliable in practice.

A hands-on, interactive session working through a real enterprise AI scenario as a room. Details announced soon.

Learn how simplifying a crowded AI tool landscape, reduces duplication and confusion, and creates clearer ways of working that made teams faster and more effective.

• How organisations can identify overlapping platforms, duplicated workflows and hidden waste across its AI and automation stack.
• The practical steps needed to rationalise tools, streamline ownership and reduce confusion for business and technology teams.
• What metrics and operating changes prove the simplification is working, from lower costs to better adoption and clearer accountability.

Explore how to introduce AI in a way that reduced friction, accelerate creative work and improve decision-making, while still keeping people in control of the outcomes.

• How to identify which parts of the workflow AI should support, and which decisions needed to stay human-led to protect autonomy.
• What practical steps help employees trust AI as a collaborator rather than a replacement for judgment, creativity or expertise.
• How to use AI to remove repetitive work and unlock more creative, strategic thinking without overwhelming teams with automation.

This panel will explore how organisations can bring employees, executives and customers along the AI journey by aligning communication, trust, training and leadership at every stage of adoption.

• How to build executive confidence in AI programs so leaders champion change.
• What employees need to hear, learn and experience for AI adoption to feel useful, safe and relevant to their day-to-day work.
• How to manage customer expectations when AI changes service, decisioning or engagement models, without damaging trust.
• The change management practices that help AI programs stick, from clear ownership and phased rollout to feedback loops and measurable adoption.

Small-group, discussion-based sessions where you'll work through real enterprise AI challenges with peers in similar roles. Roundtable topics will be announced soon.

Put your knowledge to the test in this fast-paced quiz covering real-world trivia, key concepts, and emerging trends. Compete for bragging rights — and a voucher — as the top scorer takes the crown.

Learn how one organisation introduced AI into a sector that was slow to change, overcoming resistance by proving value, building trust and adapting the rollout to the realities of the industry.

• How to identify the specific sources of resistance, from legacy processes and risk concerns to fear of job impact and loss of control.
• What practical steps make AI relevant in a sector that had strong habits, long-standing workflows and low appetite for disruption.
• How using early wins, clear governance and stakeholder alignment show AI could improve productivity without creating chaos.

Explore why attention has become the scarcest resource in the AI era, and how enterprises can use technology to reduce distraction, create focus and deliver more meaningful experiences for employees and customers.

• Why AI makes both intelligence and distraction more abundant, and why attention now matters more than raw information or output.
• How leaders can design work, communication and digital experiences that protect focus instead of competing for it.
• What it means to use AI to serve people more effectively, with technology that creates relevance, trust and better decision-making.

This interactive Think Tank will explore how organisations can reduce fear around AI by addressing employee concerns about replacement and customer resistance to change through trust, communication and practical adoption strategies.

• Why AI anxiety starts with uncertainty, and how leaders can respond to job fears with clarity about roles, skills and the human value that still matters.
• What messaging and engagement approaches help customers feel informed rather than overwhelmed when AI changes how products, services or decisions are delivered.
• How to create safe, useful first experiences that build confidence for both employees and customers instead of forcing adoption too quickly.
• What leaders can learn from organisations that have turned hesitation into momentum by pairing transparency, training and visible early wins.

Unwind with your peers for a couple of drinks on us!