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The full aiblLIVE London 2026 agenda

The same agenda as the grid above, in plain text. Easier to scan, search and print. This is the agenda for aiblLIVE London 2026, our one-day event on practical AI adoption in London on Tuesday 20 October. Book your delegate pass, or browse vetted delivery partners in the AI Enablement Directory.

Across the day

8.00-9.00 Registration and Networking
8.00-18.30 Discovery Zone
9.00-17.00 Expert Bars
13.00-14.00 Lunch and Networking
17.00-18.00 Drinks, deals and demos

Your pass is the whole event, and you are not tied to one track. The five tracks group the sessions by theme, but you can move freely between all of them and every format across the day and build your own schedule.

The five tracks

Growth Sales, Marketing & RevOps. Stage sponsor Quantcast.
Workforce Capabilities, Culture & Change.
Customer Experience, Service, Success & Retention.
Efficiency Automation, Agents & Workflows. Stage sponsor monday.com.
AI Infrastructure Tech, Data & Cybersecurity.

Growth track

Sales, Marketing & RevOps. Stage sponsor Quantcast. 14 sessions. Full track detail on the growth track page.

9.20-9.40 – The race to zero UI: how AI search is rewriting brand visibility – Tracey Pilon – Microsoft – Case study
9.45-10.05 – Six teams, thirteen operating models: fix the process before the AI – Anca Pintilie – JP Morgan Chase – Case study
10.10-10.30 – Gong x Terrapinn: From AI Strategy to Revenue Impact – Asghar Maqsood & Samantha Stephens – Terrapinn – Case study
10.35-10.55 – When gut feel meets AI: how AI sharpened Oddbox’s creative work – Gaston Tourn – Oddbox – Case study
11.25-12.10 – From Idea to Working App: A Replit Workshop – Nik Biridzhyan – Replit – Workshop
12.15-12.35 – Beyond Assumptions & Silos: The Performance Marketing Reset – Alex Mills – Quantcast – Case study
12.40-13.00 – Dojo AI – Luke Costley-White – Dojo – Case study
14.00-14.20 – AI Transformation for Performance Creative Teams – Zaeem Bhanji – Yolodex – Case study
14.25-14.45 – From whiteboard to live campaign: unifying a siloed marketing stack – Alex Croker – Imagino – Case study
14.50-15.10 – Putting AI Agents to Work Across Your GTM Workflows – Dave Brown – Outreach – Live demo
15.15-15.35 – Napster: turning fans into buyers at the Formula One, Belgian Grand Prix – Patrick Conway – Napster – Case study
15.40-16.00 – Digital Catapult: session to be announced – Jimmy Jarvis – Digital Catapult – Case study
16.05-16.25 – The pizza pilot: testing AI against traditional market research at Nomad Foods – Joe Clark – Nomad Foods – Case study
16.30-16.50 – How to build a brand AI will recommend – Alex Myers – Manifest – Case study

Workforce track

Capabilities, Culture & Change. 12 sessions. Full track detail on the workforce track page.

9.20-9.40 – From hope strategy to a culture of AI fluency across a global business – Kerri O’Neill – Ipsos – Case study
9.45-10.05 – Top down and bottom up at once: building an AI operating model at Somerset Bridge – Ceri Sharples & Katherine Hawkins-Jones – Somerset Bridge Group – Case study
10.10-10.30 – Driving AI adoption across 65,000 people without a mandate – Patrik Hedljung – Scania – Case study
10.35-10.55 – What changed when 94% of YuLife started using Claude weekly – Jonathan Roomer & Giles Boon-Williams – YuLife – Case study
11.25-12.10 – Don’t Build Another AI Agent – Harry Hobbs – Baltic Augment – Workshop
12.15-12.35 – Moving from AI investment to AI impact: Why workforce capability is the missing link in AI adoption – Holly Chate – FutureDotNow – Case study
12.40-13.00 – While AI is successfully helping cities measure their emissions, finding ways to adopt this internally is much more of a journey. – Christina Lewis – C40 Cities – Case study
14.00-14.45 – From AI Experimentation to Organisational Confidence: Lessons from the BCC AI Academy – Anne Kuhsiek & Jenny Hemsley – British Chambers of Commerce – Workshop
14.50-15.10 – From AI adoption to organisational advantage – Dr Laura Weis – WPP – Case study
15.15-15.35 – Beyond the forecast: why AI adoption at the Met Office was a change management problem – Prof Kirstine Dale – Met Office – Case study
15.40-16.00 – Building responsible AI at the British Red Cross: governance, training and real use cases – Simon Hodgkinson – British Red Cross – Case study
16.05-16.50 – SKAI Programme: What works for AI upskilling in the UK – Prof Nisreen Ameen – Henley Business School – Workshop

Customer track

Experience, Service, Success & Retention. 11 sessions. Full track detail on the customer track page.

9.20-9.40 – Built While We Sold: How Salesforce’s Own GTM Teams Adopted AI – Avril Couper & Conor Gleeson – Salesforce – Case study
9.45-10.05 – AI in customer experience with Experian – Yao Li – Experian – Case study
10.10-10.30 – Beyond deflection: building an AI agent that improved customer retention – Vik Lakhotia – Marshmallow – Case study
10.35-10.55 – Building the ‘Netflix’ of Wellbeing at The Retail Trust – Poppie Foakes & Tim Walpole – Retail Trust – Case study
11.25-12.10 – Kaltura workshop: AI for customer experience – SPEAKER TO BE ANNOUNCED – Kaltura – Workshop
12.15-12.35 – An agent that builds agents: Ghostwriter live – Rebecca Okin – Sierra – Live demo
12.40-13.00 – From Prompt to Performance: AI-Powered Advertising Workflows with Ivy Studio – Andy Lowrey – StackAdapt – Case study
14.00-14.45 – Beyond the Demo: Building and governing a Customer Service AI Agent, Live – Umang Shah – Kore AI – Workshop
14.50-15.10 – Reimagining candidate and customer experience with AI at SHL – Jag Tucker – SHL – Case study
15.15-15.35 – Writing for the machine: how Thames Water rebuilt its knowledge base for AI – Janette Pincott & Toni Jarvis – Thames Water – Case study
15.40-16.00 – Presence Is Not Proof: Adding AI Validation Before Automated Claims Decisions – Promise Akwaowo – Royal Mail – Case study

Efficiency track

Automation, Agents & Workflows. Stage sponsor monday.com. 12 sessions. Full track detail on the efficiency track page.

9.20-9.40 – The second attempt. Rebuilding an AI rollout after the first one failed. – Sharon Roessen – Terrapinn – Case study
9.45-10.05 – What Copilot actually costs: building a usage model at Mintel – Samantha Stannard – Mintel – Case study
10.10-10.30 – Two weeks to ten minutes: the research workflow Bidwells built – Ben Lee – Bidwells – Case study
10.35-10.55 – What businesses tell us about AI adoption, and how that reaches government – Ben Martin – British Chambers of Commerce – Case study
11.25-12.10 – How to give 30% of your job to AI – James Ferrier & Luis Clark – monday.com – Workshop
12.15-12.35 – Process first, tools second: making AI pay at Babel PR – Inna Bondarenko – Kalei Labs – Case study
12.40-13.00 – Learning AI in the Flow of Work: An IVEE Live Demo – Amelia Miller – ivee – Live demo
14.00-14.45 – From Idea to Working App: A Replit Workshop – Nik Biridzhyan – Replit – Workshop
14.50-15.10 – How to access government funding to upskill your workforce in AI – Ben Rowland – AELP – Case study
15.15-15.35 – The trick is being lazy: how I built my own AI knowledge base – Beth Ayers – Metomic – Case study
15.40-16.00 – Becoming the AI freight forwarder: automating the workflow, not the headcount – Josh Clement-Sutcliffe – Zencargo – Case study
16.05-16.50 – Build Your First AI Agent in 45 Minutes with Microsoft Copilot – Alison Wright & Ashley Jeggo – Microsoft – Workshop

AI Infrastructure track

Tech, Data & Cybersecurity. 12 sessions. Full track detail on the ai infrastructure track page.

9.20-9.40 – Keeping AI grounded: the quality controls behind The Economist Group’s AI processes – Fionn O’Raghallaigh – The Economist Group – Case study
9.45-10.05 – Keeping it simple: consolidating Data & AI infrastructure – Richard Masters – Virgin Atlantic – Case study
10.10-10.30 – How AI changed the face of our field operations – David Tomalin – CityFibre – Case study
10.35-10.55 – Build or Buy: Balancing short term impact with long term commercial transformation – Andrew Webber – END. – Case study
11.25-12.10 – AI Transformation with Notion: Build the Context for AI to Succeed – Laura Gregg & Tashan Dunbar – Notion – Workshop
12.15-12.35 – The Rise of Wild Code – Lynn Olame – Tines – Case study
12.40-13.00 – But my organisation wasn’t built for AI! – Andy Haley – Sullivan & Stanley – Case study
14.00-14.45 – From Idea to AI Command Center: Build with Dust – Gianna Gard – Dust – Workshop
14.50-15.10 – The unglamorous half of AI: data, CRM and governance at Battersea Power Station – Alton Hassan – Battersea Power Station – Case study
15.15-15.35 – From zero to scale: how Engie turned GenAI licences into real adoption – Rémi Hottois – Mendo – Case study
15.40-16.00 – Building a company brain: a mid-market case study – Toby Mather – Rig – Case study
16.05-16.50 – Google Gemini Workshop – Oliver Given – Google Gemini – Workshop

Boardroom roundtables

Four closed-door, one-hour roundtables. See every workshop and boardroom roundtable in detail. Places are limited and allocated on request.

9.30-10.30 – Beyond support: agents that improve CX and drive revenue – Gareth Worsnup & Rebecca Okin – Sierra – Boardroom roundtable
10.45-11.45 – The Revenue AI Reality Check – Laura Gracey – Gong – Boardroom roundtable
12.00-13.00 – Everyone’s had the training. Nobody’s changed how they work. – Andy Lambert – AcademyAI – Boardroom roundtable
14.00-15.00 – AI in the Boardroom: you don’t need an AI strategy, you need a strategy for the world created by AI – Alice Breeden – Boardroom roundtable

Event partners

Snapsight is our AI Insights Partner, capturing and sharing the key takeaways from across the day. Boardy is our AI Networking Partner, the AI super connector making warm introductions before, during and after the event.

Discovery Zone

Demo Pods, Startup Tables and Expert Bars, open throughout the day (8.00-18.30). Try the tools, meet the teams and book a one-to-one with a specialist.

Demo Pods

Quantcast
imagino
Tines
Kore.ai
Sullivan and Stanley
Gong
Aircall
Q5
monday.com
Mendo
Outreach

Startup Table

Academy AI
yolodex

Expert Bars

Book a 20-minute one-to-one. Bring the problem you are stuck on.

Atherio
Quanta Intelligence
Arqvera
100 School
Mind over Tech
Atheni

Ecosystem partners

Supporting organisations and networks.

Enterprise Nation
Business AI Alliance
Potato
British Chambers of Commerce
AELP
Global Tech Advocates
IoD
Digital Catapult

Frequently asked questions

When and where is aiblLIVE London 2026?

Tuesday 20 October 2026 at Convene Sancroft, Rose Street, Paternoster Square, London EC4M 7DQ. Doors open at 08.00 and the day closes at 18.30. Registration and networking run from 08.00 to 09.00, and the day ends with drinks, deals and demos from 17.00.

How many sessions are there and how are they organised?

There are 61 sessions across five tracks: Growth, Workforce, Customer, Efficiency and AI Infrastructure, plus four closed-door, one-hour boardroom roundtables. The track sessions run in two formats: 49 case studies and live demos, and 12 workshops.

Can I move between tracks during the day?

Yes. Tracks are not ticketed separately, so a single pass covers all five. The interactive agenda above shows every session by start time, so you can spot clashes and plan a route across tracks before the day. Boardroom roundtables are the exception and need to be requested.

What are the boardroom roundtables and how do I get a place?

There are four closed-door roundtables, each running for one hour under the Chatham House rule. Seats are limited and by invitation, so request one when you register. Boardrooms are the only sessions that need booking: workshops and everything else are first come, first seated.

Do I need to book a workshop?

No. All twelve workshops are open to any delegate on the day, first come, first seated. Only the boardroom roundtables need booking, because they are by invitation.

Some sessions say speaker to be announced. When will they be confirmed?

Six sessions are confirmed by subject but not yet by speaker, and are marked as such in the grid. They are being filled as speakers confirm. This page updates in place, so it always shows the current programme.

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