Name: aiblLIVE London
Start: 2026-10-20T08:00:00+01:00
End: 2026-10-20T18:00:00+01:00
Location: Convene Sancroft

Question 1

What is aiblLIVE London 2026?

Accepted Answer

aiblLIVE London 2026 is the UK's flagship AI adoption event for business leaders, taking place at Convene Sancroft, London EC4M 7DQ on 20 October 2026. It brings together 1,000+ delegates across the five aibl pillars: Growth, Workforce, Efficiency, Customer, and AI Infrastructure. 77.5% of attendees are at C-suite or senior leadership level.

Question 2

When and where is aiblLIVE London 2026?

Accepted Answer

aiblLIVE London 2026 takes place on 20 October 2026 at Convene Sancroft, Rose Street, Paternoster Square, London EC4M 7DQ.

Question 3

Who attends aiblLIVE London?

Accepted Answer

1,000+ delegates from UK mid-market and scale-up organisations. 77.5% are at C-suite or senior leadership level, and 82.5% attend in response to a board-level AI mandate.

Question 4

What is the ticket price for aiblLIVE London 2026?

Accepted Answer

The launch price is £399 per delegate, available until 30 June 2026. See live.aiblmedia.com/e/london26/content/tickets-and-pricing for full options.

Question 5

What tracks are available at aiblLIVE London 2026?

Accepted Answer

Five content tracks aligned to the aibl pillars: Growth, Workforce, Efficiency, Customer, and AI Infrastructure.

Question 6

Can I attend sessions from more than one track?

Accepted Answer

Yes. Delegates can move between tracks throughout the day.

Question 7

How is aiblLIVE London different from other AI events?

Accepted Answer

aiblLIVE London is purpose-built for business leaders implementing AI, not a technology showcase. 82.5% of attendees have a board-level AI mandate, and the programme is organised around the five aibl pillars of practical AI adoption.

Question 8

What is the refund policy for aiblLIVE London 2026?

Accepted Answer

Refund and cancellation terms are detailed on the tickets and pricing page at live.aiblmedia.com/e/london26/content/tickets-and-pricing.

Gianna Gard

Dust

AI Deployment Strategist

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