Welcome to the event

Welcome and event introduction

In ops consulting roles, I usually wind up with a bunch of cross dependent spreadsheets and other data sources - and spend hours jumping between them. But with Claude’s new superpowers even me as a non dev can finally create the apps I want, pulling all these sources into one smooth, powerful interactive interface

Transformational technologies do not automate. They augment. You can summon a car in three minutes. Filling one shift — a bartender, a retail assistant, a care worker — still takes days of job descriptions, applications and decisions. Six in ten UK hospitality businesses run understaffed as their normal state, and healthcare runs the same scramble at far higher stakes. Every uncovered shift is absorbed by the people already there, and that absorption has a price: businesses pay it in turnover, errors and lost custom; society pays it in burnout and ill health. Today that gap is closed by many parties across broken, overpriced channels. Able re-architects the system: the recruitment machine — job description, application, sometimes even interviews, repeated for every shift — is streamlined and run by multiple AI agents. A worker builds one verified profile / video bio, and manages thier availability, and from then on is offered shifts that fit: matched and booked in minutes. The matching is pseudonymised: the algorithm reads skill, availability and credentials, while name, photo, gender, nationality and postcode stay invisible to it. Pay rates are negotiable between worker and venue, the worker keeps all of it, and payment is held the moment a shift is offered and released the same day. A human makes the final call. The result is every role made easier. HR teams get faster, cleaner verification. Managers get a confident booking in place of a gamble. Workers stop reapplying for every shift, and because matching runs on semantic search it grows more accurate with each one. This is a 10X leap arriving in a $620bn market almost no one has built for. We are early revenue and awarded two accelerators this summer — the European Innovation Academy with Bayes Business School, then Cambridge University — with an AI Ethics Board chaired by Mindstone associate Joe Fennell. Come for the demo, and we'll show you what the end of understaffed looks like.

AI agents rewrote our entire backend - half a million lines of Go, no human writing a line. This is the honest story of how, including the moment I caught the AI cheating, and the real lesson: the AI can do almost anything, if you give it an unbluffable way to know when it's wrong.

Closing remarks and next steps

Casual networking with food and drinks