Before we meet

Help us tailor your discovery session.

Three short sections on how AI is changing your people, your processes, and your operations. Rate the relevance, then tell us what's actually going on. We use this to shape the agenda and bring the right people.

7 minutes15 ratings, 5 short answers

About you

So we know where to send the agenda.

Full nameCompanyWork email

Context

Where you are right now

Two questions before we get into the scoring. These are the things we most often have to guess at - so a sentence or two here saves us both time later.

What have you already tried with AI - and what happened?Pilots, vendors, internal builds. The wins, the dead ends, the things still running.Who else is involved in decisions about AI investment in your organisation?Names and roles. Helps us know who needs to be in the room.

Section 01

How your people work

How AI is changing what your teams actually do day-to-day.

Area

Low relevanceHigh relevance

01Reducing manual, repetitive work through AI assistance

02Giving teams real-time access to the information they need to make decisions

03Changing how roles and workflows are structured around AI

04Increasing the speed at which people can develop and ship new capabilities

05Building AI literacy and confidence across the organisation

Your takeWhere is AI already changing how your people work - and where is it stalling?

Section 02

Your business processes

What you do, end-to-end, and where AI rewrites the workflow itself.

Area

Low relevanceHigh relevance

06Redesigning core business processes end-to-end around AI

07Replacing legacy workflows that AI has made obsolete

08Improving reliability and consistency of process outcomes

09Integrating AI into customer-facing or revenue-generating processes

10Reducing process cost without reducing output quality

Your takeWhich process would have the highest impact if it ran differently - and what's stopped you from changing it?

Section 03

Running operations autonomously

Moving from pilots to production, and keeping AI systems alive.

Area

Low relevanceHigh relevance

11Getting AI systems from pilot into production reliably

12Building or buying the ops capability to run AI systems long-term

13Reducing the manual intervention required to keep systems running

14Establishing who owns AI systems once they ship

15Measuring whether AI in production is actually delivering value

Your takeWhat does "running autonomously" mean for your organisation - and how far away does that feel?

0 of 15 areas rated