Services / Discovery

Know where to start before you start.

A structured discovery process that maps where AI will help your organisation, where it won't, and what to do first.

What it is

Discovery is for organisations that know they should be doing something about AI but aren't sure what. It's a structured engagement to work out the highest-value places to start, the risks to watch, and what a sensible first step looks like.

A typical Discovery runs over four to six weeks and combines four parallel streams of work. You leave with a leadership playback, a prioritised list of opportunities, and enough confidence to act on one of them.

What's involved

Internal review and insight gathering

We start with the current reality of your organisation. A Tech Stack Review uncovers AI features already sitting inside the tools you've paid for. An 'AI Amnesty' survey lets staff tell us, without judgment, which AI tools they're already using. Employee Experience Walkthroughs let us shadow people doing real work to see where the friction actually is.

Leadership alignment workshops

Executive sessions to land on a shared language for AI: what the terms mean, what the risk appetite is, who's accountable for what. The output is a clear strategic intent and an internal communication plan everyone can stand behind.

Staff engagement: the Intern Lens

A workshop format we run with frontline staff. We ask them to identify the parts of their job that make them feel 'least human': the repetitive, low-judgment work that AI can lift off them. It's how we surface use cases the leadership team can't see, and build momentum with the people who'll have to use what gets built.

Synthesis and strategic playback

The findings get pulled into a single leadership session. We map the quick fixes, surface the bigger opportunities, and deliver a roadmap your board can read. You leave with a prioritised list of three to five things worth acting on next.

Why clients choose us

  • We ask questions before we give answers. A lot of AI advice is generic because the advisor didn't do the work to understand the organisation. We do the work.
  • We use frames that make the work concrete. The Intern Lens, AI Amnesty, and Tech Stack Review aren't gimmicks. They're how we get useful answers out of busy people in limited time.
  • We say no as well as yes. If we think AI is the wrong answer for a given problem, we'll say so.

A recent example

A national not-for-profit engaged us for a five-week Discovery. We interviewed 14 people across their leadership and operations teams, mapped 22 potential AI use cases, and narrowed them down to three worth acting on in the next 12 months. They approved the recommendations in a single board meeting.

Next step

Unsure where AI fits in your organisation?

That's what Discovery is for. Tell us a bit about where you're at and we'll talk through whether it's the right fit.

Let's talk