AI for Good
Eliot Fisher’s photograph of a rocky coast on a clear day

Approach

From a problem to a working solution.

No need to arrive with a specification. We start with what you’re trying to do and what keeps getting in the way.

Eliot Fisher’s photograph of a creek beneath overhanging trees

How we’ll work together

Four steps, start to finish.

Step 1 of 4

Understand the problem

Start with how the work happens now. We walk through the current process: who does what, where information comes from, and where time goes. You bring the context. I ask questions and help find the friction.

Step 2 of 4

Choose a sensible starting point

Weigh the gain against the upkeep. We compare a small improvement with the effort, cost, and upkeep it would take. That may mean better use of a tool you already have, a simple connection, or a custom build. We agree on scope and cost before project work begins.

Step 3 of 4

Build, check, and refine

Test it on real examples. We test the result against real examples and review it together. Where AI helps, we decide what people need to check and make the source of important information clear.

Step 4 of 4

Make it work for your team

Hand over something you can keep using. The handoff includes usable files, clear instructions, and an agreed support plan. Training focuses on the actual tasks your team needs to do.

Eliot Fisher’s photograph of a bay in winter

Your first 30 minutes

One task,
one useful next step.

Bring one task you want to improve, what you’ve tried, and what a useful result would look like. We’ll explore whether I can help and identify a sensible next step. You don’t need to prepare a presentation or share confidential documents.

Book a free 30-minute consultation