Services

My work connects business priorities with the engineering and organizational changes needed to put AI into practice.

From opportunity to adoption

The process starts with a specific business problem. Testing and feedback shape what we build, and demonstrated value guides where to take it next.

1

AI foundations

2–3 weeks

An honest audit of your org's data, infrastructure, and current usage patterns, delivered as a gap analysis and a use-case roadmap prioritized by impact and feasibility. You'll know exactly where AI can move the needle and what's standing in the way.

2

Build the v0

1–2 weeks

I build a first working version of an AI system to support the chosen workflow, with a narrow scope and clear success criteria. This gives the team something concrete to try and a baseline for improvement.

3

Collect feedback and iterate

4–8 weeks

The people closest to the work test the AI system on real tasks. I use their feedback and results against our success criteria to improve its usefulness and reliability, then prepare it for production.

4

Deploy & monitor

Ongoing

We deploy the solution to production and help the team incorporate it into daily work, with monitoring, human review, and safeguards appropriate to the business. I support the people using and maintaining it, then make improvements as needs evolve and results become clear.

Not sure where to start?

A short conversation is usually enough to identify where AI could make a meaningful difference in your day-to-day work.

Get in touch