02What we work on
Useful outcomes.
Sound foundations.
01Strategy & priorities
Look at the work, the information it relies on and the cost of doing it today. Assess opportunities against commercial value, effort, risk and your team’s capacity.
What you leave withA prioritised roadmap, a defined first use case and measures of success.
02Governance & ownership
Agree which tools and uses are appropriate, what data can be used, who owns decisions and when a person needs to review the result. Make those expectations usable in daily work.
What you leave withPractical guidance, clear ownership and a review process.
03Implementation & adoption
I design, build and test workflows and AI assistants with your team. Training, feedback and handover are part of delivery, with specialist support agreed where needed.
What you leave withA tested solution, clear handover and a team ready to use it.
The scope follows the problem. Where a simpler process change or automation is the better answer, that is what I recommend.
What that looks like in practice.
Examples of work you can commission, shaped around your systems and priorities.
Internal knowledge assistants
Policies and guidance are hard to find.
What you getAn assistant using approved documents, with source references, access checks and a route to a person.
Document workflows
Teams recreate the same briefs and documents.
What you getA drafting workflow using agreed templates and source material, with a human review step.
Reporting & approvals
Information is copied between spreadsheets, inboxes and systems.
What you getAn automated reporting or approval workflow, with checks, exception handling and a named owner.
Governed AI rollout
AI use is growing faster than the business’s guidance.
What you getApproved-use rules, clear ownership, practical training and a regular process for review.