AI Associate
AI that earns its place.
I help organisations find where AI will save real time and money, prove it with a small pilot, and put it into everyday use safely. Sometimes the answer is a simpler fix, and I'll tell you so.
Where AI usually pays back first
The best opportunities are rarely glamorous. They are the repeated jobs that eat hours every week.
Reporting
Turning survey, form or spreadsheet data into finished, personalised reports.
Data entry and handovers
Moving information between systems without anyone retyping it.
Enquiries and inboxes
Sorting, summarising and drafting replies for a person to check and send.
Documents and knowledge
Finding answers in policies, contracts and past work, with sources shown.
How I work
Five stages, from first look to handover.
Audit and opportunity
I map your workflows, the repeated manual tasks, data entry, handovers and bottlenecks, to see where time and money are lost. Then I check whether each problem needs AI at all, or whether a simpler software or process change would do the job better.
You get: a workflow map and an estimate of hours saved, errors reduced or costs recovered for each opportunity.
Strategy and design
A phased roadmap that puts quick wins ahead of big system overhauls. I choose the right models, APIs and automation tools rather than building everything from scratch, and design a small, low-risk pilot to prove the idea before you commit the full budget.
You get: a roadmap, a technology recommendation and a pilot plan with success measures.
Data, risk and compliance
I check that your data is clean, structured and yours to use. I make sure public models don't train on your company data, set up human sign-off for consequential outputs, and keep the work aligned with UK GDPR and government guidance on responsible AI.
You get: a data-readiness check and a short risk register for each system.
Build and oversight
I build and configure the system myself, or manage the development partner who does. Either way it comes with audit trails, source checking and safeguards against the model making things up.
You get: a working system with controls you can see and test.
Training and handover
I train your staff to use the new tools and help bring sceptical colleagues with you. Then I hand the system cleanly to your own IT team so you can run it without me.
You get: trained people, documentation and a clean handover.
The place to start
AI opportunity audit
A fixed-price review of how your team works, ending with a clear answer on where AI will help, where it won't, and what to try first.
Ask about the audit- Workflow map of the areas we agree
- Shortlist of opportunities, with estimated savings
- Honest notes on what doesn't need AI
- A recommended first pilot
- Data and risk notes for each option
Common questions
Will our data be used to train AI models?
No. I only use services and settings that keep your data out of model training, and I check this before anything goes live.
Do we need clean data before we start?
No. Part of the audit is finding out how ready your data is, and what it would take to get it there.
Are you tied to a particular AI company?
No. I recommend whichever models and tools suit the job and your budget, including none at all.
Do you build things or just advise?
Both. I build smaller systems myself and manage specialist developers on larger ones.