
HR records and approvals at BMA
Recruitment, training and manager reviews, with a record of each decision.
AI, automation and software, chosen for the problem.
I start with how the work happens today. We look at a real example, the people involved and what gets in the way. Then we agree what is worth building and what is outside the project.
Follow one request or task with the people who handle it, including the awkward cases.
Write down what the project needs to do, how we’ll check it and what it won’t cover.
Agree who needs to review the work and how the finished project will be handed over.

Recruitment, training and manager reviews, with a record of each decision.
Product details prepared for import, with an owner review before publishing.
I build alongside software engineers. A project might connect records, handle an approval or answer a customer question. We use AI where it helps, with checks around the parts that can go wrong.
Build the forms, rules or software agreed in the scope, with working examples to review.
Move the right information between your existing tools, with a way to spot failures.
Check incomplete information, failed steps and cases that still need a person’s decision.

Recruitment, training and manager reviews, with a record of each decision.

An online bookshop, bulk catalog imports and answers to customer questions.
The people using the software try it against their actual work. We review what needs fixing, document how it works and agree who handles support after handover.
Let the people doing the work try the software and point out what needs improving.
Leave clear instructions, known limits and a clear owner for each next step.
Set out what support is included, who to contact and how further changes are handled.

An online bookshop, bulk catalog imports and answers to customer questions.
Product details prepared for import, with an owner review before publishing.
Tell me what’s happening today.
We’ll work out whether I can help.