Custom AI
built for the
way your team
actually works.
An independent practice helping enterprise teams ship production AI: strategy, architecture, enablement and governance. No generic tools. No slide-deck theatrics. Software designed around your workflow, your data, your people.
AI Strategy
Not sure where to start, or how to prioritise? I work with leadership teams to build a clear AI roadmap grounded in your actual business problems, not just what's trending on a podcast this week.
Opportunity audit
Where AI earns its keep, and where it won't
90-day shortlist
3–5 workflows ranked by impact and risk
Vendor-neutral
Buy vs. build vs. partner, no quotas attached
Board-ready memo
So your roadmap survives finance, legal and the exec team
Architecture
& Build
From RAG applications to autonomous agents, I design and build production-ready AI systems. The focus is on what ships and works, not what looks impressive in a slide deck.
Reference patterns
RAG, agents and document pipelines. Production-tested.
Azure-native
OpenAI · AI Search · Functions · Container Apps
Evals by default
Golden sets & regression scoring from day one
Handover that holds
Code your team owns, docs they actually read
Team Enablement
Your team needs to own this technology, not just use it. I run hands-on sessions that get developers and business users comfortable building and working with AI tools, so the project doesn't stall the moment I leave.
Developer intensives
2–5 day workshops on your stack, your data
Operator clinics
For the people doing the work, not just shipping it
House playbooks
Prompts, evals and model selection, written down
Coach the leads
1:1 mentoring for the engineers who own the platform
Governance
& Security
Deploying AI responsibly means thinking about data access, audit trails and guardrails from day one, not in a panic after the first near-miss. I help you put the right controls in place before things go wrong.
Access review
Who asks what, of which data, under whose identity
Audit trail
Every answer traceable to prompt, context and model
Red-team
Prompt injection, exfil and jailbreaks pressure-tested
Policy alignment
AI regulations and compliance requirements turned into controls you can actually ship
Rapid Prototyping
Some questions can only be answered by building. A small, focused prototype on your real data tells you more about feasibility in two weeks than three months of slide-based debate ever will.
End-to-end slice
Real slice of real work, no sanitised demo set
Small test cohort
5–10 of your people, two weeks, structured feedback
Honest numbers
Quality, latency and cost-per-call, measured not guessed
Go / no-go memo
One page. Scale it, change it or kill it, backed by evidence
Ongoing
Partnership
Most AI work doesn't fail at launch. It drifts in month four when nobody owns the evals. A retained engagement keeps an expert hand on the tiller while your team builds the muscle to take over.
Fractional lead
1–2 days/week embedded: reviews, hard calls, hiring
Quarterly readouts
What's working, what's drifting, what to retire
Vendor watch
Monthly note on what actually changed (and didn't)
On-call
The 9pm "are we sure about this?" call. Sometimes that's the job.
Book a
free call
30 minutes. No deck, no pitch. A clear-eyed look at where AI fits in your business and whether I can help.
- What your team has tried and what hasn't landed
- Where the highest-leverage opportunities actually are
- An honest take on build vs. buy vs. wait
Or reach me by email: michael.kabuage@wingumoja.co.ke