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For government agencies, companies and non-profits with a process that costs more hours than it should. Audited first, architected second, automated last — and handed over as something your own team can run.
Who this is for
The constraints differ — procurement, margin, mission — so the builds differ. The sequence does not.
Fixed headcount, rising volume, and a compliance surface that makes most off-the-shelf AI unusable.
Growth capped by manual process — support queues, onboarding, back-office work that scales only by hiring.
Small teams, restricted funds, and reporting obligations that consume the time meant for the mission.
Delivery formats
Documented prompt systems wired into the tools your team already uses, with the reasoning written down so the system survives staff turnover. The lightest intervention that still moves the number.
Scoped against your real traffic, tested against your real edge cases, and built with an explicit escalation path to a human. Delivered with a runbook, not a demo video.
Interface, data flow, model layer, monitoring and governance — an end-to-end system built to be owned by your organization, with IP transfer written into the scope of work.
LLM-agnostic, and that is a commitment. Builds run on whichever model your organization or procurement process selects. The architecture is designed so the model layer can be swapped without rebuilding the system around it.
Engagement
Every engagement is scoped in writing before work starts. No open-ended retainers, no ambiguity about who owns the result.
A conversation about where the hours go. If AI is the wrong answer for your problem, you get told that here.
The process mapped as performed, then a written scope of work: deliverables, model and platform choice, timeline, IP transfer terms.
Architected, built and tested against your real inputs and edge cases — with checkpoints, not a single reveal at the end.
Documentation, runbook and team walkthrough. The measure of success is your team running it without me.
Discipline
Every engagement, at every size, carries a written SOW covering deliverables, the LLM and platform being used, timeline, and IP-transfer terms. Nothing starts on a handshake.
Government and NGO builds require documented compliance review and written sign-off before the organization is ever named publicly — including on this site.
Where a build touches personal or health data, the data path is designed against applicable law — Nigeria’s NDPR and any sector rules that apply — as part of the architecture, not as a later patch.
Nothing you say about the work appears anywhere without your written permission first. That rule has no exceptions and no expiry.
Next step
Bring the process that annoys your team most. The first conversation is about whether it is worth automating at all.
