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Agentic engineering · Architecture · Security

Ship faster with AI coding agents — without losing control.

I help Kenyan fintech and engineering teams adopt AI agents safely: with the guardrails your regulators expect, the architecture discipline your systems need, and metrics that prove it works.

CredentialsAll credentials →

The gap

Most teams are somewhere between “banned” and “chaos”

Engineers are already using AI — unofficially

Code, customer data and credentials may be flowing into tools nobody has approved. That is a Data Protection Act and audit problem waiting to surface.

You bought licences, but not results

Autocomplete in the IDE is not a strategy. Without workflows, context and review practices, the productivity gains stay anecdotal.

AI-generated code erodes your architecture

Agents copy whatever patterns they find. Without guardrails, six months of fast shipping can leave you with a codebase nobody wants to own.

How we work

Guardrails first. Then speed.

  1. 01

    Assess

    Baseline your delivery metrics, security posture and codebase readiness.

  2. 02

    Guardrails

    Policies, permissions, sandboxing and CI checks — before agents touch production code.

  3. 03

    Pilot

    Embed with one team, establish workflows, and measure the difference.

  4. 04

    Scale

    Roll out with training, internal champions and a playbook your team owns.

Not sure where to start?

Book a free 30-minute call. We’ll talk through where your team is today and whether an assessment or pilot makes sense — no sales pitch.