§ Approach

How we work.

A small set of working principles, a four-stage engagement lifecycle, and the artefacts you walk away with. The thing buyers quietly worry about more than what we do.

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Principles

Five working principles.

Short list, applied with discipline. None of these are radical on their own — the value is that we hold to all of them at once, every engagement.

  1. Build with, not for.

    We sit alongside your team and transfer capability as we go. The AI muscle stays in the business after we leave, by design.

  2. Vendor-honest.

    We integrate with whichever models and platforms fit the job. We're not reselling a stack, and we'll say so when an open-source path is cheaper.

  3. Evaluation-first.

    We don't ship LLM features without an evaluation harness. "It looks good in the demo" is not a quality bar; regression-testable metrics are.

  4. Transfer capability.

    Patterns, runbooks, ADRs, enablement materials. The deliverables are the ones your team will still be using six months after we hand over.

  5. Calm delivery.

    No heroic sprints, no surprise scope inflation. Tight scope, weekly demos, honest status. Boring on the outside is the point.

Engagement lifecycle

Discover · Design · Deliver · Hand over.

Four stages. The first two and the last two are equally important — and we plan for the handover from week one.

  1. Discover

    Two to three weeks. We pressure-test the problem, the constraints, the success criteria. Outcome: a written brief both sides recognise.

  2. Design

    Architecture, evaluation strategy, prompt and tool surface, observability plan. ADRs you can show a security team. No code without a design behind it.

  3. Deliver

    Weekly demo cadence. Production-quality bars from day one. Capability transfer to your team runs alongside delivery, not after it.

  4. Hand over

    Runbooks, eval harness ownership, on-call rota, post-launch metrics review. We're not gone the day after launch.

What you get

The artefacts.

Specifics, not vibes. Below is the list we hand over on a typical Build/Advise engagement — yours may add or subtract, but never less than this.

Architecture

ADRs & reference diagrams

Decision records for every consequential call, in plain English, with alternatives considered and why we ruled them out.

Evaluation

Eval harness & metric set

A regression-testable evaluation suite owned by your team. Cost, quality, and latency tracked in one place.

Operations

Runbooks & on-call playbook

What to do when the model goes wrong. Concrete, tested, and owned by an engineer on your side from week one.

Enablement

Patterns & playbooks

The agent and integration patterns we used, written up as your team's internal reference.

Governance

Security & data-handling notes

Where data flows, what's logged, what isn't, and the rationale your security team needs in writing.

Continuity

Post-launch review

A 30 / 60 / 90-day check-in built into the engagement — so the system stays sharp once we've stepped back.

§ Posture

Security, IP, and confidentiality.

We sign your NDA before discovery. Code, data, and infrastructure live in your environment — not ours. We don't take ownership of client IP, we don't reuse client artefacts in other engagements, and our case studies pass a prior-employer screening review before they ship.

For enterprise engagements we'll run the security review your CISO needs: named subprocessors, data-flow diagrams, retention and deletion posture, and a written model-usage policy.

Ask us for the security pack

If the principles read right, talk to us.

A discovery call gets to the shape of the engagement in thirty minutes. No pitch deck.

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