What does an AI-native engineering partner actually do?

Puts Claude Code and agent workflows into your existing codebase, governs model cost with routing and caching, and makes the GDPR, EU AI Act, and data-retention calls, working alongside your engineers rather than leaving a report behind.

How do you keep AI model cost under control?

Routing by task so the frontier tier is reserved for work that earns it, effort tuned down for routine steps, caching for the 90 percent discount, batching, output caps, and a per-team budget set before the first production request.

Do you work with regulated or DACH teams?

Yes. Finance, insurance, public sector, and DACH mid-market, where every AI decision carries a GDPR, EU AI Act, or data-retention question. The compliance call is part of the engineering, not a separate workstream.

AI-Native Engineering Partner for Enterprise Teams

You adopted a frontier model. Now it has to land in a real engineering org, run inside budget, and survive an audit. That last mile is the work.

Most teams can call an API. Fewer can put Claude Code and agents into an established codebase, route model spend so the invoice does not double overnight, and make the compliance calls a regulated shop actually has to answer. That is what I do: I work alongside your engineers to get AI into production and keep it there, without the vendor lock-in, the runaway bill, or the governance gap.

Who this is for

Established engineering teams adopting AI in earnest, not from zero. Usually one of:

A team modernising a legacy codebase (an ABAP estate moving to cloud SAP, a COBOL core, an aging monolith) that is convinced AI can do the conversion but has no one to orchestrate it. That is a specific engagement: AI-orchestrated legacy code migration.
A dev org that has AI in pilots and needs it in production, with cost and quality under control.
A regulated or DACH company (finance, insurance, public sector, healthcare) where every AI decision has a GDPR, EU AI Act, or data-retention question attached.
A team that adopted a frontier model, saw the bill, and needs the spend governed before the next invoice.

If you need a specific stack rebuilt from scratch, I am not your contractor. If you need AI to work inside the org and the stack you already have, that is the engagement.

What the engagement covers

Three things, in the order they usually matter.

Land AI-native workflows in your codebase. Claude Code and agent workflows applied to your actual repositories and your team’s actual practice, not a demo. Where an agent earns its place, and where deterministic code should stay in charge.

Govern the model cost. Routing by task so the frontier tier is reserved for work that earns it, effort and caching tuned, output capped, and a per-team budget in place. The Fable 5 cost guide and the Claude API cost playbook are the method I bring to the audit.

Make the compliance calls. Which data class is allowed on which model, what the 30-day retention requirement rules out, where the EU AI Act and GDPR draw the line, and how to redact sensitive documents before they ever reach a model. The enterprise PII redaction architecture is the pattern.

How it works

Scope first, always. Before any engagement I write a fixed-price scope: the problem, the proposed solution, milestones, timeline, and assumptions, delivered within 24 hours and in a form you can forward to whoever signs off. No slide deck, no discovery-phase invoice. You see exactly what you are buying before you commit. Here is a representative sample scope.

Why me

I build production AI systems for a living, not decks about them. The proof is the work: decision-support systems that sit on top of the tools a company already runs, revenue-prioritisation pipelines, and EU-hosted document handling for regulated data. I write the cost and compliance playbooks I apply, and I bring them to your team rather than leaving a report behind.

I do not resell a platform, and I do not claim your specific ERP. I bring AI-native engineering practice to the org and the stack you already have, and I make the calls that keep it in budget and inside the rules.