AI Directed Product Engineering Firm

Your business is V1.
We build your V2.

Everything your company has learned is the prototype. We rebuild your operation as an AI-native business, module by module, while V1 keeps running. When V2 is proven, you move over. Not a day before.

A conversation first. A written scope within 48 hours of it.

V1 · Still running Your team works. Customers notice nothing. Audit in Built in modules Fixed scope. Demoed. Stop at any gate. Audit out V2 · AI-native Owned by you. Moved to when proven.
Why rebuild

Bolting AI onto old software is a new engine in a rusted car. A chatbot is not a strategy.

Incremental AI

  • AI features added to workflows designed years ago
  • Built for the average customer of your software vendor
  • Old data structures with AI stacked on top
  • Rented tools, rising per-seat rent, no asset at the end
  • Incremental effort, incremental results

The V2 company

  • Workflows redesigned around what AI does well
  • Data captured cleanly, by design, from day one
  • AI agents inside every process, people approving what matters
  • Your workflows, your data, your source code. An asset
  • Built alongside V1, typically four to eight months

Stop patching. Start building your V2.

The methodology

Audit in. Build on the Belt. Audit out.

Nothing enters production on a promise. Work arrives through a Production Discovery, moves down the Conveyor Belt in fixed 40-hour modules with a demo cadence, and leaves through an exit audit that proves what was built.

Gate · In

Production Discovery

A 13-layer scan of your codebase. The report teaches, and it ends in a written scope.

→
The Conveyor Belt

Modular delivery

Fixed-scope modules, demoed as built, accepted on evidence. Stop at any gate. Every module earns the next.

→
Gate · Out

Exit audit

The same 13 layers, run again. What changed is measured, documented, and handed to you.

The flagship · AIOS

One platform. Your whole operation. AI-native from the foundation up.

AIOS is the V2 engagement: your business rebuilt as a single AI-native platform instead of a patchwork of rented tools. Scoped to your size, built in modules over four to eight months, and running alongside V1 until it is proven.

  • Domain services modeled to your business, not to your software vendor's average customer.
  • AI agents inside every workflow, with structured data by default and evaluation loops on everything.
  • A human approving anything that matters, enforced by the platform, not by policy.
  • Owned by your business. Your workflows, your data, your source code.
The problem, in the field

A request arrives carrying twelve specific criteria. Staff search seven divisions by hand, and can still miss the right answer, because nothing in the current setup can hold all twelve at once. An hour of work that should take ten minutes.

The bill, meanwhile

Thousands a month going to a decades-old tool nobody chose, because leaving it was never made real. V2 makes the exit path real.

Where your AI runs

Hosted or sovereign. Your call, made deliberately.

Some operations run well on big AI providers. Some can't afford to teach a frontier model their craft. We build for both, and we tell you plainly which one you are.

Hosted

Right when speed matters more than custody

Frontier models, managed infrastructure, fastest path to working AI. The platform is still yours; the intelligence is rented. For most workflows, that trade is fine.

Sovereign

Right when your process is the moat

Open-weight models on hardware you control, trained on your own procedures, contracts, and records. Nothing leaves. Your estimating logic stays your estimating logic.

Hosted AI Infrastructure →
From the field

Evidence over claims

"The early modules were about learning how we work together, and Module 3 is the foundation the rest of the company gets built on."
Operations VP, Faction client
27 → 2

Vulnerable dependencies at baseline versus delivery on a recent client module. 54 of 54 acceptance tests passed.

0 critical

A client web app taken from 1 critical and 13 high vulnerabilities to zero of each, with a CI pipeline that actually runs.

4 countries

Active engagements across three continents, every one delivered module by module with acceptance evidence.

How engagements run

Scaffolding you don't pay for. Support you don't rent.

Core scaffolding, included

  • Authentication, roles, and permissions
  • CI/CD pipelines and branch protection
  • Test harnesses and evaluation loops
  • Logging, monitoring, and audit trails
  • Deployment and rollback discipline
  • Documentation that survives handoff

The foundation every build stands on. It ships with the work, not as a line item.

Support without the retainer

  • Fixed-scope support modules, bought when needed
  • No monthly minimums, no idle hours billed
  • Every module scoped, demoed, and accepted
  • Stop at any gate, keep everything delivered
  • Your repo, your infrastructure, your keys

Pricing lives in context on each service page, after the work is clear.

Learn the method yourself

The whole curriculum is free at mattmurphy.ai

Every course, every exam, the community, and the DIY kits. Free for everyone. Learn AI-directed engineering the way our own engineers do, build on your own, and bring us in when you want the belt behind you.

Ready when you are

Somebody in your industry will rebuild first.

Book a call and tell us how your business actually runs. Or start smaller: a $200 Production Discovery turns your codebase into a written plan.

A written scope back in 48 hours.