Agents in every role, with the decisions owned by people.
Where agents work, and what stays with the engineer who owns it.
AI agents work across every major role in a modern engagement. The engineer who owns the work stays responsible for judgment, your context, the decisions, and the outcome.
These are roles in a delivery system. Several run at once throughout an engagement, so there is no order to read them in.
Seven roles
Several run at once throughout an engagement.
Design
Agent output
Produce and iterate interface and interaction work at speed
Goes to the accountable person
Named person’s decision
Whether the design serves the user and the outcome
The seven roles run at once, and the engineer who owns the work signs off on each of them.
Every agent works under a named engineer.
Nothing here means AI writing your systems unsupervised.
Agents do not decide your architecture or judge whether a design serves your customers, and they do not carry accountability, because accountability cannot be delegated to a system that cannot be held responsible.
What they do is remove the drag: reading the estate, drafting plans and code, scaffolding, generating test coverage, and writing the documentation that usually gets written last or not at all. That is a large share of any engagement, and compressing it is what creates the speed.
What stays with a named person
- 01Every consequential decision, with a named person accountable for it.
- 02Every judgment that depends on your context, where general knowledge is not enough.
- 03Every commitment we make to you about scope, cost, or date.
What the delivery model changes for you.
Cost is predictable.
We can commit to a price because we are not guessing at how many hours a team will need.
Quality is more consistent.
Test coverage and documentation happen continuously, whatever the schedule does.
Context is not lost.
Decisions and rationale are captured as the work happens, so the reasoning survives past the engagement.
Fewer people to manage.
Fewer people means fewer handoffs and less of your time spent managing us.
Each engagement should improve the next one.
A firm built around execution cannot treat every engagement as a fresh start. What we learn on your work becomes reusable methods and patterns, which lowers the cost and the risk of the work that follows.
You are not paying us to rediscover something we already solved for someone else.
Note on ownership
Reusable assets are our methods and patterns. Your data, your business logic, and anything specific to your organization stay yours, and where we build something for you, you own it. Ownership terms are explicit in every engagement.
See engineeringClient work
Real engagements, with real constraints. Everything else here comes out of them.
Client work
Real engagements, with real constraints. Everything else here comes out of them.
See it on real work.
A delivery model is only checkable on a real problem. Put one in front of this one.
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