The operating model.
How a build pod actually runs, end to end — from the moment a request enters your lane to the moment credits are deducted for accepted work. No steps skipped, no fine print hidden.
The deployment loop
We do not start with a transformation program. We start with one workflow that should already exist, ship the first version, and improve it based on real usage.
Signal
Find the workflow with the clearest pain, volume, owner, and business value.
Blueprint
Define the scope, data needs, acceptance criteria, risks, and credit estimate.
Build
Ship the first version with AI-augmented development, integrations, QA, and documentation.
Deploy
Put it in front of users, train the team, and monitor where it works or breaks.
Compound
Improve the workflow, expand the backlog, and turn one useful build into a repeatable delivery lane.
Stage by stage
the full delivery processRequest intake
Requests enter through your build lane as one-page descriptions: the workflow, the trigger, the systems involved, and what done looks like. Anyone on your team can submit; your lane owner ranks the backlog.
Scoping
We turn the request into a written scope: deliverables, acceptance criteria, timeline, dependencies, and a credit estimate. Anything out of scope is named explicitly so the boundary is visible before work starts.
Credit approval
You review the scope and approve it — or mark it up in one pass. Nothing is built on a verbal yes. A 48-hour approval rhythm keeps the lane moving at full capacity.
Credit reservation
On approval, the estimated credits move from available to reserved in your pod. Reserved credits are not spent — they're committed, visible, and released back if a scope is cancelled before build.
Delivery
We build with AI-augmented development, integrations, and documentation as we go. Progress is visible weekly: demos on a standing call, status on every active build.
QA
Every build is tested against its written acceptance criteria before you see a demo — including the edge cases your team flagged during scoping.
Client acceptance
Your workflow owner runs the acceptance criteria as written. Fixes inside the approved criteria don't consume extra credits; new requirements become new scopes.
Credit deduction
Credits are deducted only when the work is accepted. If a build ships under estimate, the difference returns to your available pool.
Monthly reporting
A monthly summary covers credits spent and reserved, builds shipped, and the backlog re-rank — the same honest numbers every month, in one page.
Blocked work rules
If a build blocks on client-side access, approvals, or inputs, the clock pauses and the lane moves to the next ranked request. Blocked work is flagged in the weekly call, never silently stalled.
Client responsibilities
A pod compounds fastest with a named lane owner (48-hour scope decisions), a workflow owner per build, pre-cleared system access, and attendance at the weekly demo. We'll tell you if any of these are slowing the lane.
Security review by workflow risk
Sensitive workflows get an architecture review before build — data boundaries, access controls, human approval points, and audit requirements — and may require separate scope. We design around your data requirements, approved vendors, and security constraints.
Every pod runs on written scopes, approved credits, visible delivery, and documented handoff.
We design deployments around your data requirements, approved vendors, and security constraints. For sensitive workflows, architecture is reviewed before build and may require separate scope. Where required, workflows can include access boundaries, human approvals, audit trails, and vendor settings that prevent model training on client data.
Deliverables, acceptance criteria, and dependencies defined in writing before work starts.
You approve the written scope; credits are reserved before anything gets built.
Review points and approval gates wherever judgment or risk lives — automation with a steering wheel.
Your systems, your credentials, your access boundaries — you decide what we can touch.
Demos and delivery status on a weekly rhythm — you always know what's shipping.
Every build is tested against its acceptance criteria before you ever see a demo.
Every build ships with documentation, training handoff, and documented assumptions.
Sensitive workflows get an architecture review before build — and may require separate scope.
This is the machine your requests run through. Want to see it pointed at your backlog?