[ Our Process ]
Six stages. Full visibility.
Every engagement follows a defined process so nothing falls through the cracks and you always know what's happening. The stages are Discovery, Automation Audit, Build, Test, Deploy, and Support.
Typical timeline: 4-10 weeks from signed engagement to live deployment
[ The six stages ]
Discovery
We map your current operations: which processes run manually, which tools are involved, where the human decision points sit, and what constraints shape what can be built. Two to three sessions with the person who knows the workflow best. No prep required from your side.
Duration
1-2 weeks
Deliverable
Documented problem definition and workflow map
Automation Audit
Each automation candidate is scored on expected ROI and implementation feasibility. Tool selection happens here, not after the build starts. The audit produces a priority matrix so you know which workflows to build first, ranked by operational value rather than impressiveness.
Duration
1 week
Deliverable
Prioritized roadmap with cost and timeline estimates
Build
We work inside your actual stack, connecting to your CRM, scheduling system, EHR, and internal databases. Every two weeks you see what has been built, test it against real inputs, and sign off before we move to the next milestone.
Duration
2-8 weeks
Deliverable
Working code you own, not a platform dependency
Test
AI outputs are probabilistic, not deterministic. We build evaluation frameworks that define correct behavior for your use case, then validate against edge cases: the unusual call flow, the ambiguous document, the request that doesn't fit the happy path.
Duration
1-2 weeks
Deliverable
Tested system with documented behavior expectations
Deploy
We deploy to your environment, whether that's a cloud provider, on-premise infrastructure, or a hybrid setup. HIPAA-constrained builds go on-premise so data never leaves your network. Every system ships with a runbook your team can operate without us.
Duration
3-5 days
Deliverable
Live system with runbook and handoff documentation
Support
AI systems drift. LLM APIs update, business processes change, new integrations come up. We monitor what we deploy, respond to incidents, and tune performance. The first two weeks after launch are covered at no extra charge.
Duration
Ongoing
Deliverable
A system that improves over time, not one that degrades
[ Why it works ]
Built on accountability
Scope clarity prevents failure
73% of stalled AI initiatives cite unclear requirements in the early stages. We built the ambiguity out of our intake process specifically to avoid that.
Every stage produces a deliverable
You never finish a stage wondering what just happened. The output is always something concrete: a document, a testable system, or a live deployment you can operate.
We walk you through it
You see the system take shape incrementally. We don't hand you a finished product and ask you to trust it. Every milestone requires your sign-off before we move forward.
You own everything we build
Real, deployable, documented code that belongs to you. Not a configuration inside a platform that disappears if you stop paying a subscription.