How we work

No black boxes.
No leaps of faith.

Five steps, each ending in a decision gate where you choose to continue, adjust, or stop. Timelines depend on data access, integrations, security requirements, and process complexity — we commit to concrete plans after discovery, not before.

STEP 01

Discover

We identify processes with enough repetition, cost, friction, or strategic value to justify automation. Short, structured sessions with the people who actually do the work — not a slide-deck safari.

You provide

  • 1–2 hours with process owners
  • Examples of the recurring work
  • A sense of your priorities

We deliver

  • Opportunity shortlist
  • Effort vs. value assessment
  • Risk & privacy first pass

Security

  • NDA available before we start
  • No production access needed yet

Decision gate: is there a candidate process worth mapping? If not, we say so and stop here.

STEP 02

Map

We document systems, data, exceptions, permissions, and human decision points. This map is a deliverable in itself — most companies have never seen their process drawn accurately.

You provide

  • System access details (read-level)
  • Sample data or documents
  • The exception stories

We deliver

  • Process map
  • Data-flow diagram
  • Technical architecture proposal
  • Fixed prototype scope & price

Security

  • Data classification agreed
  • Deployment model chosen (cloud / local)

Decision gate: you approve the architecture and prototype scope before any build starts.

STEP 03

Prototype

We build and test a controlled proof of value using representative data. The prototype runs the real process shape — trigger, context, reasoning, control, action — on a safe dataset.

You provide

  • Representative test cases
  • Feedback from process owners

We deliver

  • Working prototype
  • Test results against your cases
  • Accuracy & exception analysis
  • Production plan & cost estimate

Security

  • Sandboxed, no production writes
  • Approval flows demonstrated

Decision gate: the prototype's measured results — not our enthusiasm — decide whether it goes to production.

STEP 04

Deploy

We connect production systems, add monitoring and controls, and document the solution. Launch is staged: shadow mode first where useful, then supervised operation, then steady state.

You provide

  • Production credentials (scoped)
  • Sign-off on approval thresholds
  • A named internal owner

We deliver

  • Production workflow
  • Monitoring & alerting
  • Test suite
  • Documentation & team handover

Security

  • Security review with your IT
  • Least-privilege access
  • Audit logging live

Decision gate: go-live requires your sign-off on the tested system and its controls.

STEP 05

Improve

We review failures, usage, costs, and business outcomes, then refine the workflow over time. Improvement can be a retainer or periodic reviews — or your team can own it fully with our documentation.

You provide

  • Feedback from daily use
  • New edge cases as they appear

We deliver

  • Usage & cost reviews
  • Model/version evaluations
  • Refinements & expansions
  • Roadmap for next workflows

Security

  • Ongoing access reviews
  • Update & patch planning

Ownership: the workflows, code and documentation are yours either way.

Deliverables, not dependencies.

  • Process map
  • Technical architecture
  • Prototype
  • Production workflow
  • Test cases
  • Monitoring
  • Documentation
  • Team handover
  • Support options

Let AI prepare the work.
Let people approve what matters.