Tell us what's broken
Scope, duration, and fees are confirmed per engagement, in a written agreement.
- Discovery
Opportunity discovery
Leaders exploring AI, ready to find the right first use case.
Turn an open ambition into a ranked opportunity list and one concrete next decision.
- Current-work map of one function
- Opportunity shortlist ranked by value, feasibility, evidence, and access
- One selected problem brief with assumptions and missing data
- An experiment scope or readiness plan
- Verify
Feasibility experiment
A promising task whose value or feasibility needs proof.
Test one approach and walk away with measured results and a clear recommendation.
- Demonstration or small prototype on one task
- Example set and evaluation criteria agreed up front
- Measured results with unresolved issues named
- Indicative operating costs and a build, revise, or stop recommendation
- Build
Workflow implementation
A confirmed use case ready for a bounded build or integration.
A working AI-assisted workflow — tested, handed over, with clear operating ownership.
- Working workflow in the agreed environment
- Acceptance tests and results
- Operating-cost estimate and user guidance
- Monitoring, recovery instructions, and handover
- Improve
Workflow improvement
A live agent or workflow with a costly failure, bottleneck, or planned change.
Bounded changes, proven against a baseline on reserved cases — before anything ships.
- Reproducible baseline and failure analysis
- Implemented changes with regression tests
- Quality, effort, latency, and cost comparison on reserved cases
- Release recommendation plus rollback and handover records
First software focus: improving agents already in production. - Maintain
Managed improvement
A running workflow with recurring releases, new knowledge, or changing rules.
Steady, visible improvement every month — measured, reported, yours to renew.
- Maintained tests and rules
- Completed changes with release records
- Monthly outcome, cost, and effort report
- Next priorities; renewal follows recurring need
- Enable
Team enablement
Teams and delivery partners ready to run discovery, evaluation, and improvement themselves.
Your team leaves with a working process, exercised on its own task.
- Task-specific templates and evaluation walkthrough
- A controlled change exercised on a real example
- Operating checklist
- Capability-gap and follow-up plan
Method
Work walkthrough
A practitioner walks us through one complete task: inputs, steps, systems, waiting periods, and how they know it is done.
Sample output
We prepare a sample result from authorized material. You mark what is useful, wrong, or missing.
Success criteria
Your feedback becomes acceptance criteria: correct handling, unacceptable outcomes, review, and cost.
Bounded experiment
One task, one primary question, an agreed baseline and budget — and a decision rule for continue, revise, or stop.
Every engagement ends with a decision
Continue, revise, or stop — recorded with its evidence. Even a stop is a complete result: you keep the baselines, the tests, and the full handover.