How we work
Four stages. One measurable business case per engagement
Every project we take carries a defined baseline, target, and acceptance criteria, before delivery starts. Stages expand only when the previous one landed.
01
Assess
Fixed-fee discovery sprint. We define baseline metrics, target metrics, data sources, workflow owners, and acceptance criteria.
Fixed fee, 2-4 weeks
What you get
- • Business case
- • Data inventory
- • Workflow map
- • Acceptance criteria
02
Build
A focused sprint that ships the pipeline, workflow, or intelligence layer defined in Assess, integrated with your systems.
Fixed-scope sprint, 4-12 weeks
What you get
- • Working solution
- • Documented handover
- • Baseline vs. target measurement
03
Manage
Ongoing managed intelligence: monitoring, alerts, dashboards, analyst notes, data refreshes, and continuous recommendations.
Monthly subscription or retainer
What you get
- • SLA-backed data
- • Alerts routed to owners
- • Analyst-led narrative reviews
04
Improve
Ongoing evaluation and tuning: AI eval sets, prompt and model updates, data quality checks, cost trims, and workflow adjustments. Everything measured against the targets we set in Assess.
Monthly improvement budget tied to metrics
What you get
- • Higher accuracy
- • Lower cost
- • Fewer regressions
Ground rule
"Every AI or data project has a measurable business case before delivery starts. Baseline metrics, target metrics, data sources, workflow owners, and acceptance criteria are defined during discovery, not after."
Next step
Discuss your use case
Bring one pain point, a data source, a workflow, a margin question. We'll come back with a focused assessment and a clear ROI hypothesis.