Services
Four engagements.
One through-line.
Each engagement stands alone, and each one makes the next possible. You can stop after any stage — we'd rather you do that than carry a system you can't operate.
Stage 01 · 2 weeks · fixed fee
Readiness & opportunity map
We interview 8–12 people across your business, shadow the workflows they describe, and map each one against what frontier models are actually good at today. The output is a ranked opportunity list with effort, risk, and expected payback — plus a concrete pilot plan.
Outputs
- Opportunity map (12–18 workflows, scored)
- 3–5 pilot candidates with ROI modeling
- Pilot plan: scope, eval set, exit criteria
- Executive briefing deck
- You've had 2+ AI "demos" that didn't go anywhere
- Leadership wants a defensible plan, not a pitch
- You need a pilot that survives a CFO review
- Regulated industry, or soon-to-be
Stage 02 · 6–8 weeks
Measured pilot
One workflow, instrumented properly. We build the evaluation harness before we touch the model — accuracy against a gold set your experts validate, cost per run, reviewer time, and the exit criteria that determine whether it goes to production.
Outputs
- Evaluation harness with versioned test set
- Baseline (human) vs. model performance
- Cost-per-run economics
- Go/no-go recommendation with data
- Accuracy vs. expert-labeled ground truth
- Time saved, measured against current SOP
- Failure modes — categorized, not hidden
- Cost envelope including review overhead
Stage 03 · 8–12 weeks
Production system
We build the pilot as a real internal system: auth, role-based access, full audit logs, human-in-the-loop gates, cost caps, fallbacks, and observability. Delivered with runbooks your engineers can operate — we're not trying to be a dependency.
Outputs
- Production-grade system in your cloud
- SSO, RBAC, audit trail, retention policy
- Observability dashboards + alerting
- Runbooks + operator training
- Model providers: Anthropic, OpenAI, Azure, Bedrock
- Cloud: AWS, GCP, Azure, on-prem where needed
- Auth: your existing IdP (Okta, Entra, etc.)
- Data: stays where your policy says it stays
Stage 04 · Ongoing
Governance & scale
Once you have one system shipped, the question becomes: how do we do this repeatably, safely, and at a pace the board can see? We build the program — AI policy, model-choice rubric, review cadence, and the portfolio view that keeps every workflow in flight legible.
Outputs
- AI usage policy, reviewed by counsel
- Model-choice rubric (when to use what)
- Quarterly portfolio review, written for the board
- New-workflow intake & triage process
- Pharma & biotech — regulatory affairs, clinical ops
- Financial services — KYC/AML, credit memos, research
- Legal — contract triage, discovery, memo drafting
- Professional services — proposal drafting, research synthesis
Let's talk
Start with a 30-minute call.
We'll walk through one workflow you've been trying to improve, and leave you with a concrete view of what a pilot would look like — whether you hire us or not.