How It Works
What an engagement actually looks like
No surprises. Here's exactly how we work, phase by phase, with what you'll see at each stage.
Discovery
Weeks 1–2
We map your current AI tools, identify disconnections, and assess where human governance gates are needed.
What you get
- ✓AI landscape map — every tool, who uses it, what it costs, whether it's working
- ✓Governance requirements — which actions need human approval, at what risk threshold
- ✓Prioritized opportunity list — ranked by business impact and feasibility
- ✓Scoped proposal — exactly what we'll build, with timeline and cost
Your role
Answer questions about your workflow. Tell us where it hurts. Approve the plan before we build.
Design + Validate
Weeks 3–4
We architect the solution and test it before writing production code. Four automated review checks run in parallel.
What you get
- ✓Architecture spec with diagrams
- ✓API contracts (if integrating with your systems)
- ✓Test plan and security review results
- ✓Your sign-off gate — nothing gets built without your approval
Your role
Review the design. Flag anything that doesn't match how your business actually works. Approve to proceed.
Build
Weeks 5–8
Implementation with quality gates at every checkpoint. AI handles the volume. Your team approves every high-risk action.
What you get
- ✓Working production system with full source code
- ✓Test coverage evidence at each phase
- ✓Deployment runbook
- ✓Quality gate evidence — no black boxes
Your role
Approve high-risk actions when they come to you. Test the system. Give feedback.
Integrate + Operate
Months 2–3
Connected to your existing systems with explicit approval workflows. Monitoring, alerting, and rollback built in.
What you get
- ✓Integration with existing tools (CRM, email, internal systems)
- ✓Monitoring dashboard — see what the AI is doing at any time
- ✓Alerting and escalation rules
- ✓Rollback procedures — undo anything that goes wrong
Your role
Validate integrations work with your real data. Confirm alerting thresholds.
Compound
Months 3+
The system starts learning. Patterns from your first project accelerate your second. Knowledge lives in infrastructure.
What you get
- ✓Compounding knowledge base (you keep this regardless of engagement status)
- ✓Monthly health reports
- ✓Quarterly discipline reviews
- ✓Drift detection — flags when behavior diverges from approved baselines
Your role
Review monthly reports. Approve recommended optimizations. Plan next initiatives.
Pricing
| Engagement | Investment | Timeline | Best For |
|---|---|---|---|
| Managed Build | $25K–$90K | 4–8 weeks | First production AI system |
| Continuous Governance | $2K–$20K/mo | Ongoing | Running AI systems at scale |
| Workshop | $0–$2K | 90 minutes | Teams evaluating the approach |
60 minutes. No commitment. No slide deck.