Production AI Customer Journey

From first conversation to production operations

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Branch A
"We don't know where to start"
Guided Discovery
Client knows they need AI but lacks a clear use case. We run Value Discovery first — mapping their operations to identify and prioritize the highest-value AI opportunities.
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Branch B
"We have a use case"
Direct Entry
Client arrives with a defined AI use case. We validate it through the Three-Lens Analysis — often revealing the use case needs refinement or isn't the highest-value starting point.
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Branch C
"Our AI pilots failed"
Rescue & Rebuild
Client has failed AI pilots. We diagnose why through a Pilot Autopsy — separating what's salvageable from what needs rebuilding, then chart the path to production.
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Value Discovery
2-3 weeks
Ranked opportunities
Value Discovery
We map the client's operations to identify AI opportunities, then rank them by business value vs. production complexity. Output: a prioritized shortlist of use cases with clear ROI projections.
DIRECT
ENTRY
🔧
Pilot Autopsy
2-3 weeks
Failure analysis + salvage
Pilot Autopsy
A structured diagnosis of why previous AI pilots failed. We separate what's salvageable from what needs rebuilding, identify the root causes (usually production gaps, not model quality), and define the path forward.
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Three-Lens Analysis
1-2 weeks
Production Readiness Score
Three-Lens Analysis
Every use case is assessed simultaneously through three lenses: Production (will it survive real operations?), Technical (what does the architecture require?), and Business (does the ROI justify the investment?). Output: a quantified Production Readiness Score.
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Build Blueprint
2-3 weeks
Prototype + architecture + firm price
Blueprint
We build a working prototype on your real data, validate the architecture, and lock down a firm fixed price. You see your problem being solved in running code before committing to the full build.
Production Proof
6-8 weeks
Working system, real data
Production Proof
Not a demo — a working system running on real data, integrated with real enterprise systems. We prove the AI works in production conditions, addressing security, governance, cost, performance, and observability from day one.
🚀
Production Deployment
3-6 months
Full rollout at scale
Production Deployment
Full-scale rollout across the organization. All 10 Production AI dimensions are fully addressed: security hardened, governance in place, cost controls active, user training complete, and support model operational.
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Production Operations
Ongoing
24/7 managed service
Production Operations
Ongoing managed service: monitoring, incident response, model updates, drift detection, and continuous optimization. We stay as your long-term production partner — if it breaks at 2am, our phone rings.
Go / No-Go
Scope + Price Locked
Production Validated
Fully Operational
SLAs Active
What it is
How we do it
What you get