The Delivery Playbook

End to end

One process, one loop.

value flowmetricsprocess improvement

▲OPTIMIZE

01Discover

Ambition → engineering spec

metric + measured baselineconstraint registercompliance boundary

▶G1fail ↩ CAR

02Prototype

Statistical proof of lift

eval harness + splitslift vs baseline, held-outfailure-mode catalogue

▶G2fail ↩ CAR

03Build

Gate wired into the pipeline

eval-in-CI blocks regressionstraceability + audit loghuman-in-the-loop paths

▶G3fail ↩ CAR

04Deploy

Controlled release, in-perimeter

canary → progressive → fullSLO-tied monitoringtested one-command rollback

▶G4fail ↩ CAR

05Scale

Reproducible, self-improving

pinned model + data + configeval-gated retrainingplatformized machinery

▶G5fail ↩ CAR

In productionnext use case starts
at gate quality,
day one

MEASUREMENT REPOSITORYevery gate emits evidence — baselines · eval scores · p95 latency · drift · incident + rollback data · cost per outcomedecisions are made on this, nothing else

CAUSAL ANALYSIS & RESOLUTION← receives every gate failure

Each failure is traced to a root cause. The fix targets the cause — a new eval case, a stricter check, a changed procedure — never just the symptom.

failure → root cause → process change → verified closed

PROCESS ASSET LIBRARY→ inherited by every new project

Eval harnesses, gate checklists, runbooks, threat models, benchmark suites — versioned and reused, so no project starts from zero or repeats a solved problem.

assets accumulate → delivery gets faster and stricter at once

⟳ CONTINUOUS IMPROVEMENTRoot-cause fixes and process assets feed back into every stage — the process, not just the product, is what optimizes.returns via the OPTIMIZE rail ↖

Inspired by CMMI® high-maturity practices (Level 5, “Optimizing”). Not an appraisal or certification claim.

The method

Five stages, five gates.

STAGE 01

Discover

Turn a business ambition into an engineering spec: the single metric to move, and the constraints that bind it.

THE GATE — PASS WHEN

One primary metric, with its baseline measured.
Data sources confirmed, with owners and residency rules.
Latency and availability budget signed off.
The compliance boundary is explicit.

STAGE 02

Prototype

Prove the metric is movable inside the constraints — a thin end-to-end slice on the real data path, not a demo on a sample.

THE GATE — PASS WHEN

Beats the baseline by the agreed margin, on held-out data.
No leakage between training and test.
Runs on the real data path, inside the residency boundary.
Knows when to refuse — failure modes tested.

STAGE 03

Build

Turn the slice into a production system, with the quality gate wired into the pipeline so it holds on every change.

THE GATE — PASS WHEN

Every change re-runs the eval; a regression blocks it.
Latency within budget under real load.
Every output traceable to its source.
A human in the loop wherever the stakes require it.

STAGE 04

Deploy

Ship it where the data already lives, with monitoring that catches drift before users do and a rollback you have actually tested.

THE GATE — PASS WHEN

Runs inside your environment — zero data egress.
Monitoring live, with alerts tied to SLOs.
Rollback tested: one command, restore verified.
Runbook written, on-call ownership assigned.

STAGE 05

Scale

Extend across teams and use cases on a foundation that holds its quality gate — so the second system starts ahead of the first.

THE GATE — PASS WHEN

Every deployed version is reproducible.
Retraining passes the same gate before promotion.
New use cases inherit the platform from day one.
Quality is tracked per model, not assumed.

Our delivery process, inspired by CMMI Level 5.

One process, one loop.

Five stages, five gates.

Discover

Prototype

Build

Deploy

Scale

Run your use case through the gates.