Commercialisation and delivery
Outcome
Primary outcome: You can take a solution from opportunity to production—with product discipline, commercial credibility, performance economics, human-centred design, delivery governance, adoption traction, and operational readiness.
Secondary outcomes:
- Produce Stage 5 core deliverables (PRD, business case, FinOps model, UX flows, programme plan, change plan, proposal pack, vendor scorecard, runbook) linked to prior discovery artefacts.
- Defend unit economics (cost per successful task, TCO, benefits register) in steering and procurement conversations.
- Run pilot-to-scale transitions without silent scope creep, run-rate shock, or adoption collapse after go-live.
Stage 5 does not require you to master every specialty alone. It requires you to orchestrate product, finance, engineering, UX, PMO, change, sales, and ops into one coherent delivery story.
Who Stage 5 is for
| Profile | Typical gap | Stage 5 fix |
|---|---|---|
| Strong builder, weak product | Ships features; no PRD, metrics, or backlog hygiene | Topics 06, 23 |
| Strong architect, weak commercial | Great diagrams; cannot price or defend ROI | Topics 07, 29, 30 |
| Strong consultant, weak FinOps | Wins phase one; run rate explodes in year two | Topics 07, 22 |
| Delivery PM without AI literacy | Gan charts exist; eval gates and model risk missing | Topics 25, 21, 22 |
| Presales engineer without ops realism | Beautiful demos; no SLOs or support model | Topics 29, 32 |
Entry criteria
Start Stage 5 when all of the following are true:
- A validated use case exists from Stage 1–2 (problem statement, hypothesis supported, opportunity scored)—see AI Opportunity Discovery.
- Technical feasibility is credible (data access, integration path, eval approach)—see Stage 2–4 topics.
- A sponsor and budget line (or RFP path) is identifiable—even if not yet signed.
- You can name the primary user, success metric, and decision body for phase one.
Do not enter Stage 5 when discovery still produces tool-shaped requirements without outcome metrics, or when compliance has not seen a DPIA/risk summary for the intended pattern.
Exit criteria
Declare Stage 5 complete when all exit checks pass:
Artefacts (minimum set)
| Artefact | Source topic | Pass test |
|---|---|---|
| PRD + MVP scope + backlog | 06 | In/out explicit; linked to discovery; adoption metrics defined |
| Business case / TCO model | 07 | Year-1 and year-3 TCO; sensitivity; cashable vs non-cashable benefits |
| FinOps / performance budget | 22 | Cost per successful task; p95 latency; optimisation backlog |
| UX flows + trust patterns | 23 | Override, uncertainty, escalation documented |
| Programme plan + RAID | 25 | Gates align with 8D; dependencies named |
| Change and adoption plan | 26 | Champions, training, comms, resistance map |
| Proposal / SOW or RFP response | 29–30 | Assumptions, exclusions, SLAs, exit clauses |
| Vendor scorecard (if buy) | 31 | Weighted criteria; not demo-led |
| Runbook + support model | 32 | On-call, incident severity, model rollback |
Knowledge checks
- Answer ≥12/15 questions from topics 06, 07, and 22 without notes.
- Explain one negative case from Stage 5 using a sector-relevant example (run-rate shock, adoption failure, or procurement trap).
- Walk a 60-second executive story: problem, MVP, economics, risks, next gate.
Behavioural checks
- You have not committed to fixed-price delivery without sensitivity on token volume and human review load.
- A peer confirms artefacts are filed in your pattern library with sector tag and date.
Capability map
Stage 5 spans eleven numbered topics across product, economics, performance, experience, delivery, change, commercial, and operations. Use this map to see dependencies—not as a waterfall reading order only.
Core thread: Product (06) defines what and how we measure; Commercial (07) defines whether we fund; FinOps (22) defines whether we can afford to run; UX (23) defines whether humans trust it; Delivery (25) defines how we ship on time; Change (26) defines whether anyone uses it; Presales/RFP/Vendor (29–31) define how we sell and buy; Ops (32) defines how it stays alive.
Topics in this stage
Product and economics (build the right thing, fund it honestly)
| # | Topic | You leave knowing |
|---|---|---|
| 6 | Product Management | Discovery → backlog, PRDs, prioritisation, MVP vs platform, adoption metrics |
| 7 | Commercial and Financial Modelling | Business cases, TCO, ROI, sensitivity, pricing models, benefits realisation |
Pair with Business case and prioritisation and AI Product Management roadmap when moving from learning to client work.
Performance and experience (run it affordably; humans stay in control)
| # | Topic | You leave knowing |
|---|---|---|
| 22 | Performance Engineering and AI FinOps | TTFT, caching, batching, cost per successful task, capacity planning |
| 23 | User Experience and Human Factors | Trust, uncertainty, override, accessibility, error recovery |
Pair with Model FinOps roadmap and AI FinOps and Commercial Design.
Delivery and adoption (ship with gates; usage sticks)
| # | Topic | You leave knowing |
|---|---|---|
| 25 | Delivery and Programme Management | Plans, RAID, dependencies, quality gates—see also Project Management (PMBOK® study map) |
| 26 | Change Management and Adoption | Stakeholders, training, resistance, benefits tracking |
Pair with Adoption guide and Delivery guide.
Commercial motion and operations (win work, run production)
| # | Topic | You leave knowing |
|---|---|---|
| 29 | Presales and Solution Shaping | Discovery in sales cycle, demos, POC boundaries, win themes |
| 30 | RFP, Procurement and Contracting | Compliance, SLAs, liability, IP, model change clauses |
| 31 | Vendor and Technology Evaluation | Scorecards, PoC discipline, exit strategy |
| 32 | Operations and Production Support | SLOs, incidents, drift, cost alerts, retirement |
Recommended study paths
Path A: Product-led delivery (internal platform team)
Focus: Backlog hygiene, adoption metrics, unit economics before feature breadth.
Path B: Consulting / SI delivery (client-funded programme)
Focus: Business case defensibility, contract assumptions, vendor-neutral evaluation.
Path C: FinOps and scale rescue (post-pilot run-rate crisis)
- Performance FinOps → Commercial
- Product (scope reduction) → Ops
Focus: Cost per successful task, caching, routing, capacity—then re-baseline business case.
Stage 5 gates (align with 8D)
Map Stage 5 artefacts to 8D Framework gates:
| Gate | Stage 5 evidence | Common failure |
|---|---|---|
| Fund / commit | Business case (07), pricing model, sensitivity | Pilot cost extrapolated linearly to production volume |
| Design sign-off | PRD (06), UX trust flows (23), FinOps budget (22) | No human override path; no latency budget |
| Build complete | Backlog done for MVP; eval green on golden set (21) | Feature creep; demo dataset only |
| Pilot exit | Adoption metrics (06, 26), cost per task (22), benefits baseline (07) | "Go live" without usage or run-rate sign-off |
| Operate | Runbook (32), alerts, chargeback/showback (22, 07) | No owner for model version drift |
Real-world scenario: pilot to production (cross-topic)
A European insurer completes a 12-week claims summarisation pilot: 340 adjusters use the tool weekly; 62% active usage; average 4.2 minutes saved per complex claim on sample QA. Steering asks for EU-wide rollout to 2,400 adjusters.
Product (06): PRD v2 adds multilingual corpus, batch upload for legacy scans, and explicit "not for coverage decision" scope. MVP vs platform: phase one stays summarisation + citation; phase two structured extraction only after eval ≥90% on top 15 loss types.
Commercial (07): Year-1 TCO €2.8M (API €420K, human QA review €1.1M, integration €680K, change €380K, contingency €220K). Benefits: €3.6M productivity (cashable with union agreement); sensitivity: breaks if active usage <45% or review rate >35%.
FinOps (22): Pilot averaged €0.18/request; production projection €0.11 after semantic cache on repeat clauses, batching nightly bulk jobs, and routing simple FNOL to 7B regional model. p95 TTFT target 2.8s for interactive; batch SLA 4 hours.
Change (26): Union requires opt-in teams first; champion network in 6 regional hubs; training tied to QA scorecard not "AI magic."
Outcome: Phased rollout approved with FinOps dashboard and monthly benefits review—not big-bang on press release timeline.
Negative cases at stage level
Demo-to-contract gap. Presales demo uses curated data; RFP assumes general availability. Fix: POC acceptance criteria tied to client goldens (29, 31).
Run-rate surprise. Year-one business case used pilot token counts; production adds agent loops and logging. Fix: FinOps model with percentiles and step caps (22, 07).
Adoption cliff. Go-live without change plan; usage drops after week four. Fix: adoption metrics in PRD (06, 26).
UX trust failure. Users disable tool after one confident wrong answer. Fix: uncertainty UX and mandatory citations (23).
Vendor lock-in without exit. Contract silent on model change and data export. Fix: RFP clauses and scorecard exit criteria (30, 31).
Programme without gates. Agile velocity with no eval or compliance gate. Fix: 25 + 21 + 19 aligned milestones.
Related playbook content
- Business case and prioritisation — structure benefits, scenarios, approval narrative
- AI FinOps and Commercial Design — chargeback, pricing, run-rate governance
- Model FinOps roadmap — cost engineering career path
- Adoption guide — change, training, usage measurement
- Delivery guide — programme patterns for AI engagements
- 8D Framework — stage gates from Define through Operate
- How to use this Learning Map — study loop and artefact standards
- Trust and control — prerequisite governance and eval
- Leadership — next stage after delivery mastery
Stage 5 exit checklist
- I can explain the thread from backlog → business case → FinOps budget → ops runbook
- PRD and MVP scope are signed; platform ambitions are explicitly phased
- TCO includes human review, eval, and change—not API tokens alone
- Cost per successful task and p95 latency have targets and owners
- Change plan names champions, resistance, and adoption metrics
- Contract or SOW assumptions match FinOps and eval reality
- I completed deep study on topics 06, 07, and 22 at minimum
- Artefacts filed in pattern library with sector tag
Discussion
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