The Shift Framework
From AI ambition to production, in five disciplined stages.
Stage labels, deliverables and exit criteria are public. Every engagement is auditable from day one. You can defend the roll-out to your board.
Framework overview
Five stages, one path to production.
Each stage has a defined artefact and an explicit exit criterion. No ambiguity about what you receive, or when we're ready to advance.
Discover
Map goals, pain points, data realities, constraints, and candidate AI opportunities.
AI Readiness MemoDefine
Prioritise use cases, quantified success criteria, risk constraints, and engagement scope.
Use Case BriefDesign
Reference architecture on OCI, governance and audit posture, integration plan, pilot exit criteria.
Reference ArchitectureDeliver
Controlled pilot in production setting with pre-agreed exit gates, then phased roll-out.
Pilot ScorecardDrive
Production roll-out, adoption tracking, continuous evaluation, outcome measurement against KPIs.
Adoption DashboardStage by stage
What you receive at every stage.
Deliverables, artefacts, and exit criteria. Written before we start, not during the wash-up.
Discover
Business goals, pain points, data realities, AI opportunities.
Deliverables- Stakeholder interviews
- Data and tooling audit
- AI use-case longlist
- AI Readiness Memo
Define
Use cases, success metrics, risk constraints, scope.
Deliverables- Prioritised use cases
- Quantified success criteria
- Risk and compliance constraints
- Engagement scope
Design
Architecture, governance, UX, integration plan.
Deliverables- Reference architecture on OCI
- Governance and audit posture
- Integration plan with existing systems
- Pilot exit criteria
Deliver
Controlled pilot with clear success criteria, then phased roll-out.
Deliverables- Controlled pilot in production setting
- Pre-agreed pilot exit gates
- Pilot scorecard against success metrics
- Phased roll-out to enterprise workflows
Pilot exit criteria — go / no-go before any production roll-out.
Drive
Move from pilot to full production, then adoption, optimisation, measurement.
Deliverables- Production roll-out across teams
- Adoption tracking and enablement
- Continuous evaluation and tuning
- Outcome measurement against KPIs
Service pillars
Four pillars across the five stages.
Strategy, design, delivery and operate, engaged where they actually move work into production. Not where they decorate a deck.
AI Strategy & Readiness
From AI ambition to a concrete, defensible plan: use cases, success metrics, risk posture.
- Discover
- Define
Solution Design & Architecture
Reference architectures on OCI with governance, integration and audit baked in from day one.
- Define
- Design
Implementation & Deployment
Controlled pilots with pre-agreed exit criteria, then phased production roll-out.
- Design
- Deliver
Adoption, Optimisation & Operate
Move from pilot to full production, then adoption, optimisation, and continuous measurement.
- Deliver
- Drive
Why this matters
The model is rarely the problem.
Most enterprise AI initiatives stall not because the model is wrong, but because governance, integration and roll-out were never engineered.
The Shift Framework is our answer: a methodology with explicit success criteria and pilot exit gates, published so you can audit it before you sign anything.
Plan your production AI path.
Book the AI Readiness Call to walk through the framework against your environment. Thirty focused minutes, written summary, no pitch deck.