The SAFE-AI Framework
A four-stage progression (ASSI) with an orthogonal continuous Evolve Layer, built for businesses with 5 to 500 employees.
ASSI — Assess, Strategise, Secure, Implement
ASSI is the four-stage progression at the core of the SAFE-AI Framework: Assess → Strategise → Secure → Implement. The order is deliberate — security-first sequencing places governance (Secure) before deployment (Implement). Most AI engagements treat security as a compliance checkbox after tools are live; SAFE-AI makes it a prerequisite, structurally preventing “deploy first, govern later” patterns.
Assess
Objectives
- Understand what AI tools are already in use across the organisation — including shadow AI adopted without formal oversight
- Establish the current maturity of your data practices, security posture, and regulatory position
- Create a diagnostic baseline that grounds all subsequent strategy in evidence, not assumptions
Key Activities
- Stakeholder interviews across IT, operations, leadership, and customer-facing functions
- Shadow AI discovery — identifying tools in use that may not have been formally approved
- Data maturity and infrastructure review against structured criteria
Deliverable
AI Readiness Assessment Report
Sections include: Shadow AI Register, Data Maturity Scorecard, Regulatory Obligations Map, Risk Register (baseline). Full artefact structure is produced during the Assessment engagement.
Strategise
Objectives
- Align AI adoption to measurable business goals — not technology for its own sake
- Identify and prioritise high-value AI use cases based on impact, feasibility, and organisational readiness
- Build a realistic roadmap that accounts for your actual data maturity and resource capacity
Key Activities
- Use case identification and prioritisation workshops with key stakeholders
- AI readiness gap analysis — identifying prerequisites that must be addressed before deployment
- Roadmap development with 30/60/90-day planning horizons
Deliverable
AI Strategy Roadmap
Sections include: AI Vision Statement, Prioritised Use Case Matrix, 30/60/90-Day Plan. Full artefact structure is produced during the Assessment engagement.
Secure
Objectives
- Establish governance policies and data classification before any AI tools are deployed
- Create vendor evaluation criteria that protect your data and meet regulatory requirements
- Build the security foundation that de-risks everything that follows in the Implement stage
Key Activities
- AI acceptable use policy development tailored to your organisation
- Data classification and access control framework design
- Vendor and tool evaluation against governance criteria
Deliverable
AI Governance Policy Pack
Sections include: Acceptable Use Policy, Data Classification Matrix, Compliance Mapping Matrix. Full artefact structure is produced during the Assessment engagement.
Implement
Objectives
- Deploy AI tools through managed pilots with clear success metrics defined before launch
- Integrate AI into existing workflows with staff training and change management support
- Demonstrate measurable value from controlled, governed AI deployment
Key Activities
- Pilot project design with defined scope, success criteria, and rollback plans
- Tool deployment with governance guardrails established in the Secure stage
- Staff training and adoption support to ensure tools are actually used
Deliverable
Implementation Playbook
Sections include: Pilot Project Charter, Tool Evaluation Scorecard, Pilot Results Dashboard. Full artefact structure is produced during the Assessment engagement.
THE EVOLVE LAYER · CONTINUOUS
Orthogonal to ASSI. Activates from Assess. Runs for the life of the engagement.
Activates from Assess
Baseline measurement, maturity scoring, initial risk monitoring
Activates from Strategise
Technology watch, capability tracking, market monitoring
Activates from Secure
Regulatory monitoring, compliance drift detection, governance review cadence
Activates from Implement
Performance measurement, scaling decisions, optimisation, re-assessment triggers
See how this progression applies to your organisation.
Book a discovery callFour Dimensions of Adaptation
SAFE-AI adapts along four dimensions so the guidance an organisation receives fits its actual context — not a generic template.
| Dimension | What it means | Example |
|---|---|---|
| Organisation | Guidance adapts by function and role | IT gets technical guidance; HR gets policy and training guidance |
| Location | Guidance adapts by country and jurisdiction | UK GDPR differs from UAE PDPL and Singapore PDPA |
| Industry | Guidance adapts by vertical sector | Telco operators face NOC automation considerations that a professional services firm does not |
| Size | Guidance adapts by business scale | A 10-person firm needs a lightweight policy; a 300-person operator needs formal governance boards |
- Organisation
- Guidance adapts by function and role — IT gets technical guidance; HR gets policy and training guidance
- Location
- Guidance adapts by country and jurisdiction — UK GDPR differs from UAE PDPL and Singapore PDPA
- Industry
- Guidance adapts by vertical sector — Telco operators face NOC automation considerations that a professional services firm does not
- Size
- Guidance adapts by business scale — A 10-person firm needs a lightweight policy; a 300-person operator needs formal governance boards
Full adaptation playbooks are produced during the Assessment engagement.
Cross-Framework Alignment
SAFE-AI aligns stage-by-stage with the enterprise standards your auditors, risk committees, and regulators already recognise.
| SAFE-AI Stage | Framework | Mapping point |
|---|---|---|
| Assess | NIST AI RMF | Govern function — establishing AI governance structure and risk context |
| Strategise | TOGAF ADM | Phase B: Business Architecture — defining target capabilities and AI use case roadmap |
| Secure | ISO 42001:2023 | Clause 8.2: AI risk assessment — evaluating risks before deployment |
- Assess · NIST AI RMF
- Govern function — establishing AI governance structure and risk context
- Strategise · TOGAF ADM
- Phase B: Business Architecture — defining target capabilities and AI use case roadmap
- Secure · ISO 42001:2023
- Clause 8.2: AI risk assessment — evaluating risks before deployment
Full mapping matrix (TOGAF / NIST AI RMF / ISO 42001 / COBIT / ITIL) is produced during the Assessment engagement.