AI Adoption Assessment

Move From Isolated AI Experiments To Governed, Scalable Adoption

Measure your organisation's AI maturity across strategy, governance, workforce, engineering, platforms and autonomous agent operations. Receive an evidence-based maturity score, prioritised recommendations and a practical implementation roadmap.

Discover → Assess → Verify → Benchmark → Prioritise → Implement
AI Discovery & Value Mapping
Rapid Prototyping & Proof of Value
Human + Agent Experience Design
Enterprise Workflow & Systems Integration

AI adoption rarely stands alone. It usually follows legacy modernisation and a move to cloud, depends on a trusted data foundation, and — once models are designed — leads into MLOps to take them to production. We assess, design and plan today; implementation is where humans and our agents work together.

Business challenges

The challenges we solve

Unsure where AI actually helps
Use cases that don't survive contact with reality
Governance and risk concerns
Data not ready
Unclear business value
Pilots that never reach production
Services

How we help

AI Discovery & Value Mapping

Our discovery agents analyse your estate, processes and data to surface and score high-value use cases — your teams validate the priorities and value hypotheses at a review gate before anything proceeds.

Rapid Prototyping & Proof of Value

Agents build working prototypes against real data to test feasibility fast; humans judge desirability and viability, deciding what earns a place on the roadmap.

Human + Agent Experience Design

We design the interfaces, agent behaviours and guardrails — including exactly where a person reviews, approves, overrides or takes over — so the solution is trusted and adopted.

Enterprise Workflow & Systems Integration

Agents connect data sources, tools and APIs and orchestrate multi-step workflows inside your existing architecture and security model, with human sign-off at each integration gate.

AI Governance, Trust & Optimisation

Continuous controls, monitoring and evaluation keep AI safe and improving; your people review risk, cost and model behaviour on an ongoing human-in-the-loop cycle.

Scaling & the Enterprise AI Operating Model

We stand up the operating model, roles and reusable patterns that let AI run reliably at scale — with human accountability designed into how it is owned, governed and run.

Maturity model

Six levels of AI maturity

An evidence-driven maturity model — not a lightweight quiz. Maturity accounts for governance, security, evidence and human accountability, not agent count.

L0
Restricted
L1
Assisted
L2
Parallel
L3
Orchestrated
L4
Fleet
L5
Adaptive Enterprise
Assessment domains

What we assess

Your AI maturity is measured across these domains — from strategy and governance to autonomous agent operations.

Strategy & Executive Leadership
Governance & Responsible AI
Security & Identity
AI Platform & Model Management
Data Readiness
Knowledge & Context Access
Workforce Adoption & Skills
Developer Experience
Engineering Automation
Agent Operations
Verification & Quality
Delivery Performance
Business Process Adoption
Value & Economics
Risk & Operational Resilience
Deliverables

What you receive

Real, governed artefacts — not slideware.

Executive Maturity Report
Domain Scorecard
Risk & Control Findings
Recommendation Register
AI Run-Cost & Value Model
AI Security & Guardrail Findings
12-Month Roadmap
Implementation Backlog
Reassessment Baseline
Business outcomes

The outcomes we deliver

An evidence-based maturity score
Domain-by-domain gap analysis
Prioritised recommendations
A practical AI adoption roadmap
A clear view of what running AI will cost
A baseline to measure improvement over time
Example engagement

How a typical engagement flows

DiscoverAssessVerifyBenchmarkPrioritiseImplement
Related accelerators

Accelerators & blueprints

AI Maturity ModelResponsible AI ControlsAI Operating Model Blueprint

Start with an assessment — get a real AI plan.