The world's first AI Maturity Accelerator — compliant with ISO/IEC 42001:2023.
The AI Maturity Accelerator assesses your organisation's AI readiness, scores it, and returns a clear road map. Compliant with ISO/IEC 42001:2023 and aligned with OECD, OWASP, UNESCO RAM, the UN SDGs, Stanford HAI, Oxford Insights, the Global AI Index, SIRI, the WEF and ITU — and the only accredited framework for the Global AI Award.
The only accredited framework for the Global AI Award — and the main framework behind it.
Before AIMA, and after.
AIMA scores your organisation out of 10 across three levels — turning fragmented AI capability into a transformational culture. Pick a level and switch between before and after.
Latest McKinsey & Gartner studies
You don't want to be in that 70%. AIMA de-risks your AI initiative from the start — which is why it's a must.
AI is core to how the organisation plans, decides and competes.
A transformational culture — aligned strategy and mature enablers that guarantee the success of your AI initiative and an immense return on investment.
AIMA assesses an organisation's AI readiness across strategy, services and tools, then returns tailored recommendations and a clear road map. It places an organisation at one of three levels of maturity. Each pillar and enabler is scored out of 10.
Assess
Certified AIMA Assessors evaluate your organisation across strategy, services and tools using an AI- and ML-driven diagnostic.
Score
AIMA scores each pillar and enabler out of 10 and places the organisation at one of three maturity levels.
Road map
You receive tailored recommendations and a clear road map for embedding AI and future-management tools into your culture.
Certify
Receive an international certification of your organisation's AI maturity level — recognised proof of where you stand and how far you've come.
A dedicated maturity dimension for agentic systems.
Every AIMA engagement also scores the organisation’s readiness for agentic AI and multi-agent/swarm systems — additive to the core maturity score, across six dimensions informed by MIT CISR, Forrester, Salesforce, Microsoft, MuleSoft, Deloitte, CNA, Oxford Insights and Gartner’s published agentic-AI research.
Agent Orchestration & Governance
How agentic workflows are designed, coordinated, and governed — from a single assistant to a fleet of specialised agents working under a defined control plane.
Gartner — AI agent orchestration maturity curve · Microsoft — Copilot/agent maturity model · MuleSoft — API-led agent integration patterns
Multi-Agent / Swarm Architecture Maturity
Technical readiness for multi-agent and swarm-style systems — task decomposition, inter-agent communication, and coordination patterns beyond a single-agent assistant.
MIT CISR — future-ready/agentic operating-model research · Forrester — agentic AI maturity criteria · Dextra Labs — swarm/multi-agent architecture patterns
Human-AI Collaboration Model
How clearly the organisation has defined where agents act autonomously versus where a human remains in or on the loop.
Salesforce — Agentforce trust & autonomy guidance · Deloitte — State of Generative AI (agentic enterprise) research
Agentic Risk & Guardrails
Technical and policy guardrails against agent misbehaviour — prompt injection, tool misuse, runaway task loops, and unintended actions.
CNA — AI governance & risk lens · Gartner — AI TRiSM (trust, risk, security management)
Agentic ROI & Value Realization
Whether agentic initiatives are tied to measured business outcomes, not just technical pilots.
Forrester — agentic AI value realization criteria · Oxford Insights — government AI readiness index (outcomes lens)
Agentic Talent & Skills
Whether the organisation has the in-house capability to design, deploy, and operate agentic systems responsibly.
MIT CISR — digital talent research · Microsoft — AI skilling maturity guidance
The organisation is still exploring what agentic AI and swarm intelligence could mean for its operations — no coordinated multi-agent workflow is in production yet. Priority: define one well-scoped pilot with a human-in-the-loop and clear guardrails before scaling.
The organisation has begun piloting individual agents on discrete tasks, but orchestration, governance, and ROI tracking are still forming. Priority: formalise governance ownership and start measuring value on the pilots already running.
Multiple agents are coordinated on real workflows with defined guardrails, and value is being measured. Priority: invest in swarm-level orchestration infrastructure and expand the talent base to sustain scale.
The organisation runs a mature, governed multi-agent/swarm architecture with measured ROI and a trained team. Priority: continuously stress-test guardrails and explore higher-autonomy use cases as trust is earned.
Sample report excerpt — client identity withheld for confidentiality
Agentic Systems & Swarm Intelligence
The organisation has begun piloting individual agents on discrete tasks, but orchestration, governance, and ROI tracking are still forming. Priority: formalise governance ownership and start measuring value on the pilots already running.
Real output from a completed IAIDL AIMA Assessor engagement — reproduced here with the client organisation’s name withheld.
Every report is benchmarked against named governance standards.
Alongside the maturity score, every AIMA report compares the organisation’s scored results against the governance frameworks that matter for AI accountability today — flagging strong alignment, partial alignment, or a genuine gap for each.
Benchmarked against the world’s AI frameworks.
Compliant with ISO/IEC 42001:2023 and aligned with the world's leading AI maturity, readiness and index frameworks — OECD AI, OWASP, UNESCO AI Readiness (RAM), the UN SDGs, Stanford HAI, Oxford Insights, the Tortoise Global AI Index, the Smart Industry Readiness Index (SIRI), the World Economic Forum and ITU.
The booklet
Become an AIMA Assessor
The AIMA Assessor credential certifies you to deliver organisational AIMA assessments — a 3-day programme plus exam.