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AI Maturity Assessment

We helps you understand how ready your organization is to adopt, govern, and scale AI. Our evidence-based assessment identifies where your capabilities are strong, which gaps need attention, and what to prioritize as you move from pilots to production.

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An AI Maturity Assessment shows how well your organization can select valuable AI use cases, manage their risks, and sustain them in day-to-day operations. GSS assesses six areas: strategy and business value, governance and accountability, data readiness, technology and lifecycle management, risk and assurance, and workforce capability.

We review how your organization manages AI across the enterprise and examine selected use cases to see how those practices work in practice. For example, we check whether a use case has a named owner, whether the team evaluated it before deployment, and whether anyone monitors its performance once it goes live.

The GSS Integrated AI Maturity Model draws on CMMI AIM for capability maturity, ISO/IEC 42001 for AI management system requirements, NIST AI RMF for AI risk management, and the MIT CISR Enterprise AI Maturity Model for AI adoption and business value. The assessment gives leadership a clear view of current and target maturity by capability, along with a roadmap that prioritizes actions by business value, risk exposure, and implementation effort.

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What we do

  • Define the assessment scope. Agree on business objectives, functions in scope, and representative AI use cases. Where relevant, include internal solutions, third-party tools, and AI features embedded in business applications.
  • Review evidence and interview key teams. Speak with business, technology, data, risk, and compliance teams. Review AI inventories, policies, approval records, evaluation results, and monitoring reports.
  • Assess current maturity. Rate each capability using defined criteria and document the evidence supporting each rating. Highlight critical gaps separately so leadership can see where action is urgent.
  • Set target maturity. Agree on the capabilities each function or business unit needs to support its AI plans and manage its level of risk.
  • Build a prioritized roadmap. Identify immediate actions and longer-term improvements, assign proposed owners, and define milestones and measures to track progress.

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Frequently Asked Questions

It measures how consistently your organization can select, approve, deploy, monitor, and improve AI use cases. It also looks at whether teams have the data, skills, controls, and accountability to scale AI and demonstrate business value.

Yes. At an early stage, the assessment can focus on use-case selection, data readiness, ownership, and the controls needed before deployment. Where AI is already in production, it can also review monitoring, incident response, and benefits tracking.

Yes, where they are in scope. We can assess generative AI tools, vendor platforms, and AI features embedded in business applications. We review how teams approve their use, assess suppliers, manage data, and monitor performance.

Yes. When included in scope, we map findings to ISO/IEC 42001 requirements and identify gaps in your AI management system. The GSS maturity score and certification readiness findings are separate outputs. Certification requires a separate audit by a certification body.

Depending on scope, you receive an executive summary, an evidence-based maturity scorecard, a gap analysis, and a phased improvement roadmap. These show where to act first, who should own each action, and how to track progress.

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