AIMS Design. Your AI governance framework, built to certify.
The AI Management System design phase is where your governance framework takes shape. We design the policies, risk methodology, impact assessment procedures, and governance structure that will underpin your ISO 42001 certification and your ongoing AI governance programme.
Six design deliverables. One complete AIMS.
AI Policy Suite
A complete set of AI policies covering responsible AI principles, acceptable use, data governance, model risk, and human oversight, written for your organisation and sector.
AI Risk Assessment Methodology
A documented risk assessment process tailored to AI-specific risks including bias, opacity, safety, and societal impact, aligned to ISO 42001 Annex A controls.
AI Impact Assessment Procedure
A structured procedure for assessing the potential impact of AI systems on individuals and groups before deployment, satisfying ISO 42001 clause 8.4 requirements.
Data Governance Framework
Controls and procedures covering training data quality, data provenance, bias detection, and ongoing data management for AI systems in scope.
Transparency and Explainability Framework
Documented mechanisms for explaining AI decisions to affected parties, communicating AI use in your products, and satisfying transparency obligations.
Governance Structure Design
Definition of AI governance roles, responsibilities, and escalation paths, including the AI governance committee structure and reporting lines to your board.
From requirements to signed-off framework. Six structured steps.
Requirements Consolidation
We consolidate findings from the gap analysis and AI inventory to define the full set of AIMS documentation and controls required for your organisation.
Policy Framework Design
We design your AI policy suite, drawing on your existing management system documentation where applicable to avoid duplication.
Risk Methodology Development
We develop your AI risk assessment methodology, calibrated to the types of AI systems in your inventory and the risk appetite of your organisation.
Governance Structure Definition
We define the governance roles, committees, and reporting structures needed to operate your AIMS effectively after certification.
Documentation Drafting
We draft all required AIMS documentation in the format required by your certification body, ready for review and approval by your team.
AIMS Design Sign-off
We present the completed AIMS design to your leadership team, incorporate feedback, and prepare the documentation package for control implementation.
Governance frameworks designed for real organisations. Across the UK.
AI product company AIMS design
A UK AI product company needed an AIMS that covered both their internal AI use and the AI systems embedded in their products. We designed a dual-scope AIMS that satisfied ISO 42001 requirements for both contexts without creating unnecessary duplication.
Clinical AI governance framework
A healthcare technology company deploying AI in clinical settings needed an AIMS that aligned with both ISO 42001 and NHS AI governance expectations. We designed a framework that satisfied both sets of requirements from a single documentation set.
FCA-aligned AI governance design
A UK financial services firm needed an AIMS that mapped to FCA model risk management expectations as well as ISO 42001. We designed a governance framework that addressed both regulatory contexts, reducing the compliance burden on their risk team.
Build an AI governance framework that certifies. Talk to our AIMS design team.
Our AIMS design service delivers a complete, certification-ready AI Management System framework in six weeks. Every document is written for your organisation, your sector, and your certification body.