AIMS CAPABILITY BUILD & SUPPORT
AISTA® BUILD
MAKE IT WORK IN PRACTICE
Design and strengthen the governance, processes, controls and evidence that make your AI Management System work in practice — not just on paper.
Scope
DESIGN. IMPLEMENT. INTEGRATE.
AIMS Architecture & Operating Model
Design how the management system will operate and connect with existing governance, risk and delivery arrangements.
Governance & Decision Rights
Establish clear accountability, authority, escalation and oversight for AI-related decisions.
Risk & Lifecycle Integration
Integrate AI risk management throughout the lifecycle, from initial intake to change and retirement.
Organisation, Roles & Resourcing
Define the functions, teams, roles and capacity needed to operate the AIMS, assigning responsibilities to appropriately skilled people.
Policies, Processes & Controls
Put proportionate requirements and workable controls into the way AI is governed and delivered.
Evidence & Traceability
Build evidence capture and traceability into the work itself, rather than reconstructing them afterwards.
Approach
HOW BUILD WORKS
Set the Target
We agree on what the AIMS needs to cover, the outcomes it must achieve and the extent of governance and control, commensurate with your operating context and risk level.
Design the System
We design the governance structures, policies, controls and decision points with your people.
Build the Evidence Model
We define what good evidence looks like and how it will be produced through the normal operation of the AIMS.
Embed and Enable
We support adoption directly through walkthroughs, training and working alongside your teams.
Initiate Transition
We equip your teams with the artefacts, know-how and maintenance rhythm required to take ownership and begin operating the capability independently.
Outputs
BUILT TO OPERATE. READY TO AUDIT.
AIMS Foundation
- AIMS Scope
- AI System Inventory
- Stakeholder Requirements
- AI Policy
- Governance Model
- Decision Rights
Risk & Controls
- AI Risk Methodology
- AI Risk Register
- AI Impact Assessments
- Statement of Applicability
- Risk Treatment Plan
- Residual Risk Acceptance
- Supplier & Third-Party Controls
Operate & Improve
- Process Architecture
- Control Library
- Evidence Model
- Traceability Map
- AI Training Plan
- Monitoring Plan
- Audit & Review Programme
WHEN TO USE BUILD
WHEN AI AMBITION OUTPACES CONTROL
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ASSESS
Know where you stand with TAL's Pre-Audit AI Management System (AIMS) Assessment.
ISO/IEC 42001 Readiness · Governance & Controls · Evidence Review · Annex A Gap Analysis · Lifecycle Readiness · Remediation Roadmap
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PROVE
Independently assess conformity with TAL's AI Management System (AIMS) Audit.
ISO/IEC 42001 Conformity · Evidence Sampling · Lifecycle Traceability · Non-Conformance Findings · Prioritised Improvement Schedule
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AISTA® FORMATION
Establish the AI Assurance Function for tactical engagements or at strategic portfolio and enterprise levels.
Formation Decision · Assurance Mandate · Governance Integration · Risk Signal Flow · Roles & Capability · Tooling & Readiness
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YOUR NEXT MOVE
Make It Real — Make It Stick
Turn intent into a working AI Management System your teams can operate, and your auditors can follow.
Contact Us
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124 City Road, Suite G4005, London, EC1V 2NX
Hours
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