Practitioner Resources
Resources
Frameworks, playbooks, checklists, reference architectures and toolkits, published as the practice develops them.
The ADGL Methodology
The full AI Deployment Governance Lifecycle (ADGL) methodology: five phases, eighteen operational controls, risk scoring, RACI and a twelve-week delivery schedule, for governing an AI deployment before it reaches production.
Executive Capability Overview
A concise overview of AI for U&I's advisory approach, governance methodology, engagement models, and practitioner experience for executive decision makers.
AI Governance Maturity Framework
Assess where AI governance actually stands, across ownership, risk evaluation and assurance, built on the OPERA methodology.
AI Governance Decision Playbook
Use-case risk evaluation, escalation triggers and sign-off criteria for the decisions AI governance actually requires.
Third-Party Risk Assessment Checklist
Assess vendor risk proportional to criticality and data access, from onboarding through ongoing monitoring.
DPDP Readiness Briefing
India's Digital Personal Data Protection Act, framed around the governance decisions it actually requires.
DPDP Compliance Toolkit
Data processing inventory, consent mapping and accountability structure templates for DPDP compliance.
Governance Operating Model Template
Document decision rights, ownership and escalation paths for a governance operating model redesign.
Technology Risk Whitepaper
Building risk appetite statements and control ownership models that hold up under audit.
Discuss a governance challenge
Most engagements begin with a working conversation about a specific problem, not a formal proposal.