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AI Governance Operating Model

Translate AI principles and policy into repeatable decisions, controls, and records.

Clover products in this capability
ACOSGovernance templatesEvidence & review toolkits
The need

Your organization has AI principles or policy, but teams still lack a practical way to classify, review, approve, and monitor AI use.

What Clover provides

A defined engagement for a recognizable business need.

Clover turns governance intent into operational practice. The engagement defines decision rights, risk tiers, evidence expectations, approval gates, exception paths, and the records required to make governance consistent and usable.

When this fits

Use this offering when…

Policy exists, but teams do not know what to do differently.
AI initiatives are reviewed inconsistently across the organization.
Decision rights and escalation paths are unclear.
Governance is seen as a final checkpoint instead of part of workflow design.
How the work unfolds

Practical steps, visible throughout.

01

Translate principles into operational requirements

02

Define risk tiers and proportional review paths

03

Assign governance roles and decision rights

04

Design evidence, approval, exception, and escalation workflows

05

Create practical templates and decision records

06

Connect governance to delivery and continuous improvement

What you receive

Tangible artifacts your organization can use.

01

Governance operating model

02

Role and decision-rights map

03

Risk-tiering framework

04

Review and approval gates

05

Evidence requirements

06

Exception and escalation process

07

Governance templates and records

Designed outcome

What becomes possible afterward.

Policy that changes how work is actually performed
More consistent and proportional review
Faster decisions because responsibilities are clear
An accountable record of governance activity