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AI Assurance Review

Determine whether AI-assisted work is sufficiently supported, controlled, and ready to accept.

Clover products in this capability
Mission Execution Engine (MEE)ACOSAssurance guides & checklists
The need

AI-assisted work is already being produced, but the organization needs confidence that the process, evidence, and result are defensible.

What Clover provides

A defined engagement for a recognizable business need.

Clover defines assurance criteria, inventories available evidence, evaluates the work and its controls, performs independent checks, and makes remaining uncertainty visible. Consequential acceptance remains a human responsibility.

When this fits

Use this offering when…

A consequential AI-produced report or analysis is nearing approval.
Leaders cannot tell whether existing review is consistent or sufficient.
An AI workflow needs an independent evaluation before broader use.
Evidence and acceptance decisions need to be preserved on the record.
How the work unfolds

Practical steps, visible throughout.

01

Define assurance scope, criteria, and material risks

02

Inventory evidence and trace important claims

03

Evaluate outputs, process controls, and review history

04

Perform independent verification where appropriate

05

Document gaps, uncertainty, and remediation needs

06

Support accountable human acceptance or rejection

What you receive

Tangible artifacts your organization can use.

01

Assurance scope and criteria

02

Evidence inventory

03

Output evaluation

04

Control-gap assessment

05

Independent verification results

06

Remediation recommendations

07

Human-acceptance record

Designed outcome

What becomes possible afterward.

A clearer basis for trusting—or challenging—the work
Visible evidence and unresolved uncertainty
Consistent acceptance criteria for future work
A reviewable record of consequential decisions