AI Assurance Readiness Review
Independent confidence for boards, audit committees, and management.
An independent examination of whether your AI systems are governed, secure, auditable, validated, monitored, and aligned with business objectives.
Enthusiasm is not assurance.
As AI becomes part of finance, compliance, customer service, operations, cybersecurity, HR, procurement, and executive decision-making, organizations need more than innovation enthusiasm. They need assurance.
Dawgen Global’s AI Assurance Readiness Review helps organizations determine whether AI systems are governed, secure, auditable, validated, monitored, and aligned with business objectives.
WHERE ASSURANCE IS NOW EXPECTED
ONCE AI REACHES THESE FUNCTIONS, THE QUESTION STOPS BEING WHETHER IT WORKS AND BECOMES WHETHER IT CAN BE EVIDENCED TYPICAL
3 to 6 weeks
Interviews, review & control testing
Readiness report & board presentation
Seven questions the board is entitled to have answered
Assurance is not the same as confidence. Confidence is what management feels. Assurance is what an independent party can evidence.
Do we know where AI is being used?
Are AI outputs validated?
Are AI systems properly governed?
Can management evidence responsible AI adoption?
Break any link and the decision cannot be reconstructed which means it cannot be evidenced, reviewed or defended
Eight review areas, one assurance view
AI Governance and Accountability
AI Inventory and Risk Classification
Data Governance and Privacy Controls
Cybersecurity Controls
Evaluate ownership, decision rights, oversight structures, policy framework, risk ownership, and board reporting.
Assess whether AI tools, systems, vendors, use cases, owners, users, data sources, and risk levels have been identified.
Review data access, classification, confidentiality, privacy, retention, data quality, and cross-border considerations.
Assess AI-related cybersecurity risks, including access management, secure integrations, data leakage, prompt injection, API risk, vendor exposure, and incident response.
Model and Output Validation
Human Oversight
Auditability and Evidence Trails
Continuous Monitoring
Evaluate whether AI outputs are tested for accuracy, reliability, completeness, bias, drift, explainability, and business suitability.
Assess whether human review is meaningful, documented, and proportionate to the risk of the AI-supported decision.
Examine whether AI-supported decisions can be reconstructed, evidenced, reviewed, and defended.
Assess whether AI risks are monitored through dashboards, exception reporting, incident tracking, and management review.
IIA Cybersecurity Topical Requirement
Governance, risk management and control process expectations internal audit functions are now measured against.
Your own control set
Findings map to your existing policies, delegations and assurance calendar — not to a generic template.
Assurance the board can rely on
One review, two audiences: the control owners who must close the gap, and the board that must be able to say the position was independently examined.
One page the audit committee can read in two minutes, supported by the detail behind it.
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For those who must answer for the position, not just hold it
Boards and audit committees
Regulated entities
Internal audit departments
Financial institutions
Public sector organizations
Utilities and critical service providers
Healthcare organizations
06 — BENEFITS TO YOUR ORGANIZATION
From assertion to independent confidence
Provide independent confidence over AI use
Prepare for audit, regulatory, and stakeholder scrutiny
Reduce operational, cyber, legal, and reputational risk
Strengthen governance and control maturity
Improve board reporting
Support responsible scaling of AI
COMMON TRIGGERS FOR THIS REVIEW
The audit committee has asked for assurance over AI and none exists.
Internal audit has AI on the plan but not the specialist capacity.
A regulator or examiner has begun asking how AI use is controlled.
AI is about to scale, and nobody has tested the controls first.
An independent review with a defined end point
Typical duration: 3 to 6 weeks | Delivery model: Interviews, documentation review, control testing, and executive reporting | Output: AI Assurance Readiness Report and board presentation
systems,
The review ends where the board's obligation begins — with a single document that says what was examined, what was found, and what happens next.
Independent. Integrated. Caribbean.
An independent firm
Dawgen Global is an independent, integrated multidisciplinary professional services firm — not affiliated with any international network. Our judgement is our own.
Audit
discipline, not commentary
Findings are tested, evidenced and rated — written to survive examination by internal audit, a regulator or an external auditor.
We do not build what we assure
We do not implement the AI systems we review. Independence is not a claim in an assurance engagement; it is the product.
Regional reach and context
Headquartered in New Kingston, Jamaica and operating across 15+ Caribbean territories, with an understanding of local regulatory and board expectations.
