Audit evidence citation assistant
Links narrative statements to supporting evidence and document page references.
Remediation validation assistant
Checks closure evidence against original finding and action plan.
Tone and clarity report editor
Improves audit report wording for clarity, neutrality, and executive readability.
Follow-up audit prioritization
Ranks past findings for follow-up based on age, risk, status, and business change.
Control deficiency aggregation
Aggregates control exceptions into deficiency themes and material weakness indicators.
Client request tracking assistant
Summarizes open PBC requests, blockers, late items, and responsible parties.
Engagement handoff summarizer
Creates transition packages for new audit staff or offshore support teams.
Audit methodology Q&A assistant
Answers audit methodology questions using approved firm guidance and examples.
AI inventory audit
Audits whether all AI systems and use cases are inventoried, risk-rated, and owned.
AI governance maturity assessment
Evaluates AI strategy, policies, board oversight, roles, and accountability.
AI model development lifecycle audit
Tests design, development, validation, deployment, and change-management controls.
Model risk management audit
Reviews validation, monitoring, limitations, challenger models, and independent review.
Bias and fairness testing
Tests AI outcomes for disparate impact, proxy variables, and unfair bias.
Model drift monitoring audit
Checks whether performance, input drift, and concept drift are monitored and escalated.
Prompt and output logging audit
Reviews logging, retention, and traceability of GenAI prompts, context, and outputs.
Human-in-the-loop control testing
Tests whether required human review occurs before high-impact decisions.
AI incident response audit
Tests AI incident detection, escalation, kill switch, rollback, and remediation.
Third-party AI vendor assurance
Reviews AI vendor data use, subcontractors, security, model updates, and audit rights.
AI data lineage audit
Traces training, fine-tuning, retrieval, and inference data sources.
AI security red-team review
Tests prompt injection, data leakage, model extraction, and jailbreak resistance.
GenAI hallucination control testing
Tests controls that detect and reduce unsupported or inaccurate generated content.
AI explainability assessment
Evaluates whether model explanations are meaningful for users, auditors, and regulators.
AI access-control audit
Checks who can use AI tools, upload data, access outputs, and change models.
AI regulatory readiness assessment
Maps AI controls to NIST, ISO, EU AI Act, sector guidance, and internal policy.