ABDULLAH AL OWASIGather, draft and cross-check.
Use automation to reduce clerical friction across evidence requests, registers, policy comparisons and framework preparation.
AI-assisted GRC assurance · controls · third-party risk · agent governance
Automate the legwork.
Keep the judgment accountable.
I build decision-grade GRC workflows where automation prepares evidence, registers and cross-checks while accountable people retain scope, control-effectiveness, risk-acceptance, exception and sign-off decisions.
Audit readiness · Controls assurance · TPRM · AI & agent governance
THE CONTROL CENTER / INTERACTIVE PROOF
See the exposure.
Prioritize the decision.
Connected GRC dashboard with an interactive 5×5 risk matrix, control-effectiveness indicators, expired-evidence signals, compliance hotspots and named remediation actions. Recalculate outcomes with three downloadable synthetic datasets.
Open Executive GRC Control Center →What the buyer receives
- 01 / ExposureInherent versus residual risk
- 02 / AssurancePassing tests and evidence age
- 03 / AccountabilityActions, owners and deadlines
- 04 / HandoverDecision JSON + executive memo
Evidence-led framework mapping
Framework references describe review scope; they are not claims of certification, legal status or an auditor's opinion.
Agentic GRC / human decision boundary
AI can prepare. Accountability stays human.
Modern GRC agents can gather evidence, draft registers, compare documents and prepare audit work. My operating model keeps the consequential calls with accountable reviewers: scope, materiality, control effectiveness, risk acceptance, exceptions and sign-off.
Verify before relying.
Preserve source dates, provenance, completeness, freshness and reviewer rationale before evidence supports a conclusion.
Keep risk calls accountable.
Separate machine recommendations from human authority for effectiveness, residual risk, exceptions, release and acceptance.
Authorize tools, data and change.
Connect identity, evidence provenance, agent/tool/data permissions and ongoing monitoring to explicit escalation and review gates.
External automation benchmark: 60 open GRC agent skills at grcskills.com ↗. I treat skill libraries as preparation accelerators—not delegated authority or automatic compliance.
Choose the completed work
Three bottlenecks. Three reviewable outcomes.
Stop unreviewed AI vendors before deployment.
Subprocessor, retention and disclosure questions translated into a risk-ranked HOLD/REVIEW decision with named actions.
Get example JSON ↓Know what is actually ready for the auditor.
Control-to-test traceability, evidence expiry, open exceptions and a reviewer-ready gap report—not a certification promise.
Get example JSON ↓Turn cross-border AI exposure into actions.
Map transfer safeguards, flag missing contract terms, assign remediation and calculate a conditional response clock.
Get example JSON ↓Follow the decision trail.
Risk reviews connect requirements, controls, dated evidence and accountable treatment. Inspect the workflows and recorded checks.
AI inventory & lifecycle authorization
AI inventory & lifecycle authorization
Source records · review logic · decision outputsAI use-case release review pack. Resolve inventory and release prerequisites.
↗Supplier lifecycle & concentration
Supplier lifecycle & concentration
Source records · review logic · decision outputsSupplier decision and concentration pack. Escalate concentration and contractual gaps.
↗External audit & certification readiness
External audit & certification readiness
Source records · review logic · decision outputsAudit request and evidence index. Assign incomplete requests and reviewer follow-up.
↗Clear scope.
Concrete outputs.
AI governance, supplier assurance and control reviews with defined evidence, ownership and acceptance criteria.
Review services and handover →Hiring for GRC or AI governance?
Review the professional profile, connected workflows and source history before discussing role fit.
Professional profile →Inspect the delivery logic
From evidence gaps to a review package.
Run domain-specific onboarding, assurance and incident scenarios. Inspect the inputs, follow the calculation and download the decision package.
Explore three guided client scenarios →