Chief Compliance Officer
“Where are we exposed right now, across every framework we report against?”
A live posture view by framework, with the top gaps, their owners and the evidence behind each rating.
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Track regulatory change, map every obligation, and maintain continuous audit readiness inside the enterprise perimeter using the AppsTek Sovereign AI Platform.
Illustrative sample. Scores, requirement counts and findings are demonstration values and will vary by environment.
Watch the Compliance AI Agent move from regulation to finding within the Sovereign AI Platform, with every source, permission, and approval preserved.
Illustrative sample. Vendor names, contract counts, clause findings and owners are demonstration values and will vary by environment.
Connect each team to the same regulatory requirements, control mappings, findings, owners, and supporting evidence using the AI compliance agent.
Chief Compliance Officer
“Where are we exposed right now, across every framework we report against?”
A live posture view by framework, with the top gaps, their owners and the evidence behind each rating.
Chief Risk Officer
“Which third parties carry the most regulatory risk?”
Vendors ranked by the data they handle, the obligations they fall under and the contract terms still missing.
General Counsel and Legal
“Which contracts are missing the clauses we are required to have?”
A clause-by-clause gap list across the contract repository, with the page reference for every finding.
Head of Internal Audit
“Show me the evidence that this control actually operated.”
Dated evidence linked to the control and policy version, exportable as an audit-ready pack.
Run agentic compliance on the AppsTek Sovereign AI Platform with governed data, sovereign models, enterprise permissions, approval workflows, and immutable audit records.
AI agents for compliance identify affected obligations, controls, owners, and remediation steps as requirements evolve.
Illustrative sample updates. Regulatory sources are configured for each enterprise and jurisdiction.
AI agents for compliance reveal where requirements overlap, where evidence satisfies several obligations, and where gaps remain.
Illustrative sample mapping. Frameworks and control domains are configured for each enterprise.
AI agents for compliance continuously monitor controls, maintain current evidence, and surface emerging gaps as policies and requirements change, helping teams stay audit-ready between audit cycles.
Audit readiness across a year
Illustrative sample values.
The Compliance AI Agent brings controls, evidence, ownership, and source references together in one traceable record, ready for internal auditors, external auditors, or regulators.
| Control area | Internal control | Evidence | Owner | Status |
|---|---|---|---|---|
| Logical access | Identity and Access Standard | Quarterly access review records3 of 4 quarters on file | IT Security | ◐ Partial |
| Change management | Change Management SOP | Approved change ticketsSampled across the audit period | Platform Engineering | ✓ Met |
| Vendor management | Third-Party Risk Policy v3 | Vendor assessments and DPA register17 contracts awaiting amendment | Legal and Procurement | ◐ Partial |
| Incident response | Incident Response Plan | Tabletop exercise reportCompleted this quarter | Security Operations | ✓ Met |
| Business continuity | None mapped | Evidence missingRecovery test report not found | Resilience Office | ✕ Gap |
Each row links to the exact policy version and section used. Query, user, permissions check, sources and model version are written to a tamper-evident log that exports in formats aligned to SOC 2 and ISO 27001 audit requirements.
Pairs with the Knowledge Agent for policy answers and the Security Agent for live control evidence.
A Compliance AI Agent is an agentic system that continuously monitors regulations, policies, controls, and contracts to identify compliance obligations, assess gaps, and assemble audit-ready evidence. Built on the AppsTek Sovereign AI Platform, it operates within the enterprise perimeter and works with governed enterprise data.
AI agents for compliance help compliance, risk, legal, and audit teams move beyond periodic reviews. The agent can monitor regulatory changes, map obligations to controls, identify gaps, track ownership, and maintain evidence as policies and systems change.
Agentic AI compliance connects regulatory sources with enterprise policies, controls, contracts, and evidence. The agent interprets regulatory changes, traces affected obligations, identifies relevant controls and owners, and surfaces actions that require attention, with each step supported by governed evidence.
The Compliance AI Agent can work with the regulatory sources and frameworks subscribed to by an enterprise, including multiple frameworks mapped to shared internal controls. Teams can see which obligations are covered, where gaps exist, and which evidence supports each requirement.
Yes. AI agents for compliance can monitor subscribed regulatory sources and identify relevant changes. The Compliance AI Agent traces those changes to affected policies, controls, contracts, and owners, helping compliance teams understand what needs to be reviewed or updated.
Yes. The Compliance AI Agent can trace regulatory obligations to relevant contracts and identify agreements that may require review or amendment. Contract compliance questions can be connected to the underlying regulation, obligation, risk, and supporting evidence.
AI agent compliance evaluates obligations against mapped controls and available evidence. When a control does not adequately address an obligation or supporting evidence is missing, the agent surfaces the gap and provides the relevant framework, evidence, and source context for review.
No. The Compliance AI Agent supports compliance professionals by handling continuous monitoring, obligation mapping, evidence gathering, and gap identification. Human teams retain responsibility for interpretation, approvals, remediation decisions, and governance.
Compliance records and evidence are managed within the AppsTek Sovereign AI Platform, where the Compliance AI Agent operates with the platform's privacy controls, access policies, enterprise key custody, and immutable audit capabilities. This keeps compliance workflows within the enterprise's governed environment.
Yes. AI agents for financial compliance can support use cases such as regulatory monitoring, obligation mapping, control assessment, evidence management, and audit preparation. The AppsTek Sovereign AI Platform provides the governed foundation for deploying these workflows within the enterprise environment.
The agent continuously monitors controls, policies, and evidence rather than waiting for an audit cycle. AI agents for compliance can flag control drift, collect evidence as work happens, and maintain traceability between requirements, controls, owners, and source documentation.
Give compliance teams a governed foundation for running AI agents across sensitive regulatory workflows without losing enterprise oversight.
Deploy air-gapped on premise, in a private cloud tenancy or on a smart appliance. Explore the Sovereign AI Platform ➜
Explore a live workflow from regulation to audit-ready evidence.