Application Layer — Security & Compliance

AI Compliance Co-Pilot

Maps obligations to controls, tracks evidence, and flags gaps ahead of an audit or review.

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Built on Foundation Layer
AI Governance & Observability, RAG & Knowledge Retrieval, Enterprise AI Gateway
The problem

What breaks without this

  • Mapping regulatory obligations to internal controls is a manual, spreadsheet-driven exercise that goes stale quickly.
  • Evidence for a given control is scattered across systems and often assembled only when an audit is imminent.
  • Compliance gaps are frequently discovered during the audit itself rather than in advance.
In one paragraph

Maps applicable regulatory and policy obligations to internal controls, tracks evidence collection against each control on an ongoing basis, and flags gaps well before a scheduled audit or regulatory review — reducing the scramble that precedes a compliance deadline.

Capabilities

What it does

Mapping of applicable regulations and internal policies to specific operational controls.

Continuous evidence tracking, pulling supporting artifacts from connected systems where possible.

Gap detection that flags controls with missing, stale or insufficient evidence ahead of a review.

Regulatory-change monitoring that flags where an update may affect existing control mappings.

Audit-ready reporting packages assembled from tracked evidence.

How it works

From request to result

01

Map

Applicable obligations are mapped to the specific internal controls that address them.

02

Track

Evidence for each control is tracked continuously, pulled from connected systems where available.

03

Flag

Controls with missing, stale or weak evidence are flagged to the responsible owner ahead of a review.

04

Report

An audit-ready package is assembled from current, tracked evidence when a review is scheduled.

Governance & security

Built to be audited, not just used

  • The co-pilot supports the compliance function; control interpretation and audit representation remain the responsibility of qualified compliance and legal staff.
  • Evidence provenance is preserved so every item in an audit package is traceable to its source system.
Integrates with

Fits existing infrastructure

GRC platforms AI Governance & Observability Document management Ticketing systems for gap remediation
What changes

Outcomes to expect

Qualitative, directional outcomes. We do not publish unverified performance figures — see the case studies section for engagement-specific, authorized results.

  • Compliance gaps are identified and remediated ahead of a scheduled audit rather than during it.
  • Evidence collection becomes a continuous background process instead of a pre-audit scramble.
  • Control-to-obligation mapping stays current as regulations and internal policy evolve.
Related

Works alongside

Sales & Revenue

AI Contract Review

Flags risk, non-standard clauses and missing terms before a contract reaches legal.

 Security & Compliance

Cybersecurity Triage Agent

Triages security alerts, correlates signals across tools, and prepares incident context for analysts.

 Operations & Analytics

AI Fraud Detection

Flags anomalous transactions and behavior patterns for investigation, without freezing legitimate activity.

Evaluate AI Compliance Co-Pilot for your environment

Talk to an architect about integration into your existing stack, or request a scoped demo against a representative use case.

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