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Data Privacy & Compliance in AI

AI Agents in the Compliance War Room: How Banks Are Fighting 2025’s Examination Crunch

David
#banking#compliance#ai-agents#regulatory-risk
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Compliance can’t keep up with exam velocity

Regulators didn’t slow down in 2025. The New York State Department of Financial Services, the OCC, and global watchdogs have all tightened expectations for AI governance. PYMNTS recently underscored the shift: banks are adopting AI agents to trim compliance bloat, automate financial crime monitoring, and maintain customer trust (PYMNTS).

Yet many teams still rely on manual spreadsheets, shared drives, and last-minute fire drills when examiners request evidence. That approach breaks when regulators expect continuous oversight of AI systems, third-party vendors, and cross-border data flows.

Panorad’s platform brings compliance, risk, and operations teams onto a single, explainable control plane that runs entirely inside the bank’s tenant. Outcome Simulator and workflow agents monitor key controls, flag gaps, and assemble evidence with attached provenance.

The compliance burden in 2025

IBM’s June 2025 report on banking in the AI era highlights a critical challenge: banks must manage risk with AI (fraud detection, credit scoring, compliance) while simultaneously managing risk of AI (bias, explainability, data security) (IBM Banking in the AI Era). Audit teams now ask for:

Manual processes can’t keep up with the volume of logs, model updates, and evidence.

Panorad’s in-tenant AI agents for compliance

Panorad agents orchestrate monitoring, evidence gathering, and remediation workflows:

  1. Control monitoring. Agents pull from policy repositories, GRC systems, ticketing queues, and core banking logs to evaluate whether required controls are in place. If a SOC control is missing documentation, the system raises an alert.
  2. Financial crime sweeps. Integrate transaction monitoring, KYC/KYB data, and sanction lists. Agents surface anomalies, cite exact transaction IDs, and open investigation tasks.
  3. Model governance. Log every model update, training dataset, and validation report. Outcome Simulator shows how key metrics shift when models retrain, with explainable driver analysis.
  4. Vendor oversight. Monitor third-party AI tools for SLAs, data residency commitments, and regulatory notices. Agents flag expiring certifications or policy changes.
  5. Audit evidence packaging. When examiners request artifacts, Panorad assembles pre-approved packets with citations, timestamps, and responsible owners.

Everything runs under SSO/SCIM, RBAC, and network controls defined by the bank. No sensitive data leaves the environment.

Real-time alerts instead of quarterly surprises

Compliance officers configure thresholds and triggers:

Each alert is logged with provenance. Compliance teams can replay the event in detail during an audit.

Examination-ready reporting

With Panorad, audit preparation shifts from reactive to continuous:

Because Panorad integrates with ticketing, HR, and comms systems, remedial actions remain tied to accountable owners.

Implementation roadmap for banks

  1. Deploy in your tenant. Choose Azure, AWS, or on-prem. Panorad honors your network segmentation, IAM, and monitoring tools.
  2. Integrate core systems. Connect GRC tools, SIEM/SOAR platforms, AML systems, ticketing, HR, and data catalogs.
  3. Launch baseline agents. Configure control libraries, model inventories, and policy repositories. Agents build an initial control health map.
  4. Automate evidence capture. Set schedules for policy attestations, control updates, and transaction sweeps.
  5. Enable stakeholder dashboards. Provide compliance, risk, and executive teams with real-time visibility.

Next step for compliance leaders

Banks that treat compliance as a continuous, explainable workflow will pass exams faster and close audit findings sooner.

Sources

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