A Compliance Crisis Hiding in Plain Sight
For national and mid-sized banks, cybersecurity compliance is no longer a back-office chore, it’s a board-level imperative. FFIEC examinations, NIST Cybersecurity Framework 2.0 alignment, and ISO 27001/27002 conformance now demand continuous, evidence-based attestation, and the pressure keeps growing.
Yet the way most institutions manage policies hasn’t changed in a decade. Analysts chase down policy owners over email. Spreadsheets track expiration dates. Auditors surface gaps that were invisible the week before the exam. Costs piles up fast: industry benchmarks put annual policy management costs at $750K to $1.15M for a typical mid-sized bank, before you count the multi-million-dollar civil money penalties a single serious FFIEC finding can trigger.
This is why Infinitive built Poli-Seeker: an agentic policy management solution built on the Databricks Data Intelligence Platform and powered by Agent Bricks, Unity Catalog, and AI/BI Genie, and designed for the banking compliance function.
Why Manual Policy Management Fails
Financial institutions face compounding pressure from three directions:
- Regulatory density. NIST CSF 2.0, the FFIEC IT Examination Handbook, and ISO 27001/27002 are no longer discrete obligations, they overlap, evolve, and multiply the mapping burden.
- Lifecycle gaps. Roughly 65% of FFIEC cybersecurity findings trace back to outdated or incomplete policies. When a 12-month policy lifecycle quietly expires, the risk is often discovered only during an audit.
- Audit cost. A single 6-month audit cycle consumes $400–600K in consultant and staff time. Multiply that across two audits a year plus remediation work, and the compliance office is perpetually behind.
The root cause isn’t effort, it’s architecture. Policy documents, framework requirements, owner directories, and audit evidence live in disconnected systems. Keeping these synchronized is a significant and costly challenge.
Introducing Poli-Seeker: Multi-Agent Policy Automation on Databricks
Poli-Seeker automates the full policy lifecycle, ownership identification, gap analysis, remediation drafting, and audit-ready reporting, through a coordinated team of specialized AI agents running on Databricks. It is a compound AI system, designed from the ground up to make compliance continuous rather than episodic.
Four agents work in concert:
- Knowledge Agent (Orchestrator). Parses policy metadata across the bank’s catalog to assign accurate ownership and route tasks to the appropriate sub-agent.
- Date Awareness Agent. Executes precision lifecycle notifications at the 6-, 9-, and 12-month marks, automatically escalating as expiration nears.
- Volume Access Agents. Cross-reference bank policies against the authoritative frameworks loaded into Unity Catalog volumes (e.g., NIST RMF, CSF 2.0, FFIEC Handbook, and ISO 27001/27002) and score gaps by regulatory risk priority.
- Genie-Powered Retrieval. Delivers framework-aligned remediation language with citations in seconds via Databricks AI/BI Genie, giving analysts an instant, governed research partner.
Our proof-of-concept deployment uses 8 representative national bank policies and the full text of the key frameworks, all managed through Unity Catalog volumes. It is operational today and ready to demonstrate.
The Precision Lifecycle: Why Timing Changes Everything
One of the most expensive failures in policy management is deceptively simple: a policy quietly reaches end-of-life without anyone noticing. Poli-Seeker’s tiered notification cadence guarantees this never happens:
- 6-month mark: Policy owner is notified of upcoming end-of-life.
- 9-month mark: Escalation to policy owner and the owner’s supervisor.
- 12-month end-of-life: Owner, supervisor, and department head or line-of-business head all receive alerts, with a remediation draft already prepared.
This isn’t just a reminder system. Every escalation is backed by a ready-to-review remediation draft generated by the Genie-powered retrieval agent, with citations to the governing framework. Accountability and action land together.
Why Databricks Is the Right Foundation
Policy management is a governance problem disguised as a data problem. The solution needs three things most AI platforms can’t offer together: secure enterprise data access, auditable AI output, and the ability to evolve as frameworks change. Databricks delivers all three, which is why Infinitive chose it as the backbone for Poli-Seeker.
Governed agents, end-to-end
Agent Bricks provides production-ready tooling to build, evaluate, and monitor our multi-agent system, including MLflow tracing for continuous quality monitoring and Unity Catalog governance over every model, tool, and data asset the agents touch. Every action is logged, permissioned, and auditable, which matters enormously when an examiner asks how a conclusion was reached.
Model choice and future-proofing
Agent Bricks natively serves frontier models from OpenAI, Anthropic, and Google as well as leading open-source models through a single platform. If a newer model becomes better suited to regulatory reasoning next quarter, we swap it in without re-architecting and negotiating a separate contract. Databricks’ Multi-AI Indemnity also shields the bank from future copyright and legal risk as the AI landscape evolves.
Grounded, context-aware answers
Because Poli-Seeker’s agents draw from Unity Catalog volumes with full data lineage, every remediation suggestion can be traced back to its authoritative source. That’s the difference between “AI said so” and audit-ready evidence.
Executive visibility through AI/BI
Databricks SQL dashboards and AI/BI turn the policy catalog into a live compliance cockpit. Department heads can ask Genie plain-English questions, like “Which of my policies are within 90 days of expiration and not yet reviewed?” and get instant, governed answers without filing a ticket with the data team. Access policies established in Unity Catalog flow through automatically, so every AI-generated answer complies with existing data governance.
Quantified Impact: The Numbers That Matter
In a typical mid-sized bank deployment, Poli-Seeker reduces total policy management cost by 65% on average. Here is where the savings come from:
Cost Category | Manual Baseline | With Poli-Seeker | Reduction |
Audit preparation | $400K – $600K | $240K – $360K savings | 60% |
Policy reviews | $250K – $350K | $162K – $227K savings | 65% |
Lifecycle notifications | $100K – $200K | $75K – $150K savings | 75% |
Total | $750K – $1.15M | $477K – $737K savings | 65% avg |
The value extends beyond direct cost reduction:
- Breakeven in 4 months for a 100+ policy catalog.
- 3.5x Year 1 ROI with average savings of $650K.
- Two FTEs freed from manual lifecycle work, redeployable to strategic risk initiatives (~$300K value).
- $1M+ in fine avoidance per major FFIEC finding prevented through proactive gap closure.
Benchmarks are based on Gartner and KPMG GRC studies, which put manual programs for mid-sized banks in the $750K–$1.15M range and document 65–75% cost reductions from AI-driven compliance automation.
From POC to Production
Poli-Seeker is ready to run against your policy library today. The 8-policy POC demonstrates the full multi-agent workflow end to end, and the architecture scales linearly as you load additional policies and frameworks into Unity Catalog volumes. Because everything runs on the Databricks Data Intelligence Platform, there are no hidden integration costs when you move to production, just added coverage.
A typical engagement path:
- Discovery (2 weeks): Map your current policy catalog, framework obligations, and owner directory.
- Deploy (4 weeks): Load policies and frameworks into Unity Catalog, configure Agent Bricks, and stand up Genie spaces for business users.
- Validate (2 weeks): Side-by-side comparison of agent-generated remediations against your existing workflow.
- Scale: Expand to additional policy domains, downstream systems, and automated evidence collection.
Ready to See Poli-Seeker in Action?
Compliance automation isn’t a distant future. It’s operational today, and the banks that deploy it first will spend less, sleep better, and show examiners a posture their peers can’t match.
Contact Infinitive to schedule a personalized demo and discuss how Poli-Seeker can be tailored to your institution.
