AI Policy Compliance Checker
The client was a compliance and governance SaaS vendor serving HR and legal departments at enterprises in regulated industries. Their core product helped customers maintain policy libraries — employment, data handling, vendor management — but policy currency was a perpetual problem. Regulators issued updates at a steady cadence and customers either ran expensive periodic audits to find non-compliant clauses or accepted ongoing regulatory drift between audits.
NLP & Knowledge Systems
Enterprise SaaS, HRTech
14 weeks from kickoff to general availability
4 specialists
The full story
The practical problem was that customers had hundreds of policies, regulators issued thousands of updates per year across jurisdictions, and the manual cross-check was n-times-m work that no compliance team could keep current. Generic search tools could find a clause that mentioned a topic but could not score whether the clause was aligned with the latest regulatory wording. The vendor’s existing audit-time review service was profitable but did not protect customers between audits.
We built a continuous compliance scanner that ingested both the customer’s policy library and a curated regulatory feed across jurisdictions, scored every clause against applicable regulatory standards, and flagged drift with severity and recommended remediation. The scanner ran nightly on the full policy library and immediately on any policy edit, so customers had a live drift dashboard rather than a once-a-year snapshot.
What shipped was a compliance workspace where a customer’s chief compliance officer sees a live drift report across the full policy library, with each flagged clause linked to the regulatory source that triggered the flag and a suggested remediation. The scanner picked up new regulatory updates within twenty-four hours of publication and re-scored affected policies automatically. Audit costs dropped substantially because audits became confirmation exercises rather than discovery exercises.
Customers had hundreds of policies and regulators issued thousands of updates per year — periodic audits could not keep up.
Regulatory drift between annual audits left customers carrying months of unknown compliance exposure across jurisdictions.
Generic search found mentions of topics but could not score alignment between policy clauses and current regulatory wording.
Audit-time discovery work was expensive because it was discovery — the audit teams found problems instead of confirming compliance.
New regulatory updates arrived in mixed formats across jurisdictions, with no unified feed any customer had built internally.
Remediation guidance was generic, leaving HR and legal teams to translate findings into actual policy language changes.
How we structured the engagement
Made compliance a continuous scan against a curated regulatory feed instead of a once-a-year discovery exercise.
- 01Phase 01Weeks 1-3
Discovery
Reviewed three customer policy libraries and the regulatory sources each cared about, mapped the typical drift patterns by industry, and worked with the compliance team on what a defensible flag plus recommendation should look like. Output: a clause-scoring schema and a regulatory feed source list with update cadence per jurisdiction.
- 02Phase 02Weeks 4-5
Architecture
Designed a dual-index system — policy clauses on one side, regulatory paragraphs on the other — with an alignment scorer that paired clauses to applicable regulatory text and produced a drift score with severity. Picked Azure AI for the language model and PostgreSQL with pgvector for both indexes inside the customer’s tenancy.
- 03Phase 03Weeks 6-12
Build
Shipped the regulatory feed ingester first because the feed was the system’s freshness foundation. Built the policy clause indexer next, then the alignment scorer, then the drift dashboard. Implemented per-customer applicability rules so jurisdiction-specific regulations only triggered flags on customers operating in those jurisdictions.
- 04Phase 04Weeks 13-14
Launch
Rolled out to three pilot customers across financial services, healthcare, and tech for six weeks of live scanning. Tuned the alignment scorer against false-positive feedback from compliance teams until the actionable-flag rate held above eighty percent. Promoted to general availability once pilot teams ratified the remediation guidance quality.
What we built, component by component
- 01
Regulatory feed
Curated source list per jurisdiction with daily ingestion, structured paragraph extraction, and version tracking.
- 02
Policy indexer
Per-customer clause-level index over the policy library with re-indexing on edit and a tenant-isolated namespace.
- 03
Alignment scorer
Pairs each policy clause to applicable regulatory paragraphs and produces a drift score with severity and rationale.
- 04
Applicability engine
Per-customer jurisdiction and industry rules that gate which regulations trigger flags for which clauses.
- 05
Remediation generator
Produces suggested policy-language changes per flag, grounded in the regulatory source paragraph that triggered the flag.
- 06
Drift dashboard
Live view of flagged clauses across the policy library with severity, regulatory source, and one-click remediation start.
Regulatory updates flow into the feed daily and trigger re-scoring on affected policy clauses. Policy edits trigger immediate re-scoring on the changed clauses. The alignment scorer pairs each clause to applicable regulatory text, the applicability engine gates flags to relevant customers, and the drift dashboard renders live with remediation generated per flag for one-click adoption into the policy library.
The trade-offs we made and why
Made the regulatory feed a curated source list, not a web crawl
Crawled regulatory content drifted in coverage and reliability. A curated source list with daily ingestion gave us provenance per paragraph and predictable update cadence, which is what compliance teams needed to trust the system as an audit input.
Scored alignment at the clause level, not policy level
Policy-level scoring buried the actual drift inside long documents. Clause-level scoring with applicable-regulation pairing made every flag actionable — a compliance officer could see exactly which clause was off and why, instead of receiving a vague policy-needs-review prompt.
Built applicability gating per customer
Flagging every regulation against every clause would have created noise that crushed adoption. Per-customer jurisdiction and industry gating meant flags showed up only when they were relevant to that customer, which made the dashboard a usable surface rather than a wall of false positives.
Grounded remediation in the regulatory source paragraph
Generic remediation guidance forced compliance teams to interpret the regulation themselves, which they were already doing. Grounding remediation in the specific paragraph that triggered the flag gave them the wording reference they needed to draft a defensible policy change.
What changed for the client
audit cost
Per-audit cost reduction across the pilot cohort as audits shifted from discovery to confirmation against the continuous scanner output.
regulatory pickup
Time from new regulatory publication to affected policies being re-scored and surfaced in the customer drift dashboard.
actionable flag rate
Share of flagged clauses that compliance teams marked as genuine drift requiring remediation after scorer tuning was complete.
drift visibility
Replacement for the prior annual-audit model, with continuous scanning and same-day surfacing of drift across the policy library.
The tools behind the system
Built with a deliberate stack chosen for production reliability and operational velocity.
Lessons learned from the build
Curating the regulatory feed was the most important decision and the one easiest to under-invest in. A clean source list with provenance per paragraph was what made compliance teams trust the alerts. We would invest even more time in source curation up front next time.
Applicability gating was the difference between a noisy dashboard and a useful one. Flagging everything against everything is technically possible and operationally useless. We would design applicability rules in week one rather than treating them as a polish item.
Continuous scanning changed the customer conversation entirely. Sales pitches shifted from "we will help you audit" to "you will never not know," which was a different positioning. The product side benefited from us tracking that messaging shift early during pilot conversations.
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