RegAI reads regulations, maps them to your policies, scores the gaps, and drafts the controls that close them — end to end. Built by Sia for compliance, risk, and legal teams at regulated firms.
Regulations evolve faster than teams can read them. Extracting requirements, benchmarking them against internal policies, and identifying gaps demands significant time and resources.
Global and local authorities issue new guidance faster than teams can read it.
Manual extraction and mapping, before any judgement is applied.
From new requirement to updated policy — exposing the firm in between.
RegMatcher for regulatory intake and comparison. RegReview for gap analysis and control drafting. Shared data model, one workflow.
Centralise every relevant regulatory source, apply a tailored taxonomy, and compare any source regulation against one or many targets — clause by clause.
Benchmark obligations against internal policies and controls. RegReview scores coverage, highlights residual risk, and drafts the controls that close every remaining gap — with traceback to source.
Every obligation, every control, every gap — in one audit-ready workspace. Hover the AI panel to see reasoning trace all the way back to source.
| REF | Requirement | Coverage | Severity |
|---|---|---|---|
| Art. 5 §1 | Establish an ICT risk management framework that is integrated into overall risk processes. | Full | Low |
| Art. 5 §2 | Approval and review of the framework at least once a year by the management body. | Partial | Med |
| Art. 6 §1 | Implement a documented ICT business continuity policy with RTO/RPO thresholds. | Uncovered | High |
| Art. 6 §3 | Test the ICT continuity plan at least annually, including for critical third parties. | Full | Low |
| Art. 8 §1 | Identify, classify, and document all ICT-supported business functions. | Partial | Med |
| Art. 9 §4 | Designate a control function to oversee third-party ICT providers. | Full | Low |
A shared pipeline turns scattered regulatory publications into obligations, coverage, controls, and evidence — all traceable back to source.
Every regulation × policy intersection, scored in real time. Dark green = fully covered. Red = uncovered. Hover any cell to inspect the underlying obligation.
Synced nightly with your policy library. Drill into any cell to see the exact clause, the mapped control, and the residual risk score.
RegAI runs as a continuous five-phase pipeline — Horizon Scanning, Regulatory Intake, Gap Analysis, Controls Mapping, and Audit Readiness. Each phase has a crisp input, a RegAI-driven action, and a defensible output. Weeks of manual effort collapse into hours of review.
Continuous monitoring of every regulator feed, portal, and PDF — calibrated to your taxonomy.
Applicability scoring and obligation deduplication, with traceback to source paragraph.
Requirement-by-requirement coverage scored Full / Partial / Not covered, with rationale.
Existing controls deduplicated, then mapped to the obligations they address.
AI-drafted controls close every uncovered requirement; evidence pack exports to GRC.
Implement your taxonomy, source list, policies, and company profile.
Scrapers run across all sources; SMEs validate the library.
AI assesses each regulation against your activities and scope.
Cross-reference overlapping requirements; retain the strictest.
Requirement-by-requirement coverage: full / partial / not covered.
An agent merges overlapping controls into a streamlined inventory.
Map each control to the requirements it addresses. Flag uncovered ones.
AI-generated draft controls close every remaining uncovered requirement.
A shared data model powers every module — so monitoring, extraction, mapping, and drafting all draw from the same structured library.
Web-crawling and APIs ingest new publications from regulator portals automatically.
NLP embeddings understand intent, surfacing related documents by theme — not keyword.
Structured obligations with traceback, auto-translated from multiple languages.
Explainable scoring by risk, cost, effort, and regulatory deadlines.
Severity dynamically scored — High / Medium / Low — by control coverage.
Conceptual overlaps between obligations and controls, even when wording differs.
OCR and NLP parse uploaded PDFs and screenshots, extracting dates and signatures.
Real-time control coverage, evidence freshness, open remediation — synced with Jira.
RegAI ships with parsers, taxonomies, and obligation libraries for the rules below. New regulators or internal frameworks are configurable in hours, not weeks.
Global systemically-important banks and Tier-1 insurers use RegAI to collapse multi-week analysis cycles into hours of review.
A large-scale initiative: 100+ regulations, ~7,000 pages of regulatory text, ~4,000 pages of policies. RegAI extracted requirements, ran a structured gap analysis, drafted new controls, and delivered the full matrix.
Converting from FDIC oversight to a national OCC charter required mapping every existing risk and compliance program to the OCC's heightened standards (12 CFR §30) and DFAST / CCAR-aligned expectations. RegAI ingested both regulators' rule sets, mapped them clause-by-clause against the bank's policy library, and surfaced the gaps that had to close before submission.
RegAI is built for regulated firms where requirements multiply faster than headcount. Domain-agnostic intake, sector-tuned taxonomies.
Basel, MAS, OCC, Dodd-Frank, DORA — mapped to your policy suite with traceable coverage.
Solvency II, IFRS 17, SFC, HKMA — jurisdictional overlays, Archer-ready taxonomies.
FDA, EMA, HIPAA, GxP, pharmacovigilance — controlled-document change tracking.
EU AI Act, NIST AI RMF, ISO 42001 — model-risk and AI-governance obligation tracking.
Every RegAI output is traceable to a source paragraph and reviewable by a human. Designed for audit, not just speed.
Every obligation, every control — linked back to the exact paragraph that produced it.
SMEs validate every step. AI drafts, people decide — with full edit history preserved.
Your data stays in your tenant. No training on client documents. SOC 2 & ISO 27001 aligned.
Coverage, hours saved, acceptance rate — dashboards quantify impact for every stakeholder.
Compliance can't ship anything internal audit can't defend. Every RegAI mapping carries its citations, its reasoning, and its full human-vs-AI decision trail — so when the regulator asks "why?", the answer is one click away.
No obligation, gap score, or draft control exists without a link back to the exact paragraph in the source regulation. Click any item to jump straight to the underlying clause, in the original language.
Every transition (AI suggestion → human review → final decision) is timestamped with the reviewer, the rationale, and the diff. Internal audit and external regulators see exactly who decided what, when, and why.
Each AI output is stored alongside the reasoning trail that produced it: which clauses were considered, which were ruled out, and why the final classification was chosen. Reproducible, reviewable, archivable.
Side-by-side view shows the original AI draft, every human edit, and the published version. Every change is attributable; nothing is silently rewritten. Versioned, exportable, audit-ready.
Traditional GRC systems store controls. Manual consulting delivers one-off reports. RegAI does the reading, mapping, and drafting — then plugs into whatever GRC you already run.
| Manual consulting | Generic GRC suite | RegAIby Sia | |
|---|---|---|---|
| Automated regulation ingestion | Manual | Partial | Built-in |
| Obligation extraction with traceback | Manual | Not supported | Native |
| Semantic policy ↔ requirement mapping | Keyword search | Keyword search | AI semantic |
| AI-drafted control language | Consultant-drafted | Not supported | Included |
| Median gap-analysis cycle | 10–14 weeks | 6–8 weeks | 3–5 days |
| Plugs into Archer / ServiceNow / Jira | Via integration | Native | Native + API |
| Data stays in your tenant | N/A | Some SaaS | Always |
| Human-in-the-loop oversight | Yes | N/A | Every step |
RegAI is the product of 15 years of compliance engagements at Sia Partners. Every feature was prototyped on live mandates, pressure-tested by regulators, and refined on real client data.
Ex-regulators, ex-CCOs, and legal engineers on the team.
Hybrid: platform plus senior advisors at every milestone.
100+ live mandates across banking, insurance, and life sciences.
Teams in EU, UK, US, Canada, Singapore, and HK.
A typical first engagement runs 6–10 weeks end-to-end: platform setup, source ingestion, initial gap analysis, and first draft controls. We've delivered full compliance matrices covering 1,000+ regulations in under three months.
No. RegAI runs in your tenant or a dedicated Sia environment. Your policies, obligations, and evidence are never used to train shared models. SOC 2 Type II and ISO 27001 aligned.
RegAI ingests any publicly available regulator portal or API. We've built operational coverage across MAS, HKMA, APRA, OCC, FCA, ESAs (DORA, MiCA), FDA, EMA, and EU-level AI & data regulation. New sources are configurable in hours, not weeks.
Source text is parsed natively in 20+ languages with auto-translation to your working language. Traceback always points back to the original-language paragraph so legal review can verify intent.
No — it reclaims their time. RegAI handles the mechanical 70% (extraction, mapping, drafting) so specialists focus on judgment: exceptions, oversight, and strategic decisions.
Clients typically see a 10× speed-up on gap analysis and 60–70% reduction in manual review hours. On one GSIB engagement, RegAI saved an estimated 7,000 review hours across a 1,000+ regulation matrix.
A 45-minute walkthrough of RegMatcher and RegReview on your own regulation and a sample policy. We bring the platform — you bring the regulation.
A Sia specialist will reach out within one business day.
