When AI Compliance Experts Debate Your Risk, Nothing Gets Missed
Roundtable puts Claude, GPT-4, Gemini, and Grok on the same compliance review — one tracks regulatory changes, another maps your gaps, while risk scoring and advisory experts add context. Multi-perspective compliance analysis in minutes, not weeks.
One Regulation. Every Perspective Heard.
Unlike single-model AI, Roundtable runs multiple models in parallel — and they can see and challenge each other's compliance analysis.
Debating
Models surface genuine disagreements about regulatory interpretation and compliance posture.
Analyzing
Models examine regulations from different compliance domains, challenging each other's assessments.
Brainstorming
Models explore creative compliance strategies and novel approaches to multi-jurisdictional requirements.
Problem Solving
Models build toward actionable remediation roadmaps and prioritized compliance implementation plans.
You choose the mode. You assign the compliance roles. The models do the rest — and a Council Moderator synthesizes the consensus at the end.
Compliance Analysis Is the Bottleneck
Thomson Reuters gives you the regulatory feeds. LexisNexis gives you the legal research. But the critical analysis layer — assessing impact, mapping gaps, scoring risks, and drafting remediation plans? That still happens manually, across departments, over weeks.
Regulatory Data
Thomson Reuters, LexisNexis, RegTech feeds
Compliance Analysis
Manual. Weeks per regulatory change.
GRC Workflow
LogicGate, ServiceNow, Hyperproof
257 regulatory updates per day globally. Your team can't read them all.
Regulatory change velocity is accelerating. New frameworks like the EU AI Act, DORA, and expanding state privacy laws are creating unprecedented compliance complexity. Manual analysis doesn't scale.
Built for Compliance Teams Under Pressure
Whether you're assessing a new regulation, preparing for audit, or navigating cross-border requirements — the need is the same: multi-perspective analysis, fast.
Chief Compliance Officers
Monitoring 50+ regulatory frameworks simultaneously. Every missed update is potential enforcement action. Board expects proactive risk assessment, not reactive firefighting.
Regulatory change velocityRegulated Financial Institutions
Overlapping requirements from SEC, FINRA, OCC, CFPB, and state regulators. Cross-regulatory conflicts create impossible compliance matrices. Manual gap analysis takes weeks.
Multi-regulator complexityHealthcare Organizations
HIPAA, HITECH, state health data laws, and emerging AI regulations create layered compliance obligations. Every new technology deployment requires fresh regulatory assessment.
Layered regulatory obligationsTechnology Companies
GDPR, CCPA/CPRA, EU AI Act, and state privacy laws across every market you operate in. Cross-border data flows create jurisdictional conflicts that no single framework resolves.
Cross-border complianceWhy Asking ChatGPT About Compliance Doesn't Work
Generic AI can summarize regulations. But compliance analysis demands multi-jurisdictional awareness, dynamic risk scoring, and quantified exposure assessment that a single model cannot deliver.
Jurisdictional Blindness
A single model can't simultaneously track requirements from SEC, EU regulators, state attorneys general, and industry-specific bodies. Compliance spans jurisdictions and regulatory domains — a requirement valid under GDPR may conflict with CCPA. Single-model analysis misses these cross-regulatory tensions.
Static Analysis Trap
Regulations change daily. A single model produces point-in-time answers but can't weigh new enforcement trends against historical patterns or connect a proposed rule to its downstream impact on existing controls. Compliance is dynamic — static analysis creates false confidence.
Risk Quantification Gap
Compliance isn't binary. It requires risk scoring across severity, likelihood, regulatory appetite, and organizational exposure. A single model produces narrative but not quantified risk assessment — the kind that boards and audit committees actually need for decision-making.
Roundtable fixes this. When a Regulatory Monitor and Gap Analyst debate the same requirement — and a Risk Prioritizer and Advisory Drafter add context — jurisdictional conflicts get caught, risks get quantified, and remediation plans get stress-tested.
Multiple Compliance Experts Catch What One Misses
A single AI gives you a regulatory summary. But when Regulatory Monitor, Gap Analyst, Risk Prioritizer, and Advisory Drafter models debate the same requirement — jurisdictional conflicts get caught, risks get quantified, and remediation plans get prioritized.
Cross-Domain Challenge Catches Gaps
When the Regulatory Monitor identifies a new requirement, the Gap Analyst can immediately assess organizational impact. When both miss a cross-regulatory conflict, the Risk Prioritizer catches it. Blind spots don't survive multi-perspective examination.
Multiple Domains, Full Picture
A regulatory change means different things to different compliance domains. When regulatory, operational, risk, and advisory perspectives all weigh in, the impact assessment becomes three-dimensional.
Synthesis Through Deliberation
Regulations, controls, risks, and remediation plans need cross-referencing. When models respond to each other, they naturally connect dots across compliance domains that siloed analysis misses.
Assign Compliance Roles. Start the Review.
In Roundtable, you pick the AI models and assign each one a compliance function — just like convening a real compliance committee. Here's a setup compliance teams use for regulatory assessments:
Regulatory Monitor
ClaudeTracks regulatory updates, enforcement trends, comment period deadlines, and identifies applicable requirements across jurisdictions.
Gap Analyst
GPT-4Maps current organizational controls against regulatory requirements, identifies documentation deficiencies and control gaps.
Risk Prioritizer
GeminiScores compliance gaps by severity, calculates regulatory exposure, and produces likelihood-weighted risk matrices.
Advisory Drafter
GrokSynthesizes findings into remediation roadmaps, board-ready summaries, and phased implementation timelines.
Regulatory Change Assessment
Evaluate impact of new or amended regulations on your organization
Compliance Gap Analysis
Comprehensive audit of compliance posture across all applicable frameworks
Risk Assessment & Scoring
Quantitative risk scoring across regulatory domains with prioritized remediation
Cross-Border Compliance Review
Navigate multi-jurisdictional regulatory requirements for global operations
Weeks of Manual Analysis → Minutes of AI Advisory
From regulatory change to structured compliance advisory.
- 1New regulation published (discover it days to weeks later)
- 2Read and interpret regulatory text (1-2 days)
- 3Assess organizational impact across departments (1-2 weeks)
- 4Draft gap analysis and risk assessment (1-2 weeks)
- 5Produce remediation plan and board summary (1 week)
- 1Describe the regulatory change or compliance question
- 2AI compliance experts analyze in parallel — each from their domain
- 3Council Moderator synthesizes consensus with risk scores
- 4You review the analysis and make compliance decisions
Compliance AI Has Reached an Inflection Point
The EU AI Act, DORA, and expanding state privacy laws are creating unprecedented regulatory complexity. Compliance teams that don't adopt AI will fall behind the regulatory curve.
257
regulatory updates per day globally
Thomson Reuters Regulatory Intelligence
$4.24M
average cost per compliance violation in financial services
Ponemon Institute
$28.2B
projected GRC software market by 2028
MarketsandMarkets
89% of compliance officers report increased regulatory burden year-over-year. Major financial institutions are deploying AI for regulatory monitoring and compliance gap analysis. The firms that adopt AI-assisted compliance first will stay ahead of the curve.
"Compliance teams that rely on manual processes will be unable to keep pace with the velocity of regulatory change. AI is no longer optional — it's essential."
A Compliance Team That Never Falls Behind
The same rigor on the last regulatory assessment as the first.
Complete Coverage
Get structured multi-perspective analysis for every regulatory change. When 4 AI compliance experts work in parallel, no requirement goes unassessed.
Speed to Compliance
Multi-perspective compliance advisory in minutes, not weeks. Immediate structured analysis supports faster regulatory response and more proactive risk management.
Consistent Analysis
Every regulatory change gets the same multi-perspective rigor — whether it's the first assessment of the quarter or the fiftieth. No analyst fatigue, no oversight drift.
Built for Regulatory Confidence
Roundtable is designed for high-stakes compliance analysis — where every recommendation must be traceable, defensible, and ultimately validated by qualified compliance professionals.
Full Traceability
Every insight links to the model that produced it and the regulatory source it cited. No black-box opinions — every recommendation has a reasoning trail you can audit.
Your Data Stays Yours
Your data stays private. API traffic is excluded from model training by our providers. All infrastructure runs on Cloudflare's encrypted global network. Compliance data is isolated per-workspace.
Human-in-the-Loop
AI is the analysis team. You're the compliance officer. Roundtable provides structured reasoning to support your judgment — it never makes autonomous compliance decisions.
Important Disclaimer
Roundtable is an advisory tool. It does not constitute legal or compliance advice, is not a substitute for qualified compliance counsel, and should not be used as the sole basis for regulatory compliance decisions. All compliance determinations must be validated by qualified professionals.
Frequently Asked Questions
Your AI Compliance Team Is Ready
Assign the compliance roles. Pick the models. Describe the regulatory question. Whether it's regulatory change assessment, gap analysis, or any compliance question that deserves more than one perspective — Roundtable makes sure nothing gets missed.