Regulations, cited.
AI reviewer tuned to your regs (SOC 2, HIPAA, FINRA, GDPR). Flags risks with citations to specific regulation sections. Slack or Asana workflow.
Who this is for
Compliance, legal, or risk lead at a regulated mid-market company where marketing and product copy needs manual review against regulations on a tight cadence, and bottlenecks are slowing product release.
The pain today
- Compliance review blocking 2–5 product or marketing releases weekly
- Manual review of marketing copy vs regulations taking hours per review
- New regulations (EU AI Act, state privacy laws) not reflected in review checklist
- Reviewer fatigue causing misses in late-cycle reviews
- Audit documentation assembled manually from email threads
The outcome you get
- AI pre-review of content, flagging potential compliance issues
- Citations to specific regulation sections — human reviewer verifies
- Slack/Asana workflow — request review, get AI response in minutes
- Audit trail: every review preserved with AI analysis and human decisions
- Review turnaround time reduced from days to hours for standard content
Policy corpus grounding
Compliance AI is only as good as its regulation corpus. I ingest your specific regulation set: SOC 2 controls, HIPAA Privacy and Security Rules, FINRA rules, GDPR articles, state privacy laws, industry-specific guidance (FDA, FTC, PCI-DSS). Each regulation tagged with section, jurisdiction, effective date. Retrieval: when content is submitted for review, relevant regulation sections retrieved based on content category (marketing claim, data handling disclosure, customer communication). AI generates analysis citing specific sections. The regulation corpus is your team's responsibility to keep current — I wire update pipelines (scheduled re-ingestion of official sources) and tooling for your compliance team to add changes.
Explainability and citations
Compliance decisions require explanation. Every flag from the AI includes: specific regulation section cited, verbatim quote of the relevant rule, the specific language in the content that triggered the flag, severity (high/medium/low), suggested remediation. Human reviewer reads the citation, verifies application, accepts or overrides with justification. Overrides feed back into prompt refinement. For audit, the audit trail shows: what was reviewed, which regulations applied, AI analysis with citations, human decisions with rationale, final version of content. Auditors see both AI and human work, not a black box.
Workflow integration
Compliance review integrates where content is created. Slack: compliance channel with slash command (/compliance-review), AI response threaded with recommendations. Asana or Jira: ticket tagged 'compliance review needed' triggers AI analysis posted as comment. Custom workflow: API endpoint for marketing automation tools (Marketo, HubSpot) to request review before campaigns launch. Turnaround times: routine marketing copy in 5–10 minutes, complex product disclosures in 30–60 minutes. Human reviewer approves or edits based on AI analysis.
Case study: bolttech regulated payments
At bolttech — a $1B+ unicorn operating across 15+ international markets and 40+ payment providers — compliance review was a constant burden. Regulatory environments varied per market (EU PSD2, UK FCA, APAC local regulators). Standardized review processes with clear audit trails scaled the work without losing compliance rigor. The discipline I apply to custom compliance AI — corpus grounding, citation discipline, audit-trail first — comes from operating at unicorn scale where any miss becomes a regulatory incident. The patterns transfer to any regulated mid-market environment.
Pricing
AI compliance review fits the AI Automation retainer at $3,000/mo. First-version timeline: 6–8 weeks to ingest regulation corpus, tune analysis prompts, integrate workflow. Retainer continues through regulation updates (new laws, amendments), pattern refinement, and scope expansion (new content types, new regulations). 14-day money-back, cancel anytime, Work Made for Hire. LLM API costs typically $500–3,000/mo depending on review volume.
What AI can and cannot do
Explicit limits. AI can: identify patterns typical of violations, flag language that appears to make regulated claims, retrieve relevant regulation sections, suggest remediation language. AI cannot: provide legal advice, replace compliance officer judgment, certify content as compliant. Every AI output is analysis for human review, never final authority. For high-stakes content (clinical claims in pharma, investment returns in FINRA contexts), AI adds efficiency to human review; it does not replace it. I build the tool with these limits explicit in every output so users don't rely on it inappropriately.
Recent proof
A comparable engagement, delivered and documented.
Unified payment orchestration across Asia and Europe
Delivered the payment orchestration platform at bolttech, a $1B+ unicorn, with 40+ integrations across multiple regions.
Frequently asked questions
The questions prospects ask before they book.
- Does this replace my compliance officer?
- No — it makes them faster. AI handles initial analysis and citation; compliance officer reviews, decides, approves. Typical time savings: 50–70% on routine reviews, smaller on complex reviews. Compliance officer focuses on judgment; AI handles the tedious retrieval and pattern matching.
- How does it stay current with changing regulations?
- Regulation corpus refreshed on schedule (quarterly for stable regs, monthly for evolving, immediate for major changes like new laws). Your compliance team reviews corpus updates before they affect live reviews. I wire the update pipelines; your team gates the content.
- What regulations can you cover?
- Anything with a documented rule set. Common: SOC 2, HIPAA, GDPR, CCPA, FINRA, PCI-DSS, FDA guidance, FTC rules, state privacy laws. Industry-specific (insurance, pharma, fintech) scoped per regulation scope. Regulation depth depends on official source quality — well-documented regs work well, vague regulatory guidance is harder.
- Can non-compliance teams use it?
- Yes — marketing teams can self-service pre-review of campaign copy before sending to compliance officer. 'Am I even close to compliant' check. Reduces back-and-forth between marketing and compliance, shortens release cycles. Compliance officer still makes final call.
- What's the audit story?
- Every review preserved with full audit trail: content submitted, AI analysis with citations, human decisions with rationale, final approved version. Queryable by date, content type, reviewer, regulation. Audit reports generated on demand for SOC 2 audit or HIPAA review. Audit trail is the reason to build this kind of tool rather than Slack-DM'ing the compliance officer.
Ready to start?
Tell me what you need in 60 seconds. Tailored proposal in your inbox within 6 hours.