Regulations don't wait for you to check on them. A new OSHA directive can drop on a Tuesday. A state legislature can pass a bill on Friday. If you're not watching continuously, you will be behind.
Most compliance teams find out about regulatory changes the hard way: from a consultant, an audit, or a penalty notice. We wanted to build something that does the watching for you, around the clock, across every domain that applies to your business.
The Three-Stage Regulatory Pipeline
We built a three-stage pipeline that scans, classifies, and routes regulatory changes to affected organizations automatically.
We integrate with and daily scan multiple trusted regulatory and government sources, including federal APIs, state legislation trackers, and agency RSS feeds, covering federal rulemaking, state legislation, agency enforcement actions, industry-specific filings, and consumer protection activity. Every document is deduplicated on ingest. Per-source health monitoring flags any individual source that goes silent for 3 days, and escalates to the platform team.
Most regulatory documents aren't relevant to any given business. Our AI-powered classification filters out the noise automatically, and only the documents that matter go through structured impact analysis: summary, severity, affected organization criteria (by state, industry, employee count), specific action items with deadlines, and the statutory citation.
Approved analyses get matched against organization profiles. If your company operates in California with 50+ employees and a new Cal/OSHA directive just dropped, you get a notification in-app and a batched weekly digest email with the full analysis. No noise from irrelevant updates.
The Rules Engine That Keeps Up With Your Business
Underneath the monitoring pipeline sits our compliance rules engine. Each rule encodes regulatory criteria like operating states, employee thresholds, and industry classifications, paired with effective dates and statutory citations. The engine evaluates your organization profile against every active rule and tells you which of the 16 modules actually apply to your business right now.
When your profile changes (you expand to a new state, hire past a legal threshold, start handling cryptocurrency), the engine re-evaluates automatically. Modules activate and deactivate based on what's real. Critically, the system never auto-removes a module an admin explicitly turned on. We respect human intent.
Rules have effective and expiry dates, so when a new law takes effect on January 1st, the corresponding rule wakes up on its own. No deploys needed.
The Loop That Never Sleeps
The last piece is what turns this from a tool you check occasionally into a system that's genuinely always working.
Auto-Linking. Upload a document to the evidence vault and our keyword maps analyze it against requirements across all modules simultaneously. A single safety training certificate might get linked to OSHA recordkeeping, WVPP training obligations, and multi-state labor records, each with retention policies based on the applicable statute and record type.
Auto-Status. A pure-logic state machine tracks every requirement through its lifecycle: not_started → in_progress → compliant → non_compliant. Evidence freshness drives the transitions. When evidence expires, linked requirements automatically downgrade. When new evidence is linked, requirements advance. Statuses that humans set manually are never overwritten by the system.
Health Scoring. Every organization has a continuously computed health score from 0 to 100, aggregating module-specific penalties for missing plans, expired training, overdue tasks, and stale evidence.
Predictive Alerts. We analyze health score trends over time to flag downward trajectories early. Expiration forecasting flags evidence and training before they lapse, giving your team time to act. A composite risk score aggregates all signals to surface what needs attention first.
Always-On Background Jobs. From the early hours through late afternoon UTC, carefully sequenced background jobs handle regulatory scanning, compliance rule evaluation, evidence freshness checks, recurring task generation, module-specific notification pipelines, escalation emails, billing, HRIS sync, and more. Each one is resumable, batched, and time-budget guarded against exceeding its execution window.
What We Got Wrong Along the Way
Budget controls aren't optional. Early in development, a bug in the analysis pipeline processed far more documents than intended in a single run. That was an expensive morning. Now every AI-powered process has built-in budget controls and batch limits. The cheapest bug fix we ever shipped.
Staleness is a signal, not a silence.Initially we assumed "no new documents" meant "nothing happened." Wrong. It meant the RSS feed was broken. Now we track health per source individually with escalating alerts. If a source goes quiet, the platform team knows which one and when it last worked, both through automated notifications and a live health dashboard. Silence from a regulatory feed is always suspicious.
Auto-activation needs guardrails. Our rules engine can auto-activate compliance modules when your profile changes. But we learned that auto-deactivating modules is dangerous. If an admin explicitly turned something on, the system shouldn't turn it off just because a profile field changed. Human intent takes precedence over automation.
Your AI Assistant Knows What Changed
Monitoring is only useful if the right people can act on it. Every regulatory update that passes human review gets embedded into the AI compliance assistant's knowledge base. Ask "what new OSHA regulations affect us?" and the assistant answers with the specific rule, its effective date, and the action items your team needs to take, citing the statutory reference.
The assistant filters by your organization's active compliance modules, so you only see what's relevant. Upload a document to the evidence vault, and the AI review can cross-reference it against recent regulatory changes to flag gaps or confirm compliance. The regulatory pipeline doesn't just alert you; it makes every other part of the platform smarter.
Where We're Headed
Cross-module gap detection already identifies when a control gap spans multiple regulatory domains, and our audit-export pipeline lets you hand an auditor a complete, timestamped compliance history as a CSV download with one click. Next up: deeper regulatory-domain implications that flag when a change in one area affects your obligations in another, richer export formats for auditors, and expanding our source coverage to state-level administrative rulemaking, which remains the biggest gap in free regulatory data.
Regulations will keep changing. Your compliance shouldn't fall behind.
Interested in how we deliver precise, context-aware compliance guidance while keeping sensitive data out of the AI model? Read Context-Aware Compliance Intelligence.