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Compliance Engine

Evidence-grade workflow execution (in progress)

Transform compliance frameworks into intelligent, executable workflows. Let AI orchestrate your path to certification while building audit-grade evidence automatically.

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In progress
Product status
Email-first
Access and intake
Pilot-based
How we start
Evidence by default
Core principle

Everything You Need for Compliance Excellence

Powerful features that transform how you approach compliance and standardized workflows

🧾

Workflow Spec (YAML)

A declarative spec to define units, controls (gates), interfaces, and architecture views in a consistent format.

  • Versioned definitions (schema_version, ids, trace refs)
  • Process structure: steps, validations, outputs, evidence
  • Designed to be readable by humans and executable by tooling
  • Reusable patterns across domains (not only one industry)

Evidence by Default

Documentation, trace links, and decision logs treated as outputs of the workflow—not extra work after the fact.

  • Evidence requirements modeled explicitly in the spec
  • Review gates and sign-offs as first-class concepts
  • Traceability hooks built into artifacts and steps
  • Designed to reduce “retroactive documentation”
📦

Operating Packs (FDB)

A growing library of reusable packs: templates + validations + outputs shaped by standards-driven practices.

  • Start from known patterns instead of inventing everything
  • Pack composition: modules you can reuse and extend
  • Works across domains by swapping pack content
  • Early-stage: library is growing and evolving
🔁

Execution Engine

A runtime that can execute defined steps, enforce gates, and emit structured outputs with provenance.

  • Run definitions consistently (no ad-hoc prompting)
  • Designed for human-in-the-loop checkpoints
  • Structured outputs intended for downstream tooling
  • Currently in progress: scope depends on engagement
🛠️

Tooling and Validation

Developer-facing tools to format, validate, and reason about definitions before they run.

  • Schema validation and consistency checks
  • Linting/formatting to keep definitions clean
  • Early feedback before execution
  • Built to support gradual adoption (not a big bang rewrite)

How It Works

From framework selection to audit-ready compliance in five intelligent steps

1

Define the work

Write a workflow definition (YAML) describing steps, gates, validations, outputs, and evidence requirements.

✍️
  • Units define responsibilities and outputs
  • Controls define gates, checks, and sign-offs
  • Interfaces define contracts between parts/tools
  • Views capture architecture context where needed
2

Validate and refine

Run tooling checks before execution to catch ambiguity, missing fields, and broken references.

🔎
  • Schema validation and reference integrity
  • Consistency checks (ids, versioning, outputs)
  • Human review of intent and acceptance criteria
  • Iterate until the definition is stable
3

Execute with checkpoints

Execute the definition with explicit gates and human-in-the-loop review where it matters.

⚙️
  • Structured task execution (no prompt chaos)
  • Gates enforce what must be checked/approved
  • Outputs are generated in a predictable format
  • Evidence is captured as part of the flow
4

Keep evidence attached

Outputs carry trace references and evidence hooks so work stays reviewable as it evolves.

🔗
  • Artifacts link back to inputs and decisions
  • Change impact becomes easier to reason about
  • Avoid “docs drift” between reality and reports
  • Designed for long-lived systems, not demos
See It In Action

Built for Every Compliance Journey

Whether you're starting from scratch or managing complex multi-framework compliance

🧠

Standards-driven engineering teams

Teams that need to produce consistent artifacts and evidence without slowing delivery to a crawl.

Expected Outcomes:

More predictable outputs and reviews
Less retroactive documentation
Clearer traceability between work items and artifacts
Lower drift as systems change
🏗️

Organizations building internal tooling

Teams creating internal platforms where governance and repeatability matter.

Expected Outcomes:

Executable definitions instead of tribal knowledge
Reusable pack patterns across teams
Cleaner interfaces and handoffs
Better change impact visibility
🧪

Early adopters who want leverage

Teams willing to collaborate on shaping the system while using it on a real slice of work.

Expected Outcomes:

Co-designed workflows aligned to your reality
Templates/packs you can keep using
Faster learning loop than “big framework rollouts”
A path to scale without bureaucracy

Frequently Asked Questions

Everything you need to know about Compliance Engine

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Join hundreds of organizations using Compliance Engine to achieve certification faster, reduce manual work, and maintain continuous compliance.

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