# Clear compliance requirements for the team building the product.

Give engineers and coding agents implementation requirements, control mappings and evidence expectations, especially when specialist support is limited.

[Get started free](https://rulemesh.com/get-started)

## A customer request or product change can create work your team has not planned for.

- **A customer asks for compliance evidence** Before the deal can progress, your team needs to explain what is implemented and find the records that demonstrate it.
- **A launch brings new requirements** Entering a market or changing how your product handles data raises questions about what needs to change.
- **An AI feature needs review** Your team needs to understand which requirements apply and what implementation and evidence they call for.
- **A coding agent needs regulatory context** The agent needs relevant requirements alongside the feature request so that they can inform its work.

These requests are easier to plan when the requirements and evidence expectations are defined before implementation starts.

## Start with requirements your engineers can work from.

See what needs to be implemented, which controls can support it and what evidence to provide.

For the regulations it covers, RuleMesh provides structured requirements linked to their source provisions, with control mappings and evidence expectations.

Your team can assess what applies and plan the implementation without starting from the regulatory text alone.

## Give your coding agent the requirements behind the task.

Through RuleMesh’s MCP server, coding agents such as Claude Code and Cursor can retrieve requirements, supporting guidance and evidence expectations while they work.

For a vendor onboarding workflow, for example, an agent can look up relevant requirements and use them to inform the implementation and proposed evidence.

### Review

Your coding agent works in its own environment.

Agents can submit evidence and update progress, but only a human can mark an item as verified.

### Worked example (Example lookup. Illustrative data.)

```
> add vendor onboarding workflow for a new SaaS subprocessor
// claude-code → mcp.rulemesh.lookup({ regulation: "gdpr", topic: "processors" })
RULE
  id: "itreq-32016R0679-art-28-para-28_1-req-1"
  cite: "GDPR Art. 28(1)"
  riskLevel: "High"
  responsibleRole: "Data Protection Officer / Third-Party Risk Manager"
REQUIREMENT
  expectedControlType: ["documentation", "audit", "third-party-risk"]
  SHALL implement processor due diligence assessment workflows
    IN     third-party risk management systems
    BEFORE processor engagement
    BY     evaluating technical and organisational measures,
           security certifications, and data protection capabilities
EVIDENCE
  - Processor due diligence questionnaires and completed responses
  - Processor TOM documentation and security certifications (e.g., ISO 27001, SOC 2)
  - Vendor risk assessment reports
  - Processor selection decision records
  - Periodic re-assessment records
```

## Plan implementation and evidence together.

- **Prepare customer responses** Use source-linked requirements and connected evidence to support responses with less repeated research.
- **Work with additional regulations** Access newly released requirements through the same structure and integrations your team already uses.
- **Prepare for review** Keep submitted evidence linked to the requirement it addresses, so that reviewers can follow the work.
- **Resolve questions earlier** Review requirements, guidance and evidence expectations while planning the task, before unresolved decisions lead to rework.

## Use requirements alongside your delivery work.

- **Jira app** Connect relevant requirements, implementation work and evidence in Jira. _Live on the Atlassian Marketplace._
- **MCP server** Retrieve requirements from Claude Code, Cursor and other compatible MCP clients. _Available now._
- **API** Bring requirements, control mappings and evidence expectations into your internal tools through a typed schema. _Design-partner preview._
- **Cloud policy output** Use requirements to inform policy output for Terraform, OPA and Azure Policy. _Design-partner preview._

The Jira app is live. More issue and project integrations are in development.

## For teams implementing compliance with limited specialist support.

RuleMesh supports regulated SMBs and SaaS/AI teams facing a live deal, product or regulatory deadline.

- The team building the product also handles compliance implementation.
- Specialist support is limited or shared across several projects.
- Engineers need clearer requirements before they can estimate and plan the work.
- A customer or reviewer needs evidence of what has been implemented.

Regulatory coverage is expanding across the EU, US and Australia. Every regulation released during an INTEL subscription is included at no extra cost.

## Explore the requirements behind your next implementation task.

[Get started free](https://rulemesh.com/get-started)