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.
For teams
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.
When compliance enters the backlog
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.
A defined starting point
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.
Building with coding agents
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.
claude-code · mcp · rule.lookupExample
❯ 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
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
expectedControlType: ["documentation", "audit", "third-party-risk"]
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
Example lookup. Illustrative data.
What this helps your team do
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.
In your workflow
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.
Who RuleMesh is for
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.
This page is also published for machine readers: rulemesh.com/for-teams.md