Integrations
InRule Integrations
Your systems, your AI tools, one governed connection
InRule Integrations connects InRule to enterprise systems, developer APIs, and runtimes across self-hosted, SaaS, cloud and hybrid environments. MCP extends that same governed connectivity to the AI tools and autonomous agents your teams already use.
Integrate decisions with
your enterprise systems
Enterprises lose time and take on risk every time they connect a third-party system or embed decisions into a new environment. InRule closes that gap with connectors, APIs, and runtimes built to fit your architecture, extending the same governed connectivity to the AI tools your teams already use. Business users reach governed decision logic from the tools they work in every day, without breaking flow. Agents interact with rules through a governed interface, not a workaround. And IT keeps the control and auditability it requires, at every integration point.
API-first design
Stable, auto-documented APIs with Swagger contracts enable fast onboarding and resilient integrations. Technical teams can embed decision services into any application or event-driven workflow.
JavaScript runtime
Execute decision logic natively in browsers, mobile apps, or data platforms (including Snowflake) for low-latency, in-context processing.
MCP connectivity
The InRule MCP server extends governed decision context to the AI tools and autonomous agents your teams already use. Available now for both human and agentic use cases.
Flexible deployment
Self-host, use InRule SaaS, deploy in the cloud or run across hybrid environments aligned with your enterprise architecture. Runtime adapts to where your decisions need to execute.
Choosing InRule was easy. We had heard about them for years so we were very familiar with them. Their ability to integrate into our custom content management application and their ongoing support from the beginning of the sales process all the way through the product launch set them apart from other vendors.
– Robin Kraft, IT Project Manager ASCP
How InRule fits your architecture
Connect enterprise systems
Prebuilt connectors for Salesforce, Dynamics, and SAP. Governed decision logic reaches the systems your business already runs on.
Configure APIs and events
Event-driven triggers embed decision services wherever decisions need to fire, from customer interactions to back-office workflows
Extend for developers
InRule’s MCP server connects governed decision content to the AI tools and agents your teams already use. Business users don’t need to enter the InRule Platform to ask a question. Agents don’t get unchecked access to regulated rules. Governance doesn’t relax.
MCP: governed decisioning for AI tools and agents
A business user working in Copilot, ChatGPT, or any MCP-compatible tool can ask questions about decision logic, understand which rules a new requirement will affect, and propose a change in plain language, without opening InRule .
MCP and the AI Harness translate that intent into a structured rule edit, grounded in your actual model. IT reviews and approves the change in AI Controls before production. Every step is human-controlled and auditable.
Choose your AI. Choose where it runs.
Select the AI models your risk team approves and the regions that fit your security and data-sovereignty requirements, instead of inheriting whatever your platform vendor chose for you. For a bank in Frankfurt or an insurer in Paris, that’s not a preference: it’s the difference between an AI strategy compliance can sign and one it can’t.
Agents: agentic workflows, fully governed
When your organization builds agentic workflows, InRule’s MCP is ready. Agents can learn about rules, suggest edits, and create new logic. InRule governs every step. AI Controls define what agents handle autonomously and what requires human sign-off.
- A daily report of rule changes published to a team channel
- A regulation listener agent that suggests rule edits when policy changes
- Agents creating rules to support larger automations
InRule AI controls
Choose the right model and region
Your organization controls which AI models are used and which regions process your data, so AI participation meets your security and data-sovereignty requirements from day one.
Govern the context AI can access
MCP gives access to governed decision context directly, not a static export or a file upload that drifts out of sync. AI always works from the live, governed source.
Keep humans in the approval path
Every change proposed through MCP routes through InRule's standard review and approval process before it reaches production. Agents and business users can propose. InRule governs what happens next.
Related case studies
From rules to results
Explore how leading enterprises in regulated industries use InRule to move faster, stay compliant, and reduce risk.
