Reduce dependency on IT

Let business teams make updates on their own while InRule keeps things fast, secure, and compliant.

Enable faster decision changes

Business teams often wait on IT for even small updates, slowing their ability to react to market or regulatory changes. InRule lets analysts adjust decision logic directly, while IT maintains the right guardrails for governance and integration.

Simplified modeling
Simplified modeling

Business language modeling lets non-technical users create and manage rules, minimizing misinterpretation and reducing IT involvement. With InRule Vocabulary, rules are written in the language of the business, ensuring clarity from design to execution. This makes it easier to trust your rules and adapt quickly.

Trusted rules
Trusted rules

Versioning, testing, and validation features safeguard accuracy and compliance while giving IT confidence in every change. Business users can test effectively with irVerify, ensuring rules achieve their intended outcomes without introducing errors.

Seamless deployment
Seamless deployment

Updates move quickly from design to production, minimizing disruption while ensuring audit-ready transparency. Built-in safeguards and automation help teams deploy with confidence, knowing that updates won’t require costly rollbacks.

Align IT and business for agility

Organizations often struggle when every decision change requires IT cycles. Backlogs mount, response to regulations slows, and competitive edge is lost. InRule solves this by putting intuitive modeling tools in the hands of business users while giving IT the guardrails to maintain standards, security, and integrations.

The result is a balanced model: business owns agility, IT ensures compliance and scalability. Together, they deliver faster, safer, and more reliable outcomes.

Business agility in practice

Capture requirements
Capture requirements

Analysts capture requirements directly in business language using Vocabulary, ensuring policies are clear and aligned without waiting on IT to translate them.

Validate and test
Validate and test

Changes are validated with irVerify and regression testing, reducing the chance of introducing errors before deployment.

Governed deployment
Governed deployment

Version control and rollback features provide safe governance, so updates can move into production quickly but with confidence.

Bring rules to your data
Bring rules to your data

The runtime execution engine delivers decisions in the low tens of milliseconds, while the JavaScript runtime allows rules to run in browsers, mobile apps, or Snowflake procedures.

Trace and audit
Trace and audit

Visual Trace and Rule Application Reports record how every decision was made, creating audit-ready transparency for compliance and stakeholder confidence.

By utilizing the InRule rule authoring tools across our development and business departments we have been able to eliminate a lot of ambiguity between what the business users want and what the developers deliver.
– VP Information Systems, Residential Earthquake Insurance Company (insurance)

FAQ

Real questions. Real answers. Top questions from our community

Why is reducing IT dependency important?

When business teams wait on IT backlogs for updates, decisions lag behind regulations and customer needs. Empowering them speeds responsiveness without increasing risk.

Can business users really model rules?

Yes. Many modern rules platforms provide business language modeling so non-technical users can create and maintain rules directly, reducing the risk of misinterpretation.

How does IT stay in control?

IT remains responsible for governance, security, and integration. Guardrails such as versioning, testing, and approval workflows keep decision changes compliant and aligned with enterprise standards.

Does this reduce IT’s role?

Not at all. It allows IT to focus on higher-value initiatives like architecture, integration, and innovation, while routine rule updates are handled by business teams.

What if our organization already uses multiple rules engines?

It’s common for large organizations to have more than one rules engine (due to acquisitions or departmental needs). In practice, teams often select a primary platform for new projects while letting existing engines continue to run where they’re already embedded.

Do we need to consolidate all our rules engines into one?

Full consolidation isn’t always practical. Many enterprises choose a “go-forward” strategy: new projects are built in a single chosen platform to avoid further fragmentation, while legacy systems are phased out gradually or left in place until retirement.

How do teams decide which projects to move to a new engine?

Organizations often start with projects that need faster change cycles, involve regulatory pressure, or have the highest IT backlog. These are good candidates because they benefit most from shorter turnaround and stronger governance.

What challenges come with running multiple engines?

The biggest risks are duplicated logic, inconsistent policies, and extra IT overhead. Governance becomes more complex, and audits may take longer.

What should I look for in a rules platform?
  • Business-friendly modeling so analysts can manage rules directly
  • Governance tools for versioning, validation, and approvals
  • Testing features to prevent errors before deployment
  • Integration options that fit your architecture
  • Deployment flexibility (on-premises, cloud, or hybrid)
  • Clear audit trails and transparency for compliance

Resources

Related resources

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