Business Rules Engine
for Build-First Teams

It depends on how much architectural flexibility you need and how many use cases will share the platform. A specialized vertical tool makes sense when you need a single, well-defined process out of the box and you're willing to pay enterprise license costs for vertical depth. A BRMS makes sense when you want to keep flexibility, avoid vendor lock-in, and reuse one platform across multiple processes over time.

The deciding factors are usually: how unique is your logic, how often will it change, how many use cases will share the platform, and how much you value owning it versus renting it. Organizations with a strong CTO or Enterprise Architect voice and a "we'd rather own it" mindset consistently choose the BRMS path.

DecisionRules works for both technical and business-led teams. The initial setup involves IT for integration, but day-to-day rule authoring sits with business analysts, risk teams, or pricing teams in a visual editor. You don't need a large engineering team to run it.

DecisionRules connects to your stack through a well-documented REST API. Your application sends input data, the engine evaluates the rule, and returns the decision. The same pattern works whether you're calling from a CRM, an ERP, a core banking system, a loan origination platform, or a custom application.

For most teams, integration takes hours, not weeks. We provide official SDKs for JavaScript, Node.js, Java, .NET, Angular, React, Python, PHP, Go, and Oracle PL/SQL, plus ready-to-use code snippets inside every rule. There are also native nodes for n8n, Zapier, and Apache Kafka, an Excel Add-In for testing rules against real data, and a native Power BI integration for analytics on rule outcomes.

When you need DecisionRules to pull data from external systems during evaluation, our Decision Flow includes REST API Client nodes and DB Connectors with secure credential management. You stay in control of where data lives and how it flows.

DecisionRules offers three deployment options. Public Cloud runs as SaaS on AWS, with hosting regions in the US and Europe so you choose where your data resides. Private Managed Cloud gives you a dedicated environment with the same managed experience. Self-Hosted lets you run DecisionRules in your own infrastructure via Docker or Kubernetes, including air-gapped environments.

On the security side, DecisionRules is ISO 27001 certified and SOC 2 audited by BDO. Both reports are available under NDA. We're GDPR compliant with a designated Data Protection Officer.

The platform includes audit logging on every rule change and execution, multi-factor authentication, role-based access control with default and custom roles, and SSO integration with your identity provider. Data is encrypted at rest using cloud-managed keys and in transit via TLS. Annual penetration tests are run by independent contractors, and Docker images are continuously scanned with a maximum 14-day remediation window for any identified vulnerability.

For full details and to request our SOC 2 report, see our Trust Center .

DecisionRules has two distinct AI capabilities. They serve different purposes and shouldn't be confused.

The AI Assistant is a build-time tool. It lives inside the Decision Table Designer and the Rules List, and helps your team create and refine rules faster. Paste a credit policy as text, upload a document, or describe a pricing scheme in plain language, and the Assistant returns a structured, editable Decision Table. Inside an existing table, it explains what a rule does in plain language, generates test data that matches a specific row, and writes function expressions for individual cells. Based on our internal testing, this reduces rule authoring time by around 60 percent and translates to a 3x increase in daily productivity for analysts working in tables.

The AI Agent is a runtime rule type. It sits alongside Decision Tables, Decision Trees, Flows, Scripting Rules, and Lookup Tables in our rule catalog, which means you can call it via the same REST API as any other rule. This is for use cases where rule logic benefits from LLM reasoning at execution time, for example interpreting unstructured input before passing it to a deterministic Decision Table.

Your decision logic stays yours. The AI Assistant is built to enterprise standards, with a choice of US, EU, or on-premise data residency, and your data is not used to train external models. For full technical details on the AI Agent rule type, see our documentation .

The AI Assistant is built into the Decision Table Designer and the Rules List. It generates Decision Tables from written instructions, uploaded documents, or structured data, so business logic moves quickly from idea to execution. Paste a credit policy as text, upload a PDF, or describe a pricing scheme in plain language, and the Assistant returns a structured, editable table you can refine.

Inside an existing table, the Assistant explains what a rule does in plain language, generates test data that matches a specific row, and writes function expressions for individual cells based on your description. Based on our internal testing, this reduces rule authoring time by around 60 percent and translates to a 3x increase in daily productivity for analysts working in tables.

Your decision logic stays yours. The AI Assistant is built to enterprise standards, with a choice of US, EU, or on-premise data residency. Your data is not used to train external models.

The AI Assistant is distinct from our AI Agent feature. The Assistant helps you build and understand rules. The AI Agent is a separate rule type used at runtime, alongside Decision Tables, Decision Trees, Flows, and Scripting Rules.

The AI Agent is a native rule type that brings interpretation and reasoning capabilities into your decision processes. Unlike traditional Decision Tables that rely on explicit, hard-coded conditions, the AI Agent leverages large language models (LLMs) to understand context and unstructured data.

Within DecisionRules, it primarily handles three types of tasks:

The AI Agent is not a chatbot—it is a fully integrated component of your decision engine, callable via the same REST API as any other rule. It allows you to automate the ambiguous, language-heavy parts of your business logic that previously required manual human review.

Most teams have a working proof of concept inside two weeks. A first production use case (one process, a few rule sets, integration with one system) typically goes live in 4 to 8 weeks. Migration from a legacy decisioning platform takes longer because of testing requirements, with mid-complexity processes typically migrating in roughly 10 to 18 days of focused work plus regression testing.

You can start without talking to anyone. Sign up for the free tier, build a Decision Table, and call it from your application via API. Most developers have a working rule running inside 30 minutes. If you're evaluating DecisionRules for an enterprise use case, regulated environment, or migration from an existing platform, book a demo and we'll walk through your specific scenario.

A BRMS is software that lets organizations define, manage, and execute business logic separately from application code. Instead of hard-coding policies, pricing tiers, eligibility checks, or scoring models inside individual systems, teams maintain them in one place and call them through APIs.

This separation matters because business rules change far more often than the systems that use them. A bank might update its risk thresholds quarterly. An insurer adjusts underwriting criteria by region. An e-commerce platform tweaks pricing rules weekly. With a BRMS, those updates happen in a visual editor and go live without a software release.

DecisionRules is a cloud-native BRMS built around Decision Tables, Decision Trees, Decision Flows, and Scripting Rules. It evaluates rules through a REST API and is used across credit scoring, pricing, fraud detection, eligibility, and routing in financial services, insurance, e-commerce, healthcare, and logistics.