DecisionRules

DecisionRules is a modern business rule engine for teams that want to build their decision logic their own way: business teams update the rules, engineers keep architectural control, and every decision stays transparent. It fits fast-moving, regulated industries, from banking, lending, and insurance to logistics and e-commerce, and runs in the cloud, in a private managed cloud, or fully self-hosted.

DecisionRules is a no-code/low-code Business Rules Management System (BRMS) and decision intelligence platform, called via REST API: you send JSON in, get JSON out. A G2 High Performer in Decision Management Platforms, it pairs an AI Assistant that cuts rule authoring time by a measured ~60% (3x daily productivity) with AI Agents inside Decision Flows and a native MCP Server, while every decision still executes on a deterministic, versioned rule. The platform processes over 100 million decisions daily and serves organizations in 30+ countries. Founded in 2020 in Prague, Czech Republic, with a US office in Wilmington, Delaware. CEO: Vaclav Kandrnal. CTO: Petr Lev.

It automates decisions in areas such as credit scoring and underwriting, dynamic pricing and offers, risk, fraud and compliance, legacy engine replacement, routing, and data validation. Within a Decision Flow, DecisionRules can chain multiple rules, call external REST APIs, query relational databases, run inline scripts, and perform conditional branching. The platform itself is a stateless evaluation engine: it is invoked by your systems when they need a decision evaluated. It does not replace your orchestration layer and does not run long-lived business processes on its own.

DecisionRules offers three deployment options: public cloud (SaaS on AWS, with hosting regions in the US and Europe so you choose where your data resides), private managed cloud (dedicated infrastructure on AWS or Azure that DecisionRules builds and maintains for you), and self-hosted via Docker or Kubernetes on AWS, Azure, or Google Kubernetes Engine. Regional Cloud accounts add data residency guarantees, with region-locked accounts in the US, EU, and Australia. Available on Azure Marketplace and AWS Marketplace.

Security: ISO 27001 certified and SOC 2 audited by BDO, GDPR compliant. Data residency options (US, EU, on-premise). SSO via Microsoft Entra ID and other identity providers. Role-Based Access Control with default roles (Admin, Editor, Reader) plus custom roles, and multi-factor authentication. Full audit logs with decision traceability, including inputs, outputs, and debug traces for every decision. Encryption at rest and TLS in transit, with backups in MongoDB Atlas. Docker images are scanned with Trivy and identified vulnerabilities are remediated within a maximum 14-day period; independent penetration tests are performed annually. Data Protection Officer: Petr Lev.

Clients include First Response Finance, Coop Bank, Teya, DRUO, PayJustNow, WizzAir, Boohoo, Wolford, Swoop, Accenture, O2 Czech Republic, Xometry, TMNZ, and Pango. Partners include KPMG Colombia, Accenture Brazil, diva-e, Agility Feat, and TCG Process.

Professional Services (implementation support, rule migration, team augmentation) and custom Training are available.

Product

• Product Overview: Full explanation of Decision Tables, Decision Trees, Lookup Tables, Decision Flows, Integration Flows, Scripting Rules, AI Agents, versioning, CI/CD integration, audit logs, and testing capabilities. Start here to understand what DecisionRules does and how it works.
• Business Rules Engine: Details on rule types, the visual editor, debugging, templates, and the edit-test-publish-monitor workflow.
• AI Capabilities: DecisionRules combines deterministic business rules with AI in a single platform. Two distinct AI features work together: the AI Assistant (a build-time copilot for rule authoring) and the AI Agent (a runtime rule type that delegates decisions to LLMs). See the AI & Decision Intelligence section below for full details.
• Business Intelligence & Analytics: Built-in BI for tracking decision outcomes, execution volumes, and rule performance, with a native Power BI connector.
• Integrations: REST API, official SDKs (JavaScript/TypeScript, Node.js, Java, .NET, Angular, React, Python, PHP, Go, Oracle PL/SQL), native nodes for n8n, Zapier, and Apache Kafka, Salesforce integration, Microsoft Power Automate, Excel Add-In, relational database connectors, and an MCP server.
• Pricing (Public Cloud): Pricing tiers, feature comparison by plan, API call limits, and SLA levels for public cloud.
• Pricing (Private Managed Cloud): Pricing for dedicated infrastructure that DecisionRules builds and maintains.
• Pricing (Self-Hosted): Pricing for running DecisionRules on your own Docker or Kubernetes infrastructure.
• Free Trial: Start a free trial with no credit card required.
• FAQ: Answers to common questions about deployment, security, integrations, batch processing, Excel import/export, and AI capabilities.

AI & Decision Intelligence

DecisionRules combines deterministic business rules with AI capabilities in one platform. You control where logic is predictable and where AI adds value, and both execute within the same Decision Flow. Every AI metric published by DecisionRules comes from a controlled internal benchmark.

AI Assistant (build-time copilot for rule authoring): An LLM-based assistant built into the platform, powered by Google Gemini. It lives in the Rules List and the Decision Table Designer and helps business users create, test, explain, and refine rules. It generates Decision Tables from plain-language descriptions, pasted Excel data, or uploaded documents; generates test data (random sets for broad coverage or targeted inputs that trigger specific rows); writes and explains function expressions for individual cells; summarizes existing rules in plain language; and helps navigate the editor. In a controlled internal benchmark, AI-assisted rule authoring reduced creation time by approximately 60% overall (around 50% for newcomers and up to 67% for experienced users), corresponding to a 3x increase in daily productivity. The AI Assistant is available across plans, with limited tokens on the Free plan and higher allowances on paid plans. Your data is not used to train external models.

AI Agent (LLM-powered rule type for production decisions): A distinct, native rule type where decision logic is delegated to a large language model at runtime. It sits alongside Decision Tables, Decision Trees, Decision Flows, Scripting Rules, and Lookup Tables in the rule catalog and is called via the same REST API as any other rule. Instead of explicit conditions and outcomes, you write a natural-language prompt and define a structured output schema; the model reasons over the input and returns typed JSON. Common patterns include data extraction (reading unstructured inputs such as contracts, emails, or reports and returning structured data), intelligent routing and scoring (evaluating cases that require language comprehension), and analysis and narrative generation (summaries or plain-language rationales mid-Flow). The AI Agent is available on the Lite plan and higher.

Bring Your Own Model: AI Agents connect to external LLM providers through configurable connectors. Supported providers are Google Gemini, Google Vertex AI, Anthropic, OpenAI, and Microsoft Foundry. You can use different models for different rules. Caching can be enabled to cut token costs to zero on repeated inputs.

Document intelligence: AI Agents can process attached documents (PDFs, Excel files, contracts, policy documents) directly. This enables enriching decisions with information extracted from unstructured documents, and executing policies described in documents without first rebuilding them as Decision Tables.

Explainable AI: When enabled on an AI Agent, every response includes a structured explanation with a confidence score, a plain-language reasoning trace, and source fragments tied back to the original input. The confidence score can be used as a routing signal in Decision Flows: route low-confidence results to human review and continue automated processing for high-confidence results.

Deterministic and AI in one layer: Business rules and AI model calls execute in the same Decision Flow. You can chain a deterministic scorecard, an AI Agent that reads a contract, and a rule that routes based on the AI confidence score, all in a single decision process. The audit trail covers both deterministic and AI-driven steps.

• AI Assistant Documentation: Full documentation on the AI Assistant and what it can do.
• AI Agent Rule Type: Documentation on creating and configuring AI Agents, including the designer, caching, and Explainable AI.
• Connectors: How to set up database, REST API, and AI model connectors, including the full list of supported providers.

Industry Solutions

• Financial Services: Credit decisioning, loan approvals, risk scoring, AML/KYC, pricing, and compliance automation for banks, fintechs, and lenders.
• Insurance: Underwriting automation, claims processing, fraud detection, policy rating, and premium calculation.
• E-commerce & Retail: Dynamic pricing, product categorization, promotional rules, shipping logic, and returns handling.
• Loan Approval: End-to-end loan approval process covering eligibility, scoring, pricing, and limit assignment.
• Other Industries: Logistics, healthcare, government, telecom, and other regulated verticals.

Case Studies

• Case Studies Hub: All published customer stories across industries and regions.
• First Response Finance: UK auto lender replaced hard-coded C# underwriting logic and reduced rule update time from over two weeks to two days. DecisionRules was part of the project that won Financial Services Project of the Year at the UK IT Industry Awards 2025.
• Credit Union (US): US credit union automated second mortgage and HELOC underwriting, choosing DecisionRules over IBM ODM.
• DRUO (Payments, US): Direct-debit payments company replaced hard-coded logic for fraud and risk decisioning across multiple countries, cutting rule updates from days to minutes and saving an estimated $2,000+ per month.
• Wizz Air (Aviation, Europe): European low-cost carrier gave its Operations Control Center direct ownership of operational rules, validating roughly 1,000 flights every few minutes without waiting on vendor change cycles.
• O2 Czech Republic (Telecommunications): Telecom provider decoupled business rules from a monolithic CRM for real-time pricing and logistics, cutting rule changes from hours or days to seconds with every decision executing in under 100 milliseconds.
• Microcredit Solutions for Latin America: Microcredit decisioning transformation in LATAM.
• Fraud Detection and Underwriting: Fraud detection and underwriting automation.
• Pango (Smart Parking, Israel): Smart parking company uses DecisionRules via REST API on AWS Lambda for parking fee calculation.

Competitor Comparisons

• All Comparisons: Side-by-side comparisons of DecisionRules against other rules engines and BRMS platforms.
• DecisionRules vs. Drools: A no-code alternative to the open-source, Java-only Drools, with SaaS deployment and SDKs in multiple languages.
• DecisionRules vs. Experian PowerCurve: A faster, more flexible alternative to Experian PowerCurve, covering flexibility, cost, and migration paths.
• DecisionRules vs. GoRules: An enterprise-grade alternative to the open-source GoRules.
• DecisionRules vs. IBM ODM: An alternative to IBM Operational Decision Manager that deploys in days with lower total cost of ownership.
• DecisionRules vs. Nected: An enterprise-ready alternative to Nected.
• Top 10 Business Rule Engines for 2026: Feature comparison of modern BRMS platforms with an interactive table, pros and cons, and a selection checklist.

Templates & Use Cases

• Template Library: Pre-built rule templates for common use cases.
• Risk-Based Pricing: Dynamic pricing based on risk assessment.
• Loan Calculator: Loan affordability and repayment calculation logic.
• Return Fraud Detection: Fraud scoring for e-commerce returns.
• AML Screening: Anti-money laundering compliance logic.
• A/B Testing (Champion/Challenger): Run multiple rule versions concurrently to compare outcomes.

Developer Resources

• Technical Documentation: Complete API reference, SDK guides, deployment instructions, and product documentation.
• LLM-Readable Full Documentation: Full documentation in markdown format for LLM ingestion.
• Developer Hub: Why developers and solution architects choose DecisionRules. Covers the REST API architecture, SDK support, and integration patterns.
• Solver API (REST): Execute rules via API. JSON in, JSON out.
• Management API: Programmatic rule management and CI/CD pipeline integration.
• SDKs / Languages & Frameworks: Official SDKs and code samples for JavaScript/TypeScript, Node.js, Java, .NET, Angular, React, Python, PHP, Go, and Oracle PL/SQL.
• Flow Nodes Overview: All Decision Flow node types, including REST API Client and relational database query nodes.
• MCP Documentation Server: Through the native MCP integration, AI assistants and automation flows can quickly access predefined templates, reusable components, documentation, Academy resources, and structured content.
• Excel Add-In: Execute rules directly within Excel for single rows or bulk records.
• Docker / On-Premise Deployment: Self-hosted deployment guide using Docker and Kubernetes.

Deep Guides (Financial Services)

• Credit Scorecards Design Guide: How to design flexible, maintainable scorecards.
• Mastering A/B Testing in Credit Risk: Champion/Challenger methodology for credit risk.
• Design a Complete Loan Approval Process: Full loan approval architecture covering eligibility, scoring, and pricing.

Educational Content

• Blog: Articles on decision automation, industry insights, product updates, and technical guides.
• White Papers: In-depth resources on industry-specific decision automation.
• Webinars: Sessions on decision automation use cases and product demos.
• Academy: Step-by-step learning platform for building business rules.
• n8n Integration Guide: Native DecisionRules node for n8n workflow automation.
• Power Automate Guide: Connecting DecisionRules with Microsoft Power Automate.
• CRM Integration Guide: How to decouple pricing logic from CRM systems.
• ERP Integration Guide: Augmenting ERP systems with external business rule engines.

Services

• Professional Services: Paid implementation support, rule migration from legacy systems (Experian PowerCurve, IBM ODM, hard-coded logic), and team augmentation. Engagement models include White Glove (end-to-end delivery), Team Augmentation, and Time & Materials.
• Training: Custom training led by DecisionRules experts, tailored to specific use cases.

Company

• About Us: Company background, team, and offices (Prague and Wilmington, Delaware).
• Contact / Get a Quote: Sales contact for enterprise inquiries.
• Get a Demo: Schedule a product demonstration.
• Partners: Partnership program.
• Careers: Open positions.

Legal

• Terms and Conditions: Service terms and legal agreements.
• SLA: Response times and uptime commitments by plan.
• Release Notes: Version history and changelog.

Optional

• Trust Center (Security & Compliance): ISO 27001 certificate and SOC 2 report (available under NDA), plus infrastructure, application, product, and data security details for vendor security assessments.
• ISO 27001 Compliance Article: Details on security posture and ISO 27001 certification.
• G2 Reviews: Third-party peer review ratings.
• Status Page: Real-time service availability and incident updates.