Author, Test, Deploy, and Govern Decisions. Without Writing Code.
Decision Control gives analysts full ownership of the decision lifecycle — with built-in AI assistance, complete traceability, and governed promotion to production.
Drools Is Powerful. Getting It to Production Shouldn't Require Engineering.
Analysts build logic but can't deploy without developers. Policy changes take weeks.
No visibility into what's running or why a decision happened.
Decision Control gives analysts full autonomy over the decision lifecycle
while IT retains governance and control through Decision Control Tower.
DMN-Native Authoring
Visual DMN 1.5 environment (1.6 in progress). Zero code. Designed for analysts, not Java developers.
Integrated Decision Runner
Test models instantly with live data inside the platform. No deployment step. Inputs, outputs, and execution path in real time.
AI Assistant — Full Transparency
Built-in AI helps author, refine, and optimize decisions. Every AI change is fully visible — see exactly what was modified, accept or reject each change. Your analysts move faster without operating in the dark.
One-Click Publishing
Author to production in one step. Versioned. No pipelines. No engineering handoff.
Execution Logging
Every decision captured: inputs, outputs, user, timestamp, execution path. Prove why any decision happened.
Native MCP for AI Agents
Decisions become discoverable and executable by LLMs via Model Context Protocol. Your rules become deterministic guardrails for AI systems.
Observability
Prometheus-native metrics. Execution dashboards. Decision replay.
Rules + AI + Human Judgment In One Flow
Decision Control orchestrates deterministic rules, AI recommendations, and human expertise in a single governed flow. Full audit trail across every step.
IT Stays in Control. Analysts Stay Autonomous.
RBAC. Approvals. Promotion. Traceability — owned by IT. Decision Control Tower is where IT defines the rules of engagement. Analysts author and publish freely within the boundaries IT sets — and nothing reaches production without passing through IT-defined governance.
RBAC
IT defines granular permissions for authors, reviewers, and approvers. Every action in Decision Control respects the roles and policies IT establishes.
Approval Workflows
IT defines promotion controls. Decision changes move dev → test → prod only after passing IT-approved gates. No unreviewed changes reach production.
Full Traceability
Who changed what, who approved it, when it was promoted. Immutable logs. Exportable for regulatory review.
Multi-Environment Promotion
Managed flow across environments. Instant rollback. Change notifications at every stage.
Git Integration
Version synchronization with your repositories. Governed change management that fits your DevOps.
Governance Dashboard
Promotion status, pending approvals, environment health — all decision assets, all environments.
Not All Decision Platforms Are Built for Production
AI Assistant
Publishing
Execution logging
Governance
MCP / AI agents
Observability
Clear answers to your questions.
01 Do analysts need Java?
02 What is the AI Assistant?
03 What does Control Tower add?
04 Can AI agents use Decision Control?
05 Can I import my existing DMN files?
06 How does this compare to Business Central?
Give Your Analysts thePlatform They Deserve.
Author, test, deploy, govern with AI assistance and enterprise-grade control.
No credit card. Full access. Direct support.