Intuitive visual rules engine

Why rules transparency is a competitive advantage

When pricing logic lives in a script that only one person can read, every change is a risk — and every change request creates a bottleneck. Business users can't validate what they can't see, which means errors accumulate silently until they show up in a mispriced deal or an invalid order. A visual rules engine eliminates that risk by making the logic legible to the people who own it: product managers, pricing leaders, and sales operations — not just the admins who maintain it.

Building rules on the visual canvas

In quortix.ai, constraints, pricing tiers, eligibility conditions, and bundle rules are built as visual flows on a canvas. Dependencies between rules are shown as edges — you can see at a glance which rules affect each other, which products share a pricing condition, and what fires when a specific option is selected. AI agents can draft new rules from a plain-language description over MCP, placing them on the canvas for you to review and connect. Changes go through the visual diff before they're applied.

• Constraint rules: enforce valid configurations and block incompatible combinations.
• Pricing rules: tiered, attribute-based, and volume-sensitive pricing on the canvas.
• Eligibility rules: control which products, options, and promotions are available to whom.
• Dependency graph: see which rules interact before you ship a change.

Testing rules before they reach a customer

The quortix.ai rules engine ships with a built-in simulator. Load any rule set, specify a configuration scenario, and run it — the simulator shows exactly which rules fired, in what order, and what outputs they produced. That means you can validate a pricing change, a new constraint, or a promotional rule against real examples before approving it. No more discovering a rules conflict in a live quote.