Category Archive
Posts filed under Insights.
A rule set that fires no rules gives you no error and no output to work backwards from. A goal-driven run turns that silence into a tree, where the deepest red node names the input that was actually missing.
A reference view for cloud architects: run AI Rule Engine in your own Azure subscription, point AI steps at your own Azure OpenAI resource, and expose governed decisions to AI agents over MCP - with the data boundary drawn where your compliance team expects it.
Thousands of MCP servers hand your agent data. Almost none hand it decisions. AI Rule Engine turns your business logic into governed, deterministic MCP tools - with per-agent permissions, explainable runs, and human approval gates an agent can carry but never bypass.
Why the expression language has no now() or random(), why re-fires key off real value changes, why AI results are remembered for unchanged inputs, and why an inference cascade still meters as one run. Determinism is what makes the rest trustworthy.
Different AI models excel at different tasks. AI Rule Engine lets you mix providers and models in one workflow so you can optimize for quality, speed, and cost at each step.