UMNAI's Decision Intelligence Platform helps teams create AI decision engines where the logic behind every outcome is transparent, testable and editable.
Connect data, define objectives, apply rules and constraints, then deploy decision engines that produce both decisions and evidence by design.
Most AI platforms focus on prediction. UMNAI focuses on decisions.
The platform combines data-driven learning with explicit symbolic logic, giving teams a way to build decision systems that can learn from patterns, follow rules, enforce policies and explain outcomes.
Every decision can show what inputs were considered, which rules or constraints applied, and which factors influenced the result.
Train decision engines that identify patterns, relationships and signals in operational data.
Encode business logic, policies, thresholds and regulatory requirements directly into the decision process.
Generate evidence-ready outputs that show the reasoning behind each decision.
Ensure decisions follow the rules and constraints defined for the workflow.
Treat each decision engine as a standalone artefact that can be tested, deployed, monitored, rolled back and improved.
For teams building and running explainable decision engines.
Includes classification, scoring, core decision logic, evidence-ready outputs, API and CLI integration, data connections and core monitoring.
Best forEarly deployments, focused use cases and teams getting started with Decision Intelligence.
For teams operating in regulated, high-stakes or policy-heavy environments.
Adds runtime policy execution, a centralised policy registry, audit-grade evidence envelopes, structured exception handling and review workflows.
Best forWorkflows where decisions need formal review, traceability and governance.
For organisations scaling decision intelligence across teams, business units or markets.
Adds multi-team governance, long-horizon evidence management, enterprise integrations, tenant partitioning, encryption and advanced monitoring.
Best forEnterprise-wide decision programmes with complex governance, security and integration needs.
UMNAI is designed so explainability, rules, constraints and evidence are part of the decision process itself.
That makes it easier to inspect outcomes, improve logic, support audits, manage exceptions and keep human experts in control where judgement is required.
Talk to UMNAI about your decision workflow, integration requirements and governance needs.