Short answer
Decision intelligence solutions apply one shared decision layer to specific jobs: IoT and digital twins for physical assets, fintech for financial decisions, sales autopilot for revenue teams, customer support for service, and training for workforce enablement. Each solution reuses the same data connections, knowledge graph, models and governance.
Solutions
IoTSensor and machine data into decisions — at the edge and in the cloud.Explore →Digital twin3D assets with live condition heatmaps and fast-forward scenarios.Explore →Fintech & financeCredit, fraud, treasury and FP&A decisions with audit trails.Explore →Sales autopilotNext-best actions, pipeline risk and grounded delivery promises.Explore →Customer supportTriage, answers and proactive outreach with humans in control.Explore →Training & enablementSOP copilots, skills matching and on-the-job learning.Explore →
By industry
Robotics & physical AIFleets that decide inside an autonomy envelope.Explore →ManufacturingMaintenance, quality and scheduling.Explore →Food & beverageHigh-speed lines and CIP.Explore →HealthcarePrior auth, claims and care.Explore →LogisticsRouting and exceptions.Explore →CannabisCultivation, compliance and retail.Explore →DefenseReadiness and sustainment.Explore →Oil & gasProduction and integrity.Explore →
Key takeaways
- One layer, many solutions.
- Shared context keeps functions consistent.
- Each new solution reuses what the last one built.
Frequently asked questions
Which decision intelligence solution should we start with?
The one with the most frequent, costly decision and data you already have — often maintenance timing, sales next-best action or support triage.