AI decision support that turns data into action.
Stop reading dashboards. Agents watch the data continuously, surface the decision that needs making, and recommend the next action with the reasoning and a confidence level.
From dashboards you read to decisions you act on.
A dashboard tells you what happened. Our decision support tells you what to do next, why, and how sure it is, then takes the action when you say go.
The SWARM, applied to decisions.
Surfaces decisions
Continuously watches the data and flags what needs your attention.
Explains the why
Every recommendation arrives with its sources and a confidence level.
Challenges the data
When inputs contradict the evidence, it pushes back instead of confirming.
Triggers the next action
Approve, and the recommended action runs inside your systems.
Grounded, multi-agent, explainable.
Decision support runs on the same agentic RAG and multi-agent SWARM as the rest of the platform, grounded in your data and deployed in your environment.
- Grounded retrieval, in your environment.
- A coordinating Synthesiser over domain agents.
- Multilingual, including Arabic and RTL.
The same engine, already deciding at scale.
AI decision support, asked and answered.
How is this different from a BI dashboard?
A dashboard shows you data and leaves the decision to you. Ours surfaces the decision itself, explains the reasoning with sources and a confidence level, and takes the action once you approve it.
What stops it from recommending the wrong thing?
Grounding and calibration. Every recommendation is retrieved from your own data, arrives with its sources and a confidence level, and the system challenges inputs that contradict the evidence instead of confirming them.
Does it act on its own, or wait for approval?
You set the threshold. Routine, low-risk decisions can run automatically; anything higher-stakes surfaces for approval first, then triggers the action inside your systems.
What data does it need to work?
A unified, real-time view of the systems the decision touches, typically built on Data 360. The agents reason over that view and cite it in every recommendation.
Give your team decisions, not more dashboards.
Start with a conversation about where the bottlenecks are.