From Data to Decisions
Enterprises are awash in data. Every system, workflow, and customer touchpoint produces more of it. Yet leaders still make high-stakes calls with only part of the picture.
The problem isn’t volume — it’s fragmentation. Dashboards describe the past, copilots are hard to verify, and spreadsheets fray under complexity. It’s like flying a plane with instruments that don’t sync: you react instead of being in control.
The real challenge of modern enterprise decision-making is closing the gap between data abundance and decision confidence.
The Monday Morning Test
It’s Monday. The exec team walks in with dashboards, a thick deck, and spreadsheets. The headline lands. It’s the second- and third-order questions that demand connected context: “Which customers? Which cohorts? What changed in mix? What lever next?”
Everyone knows the answers are in the data — somewhere. But no one can get to them with speed, clarity, and confidence.
That’s not an effort problem. It’s a systems problem.
What “Decision-Grade AI” Means
Decision-Grade AI isn’t prettier charts or faster chat. It’s insight leaders can trust and act on — in real time, at enterprise scale.
To be decision-grade, AI must:
Understand context. Connect interdependent datasets across finance and operations and model their relationships, so metrics reflect reality.
Ensure traceability. Every answer is verifiable and defensible — with sources, lineage, and auditability.
Scale analysis. Explore thousands of questions in parallel so leaders don’t miss what matters.
That’s the standard we built Summation to meet.
Proof in the Field
For a global retailer, Summation surfaced eight-figure revenue and cost opportunities by orchestrating a team of agents to probe the business in depth and uncover hidden value.
Ahead of a QBR, Summation’s Deep Dive capability executed thousands of analyses in a few hours — work that would have consumed analysts for weeks. The breakthrough wasn’t just speed; it was depth. Where a human team has limited bandwidth, Deep Dive keeps investigating, crossing silos and following evidence until the drivers are clear.
That’s the difference between a team stuck in the Monday Morning Test and one that walks in with answers — ready to decide. It’s analysis no human team or general-purpose LLM can consistently deliver. That’s what makes Decision-Grade AI business-critical.
The Future of Decision-Making
Summation is the first AI-native platform built to redesign how enterprises make decisions. By unifying fragmented data, orchestrating AI agents at scale, and enforcing traceable verification, Summation gives leaders the clarity to act with confidence.
With Summation:
Reviews shift from quarterly rituals to continuous cycles.
Leaders don’t just see what happened — they see why and what to do next.
Organizations move faster, operate smarter, and spot opportunities competitors miss.
In the end, enterprises don’t win by having more data. They win by making better decisions.