Layer
Data flows
Connected, monitored pipelines that move information from the systems where it lives into a place where it can support a decision — with the lineage of where each number came from kept intact.
Solutions
DataExos helps organizations connect the data, systems, workflows, and review paths that decision-makers need when speed, context, and accountability all matter.
The problem
The decision is urgent, but the data sits in four systems that don't agree. Someone pulls a report; someone else pulls a different one. A recommendation lands in an inbox with no trail of how it was reached.
The choice gets made — and weeks later no one can reconstruct what was known at the time, who approved it, or on what evidence. When the stakes are high, missing context and missing accountability are the same problem.
Our point of view
DataExos builds the connective layer that brings the right data, context, and review path to a decision-maker at the moment of the decision — and records what was decided, by whom, and on what basis. AI helps assemble and summarize; people decide. Recommendations are surfaced with their evidence and routed through review, so speed never comes at the cost of accountability.
Faster decisions are only better decisions when the context and the record come with them.
What it's made of
Each layer can stand on its own, but they compound: connected data feeds the context, the context informs the review, and the review leaves the record.
Layer
Connected, monitored pipelines that move information from the systems where it lives into a place where it can support a decision — with the lineage of where each number came from kept intact.
Layer
The surrounding picture a decision-maker actually needs — current state, history, constraints, and relevant signals — assembled in one place instead of reconstructed by hand each time.
Layer
Views built on a single agreed source of truth, so two people looking at the same question see the same numbers — and built to be read by executives, not only analysts.
Layer · with review
AI drafts summaries and surfaces recommendations from connected, approved sources — always presented with their evidence and always routed to a person for review before they carry weight. The recommendation never bypasses the reviewer.
Layer
One authoritative version of the facts that matter, reconciled across systems, so decisions stop being delayed or disputed by data that disagrees with itself.
Layer
Defined review and sign-off paths so the right people see the right decision at the right step — with permissions, sequencing, and escalation built in.
Layer
A durable record of what was known, what was recommended, who reviewed it, and what was decided — so a decision can be explained and reconstructed later.
Where it shows up
A leadership team decides against a single reconciled view of spend and pipeline — with the approval chain and supporting evidence captured automatically.
An operations lead reads an AI-prepared summary of an exception, sees the records it was drawn from, and decides whether to act — routed for review, not auto-applied.
A workflow produces an evidence trail showing what data informed a decision, who signed off, and when — assembled as the work happens, not reconstructed afterward.
A program owner aligns three reporting systems on one source of truth, so weekly status reflects the same numbers everyone is accountable to.
The standard
Decision infrastructure is only trustworthy if the controls are real. DataExos builds these systems to the DataExos-grade standard — ownership, permissions, data lineage, monitoring, documentation, and human review built in from the start.
AI summaries and recommendations are always surfaced with their evidence and always routed through review; "with review" is a structural property of the system, not an optional setting.
Tell us where the decisions get made, where the data lives today, and what has to be defensible afterward. We'll help map the data flows, context, review paths, and trails that should sit underneath.
