System of Records Graph
Connects every entity and relationship across your data into one queryable model.
System of records graph for AI agents
Your AI can read every record. It still doesn't understand your business.
Flaibot builds and maintains the relationship layer across your systems of record automatically, so AI agents can reason across the business with full control, auditability, and trust.
Flaibot Relationship Layer
Systems linked 18 ยท Drift 0.03%
ORGANIZING
30.0% grounded
Live Graph auto-generated from systems of record
Relationship Layer
- Connects assets, people, processes, events, and decisions
- Continuously adapts as systems and workflows change
- Turns siloed records into one queryable operating model
Agent Grounding
- Agents reason across relationships, not isolated documents
- Every conclusion cites the records behind it
- Access, outputs, and decisions remain governed and auditable
Description
Flaibot builds the graph first, then lets agents operate through it: grounded in business context, constrained by policy, and traceable by design.
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The problem
Processing data is not the hard part. Connecting it is.
Most platforms can ingest, index, and summarize enterprise data. But real operational intelligence means knowing how assets, people, processes, events, and decisions relate to one another. Without that connective layer, AI can search your business. It can't reason about it.
Why this has been hard
Understanding your business used to take a services army.
Building a useful ontology has meant six-figure engagements, hand-built data models, and forward-deployed teams embedded for months, with the result going stale the moment your systems changed.
Flaibot replaces that with software: it generates the relationship layer automatically and keeps it current as your data moves. Live in weeks, not quarters, with no consultants to keep on retainer.
The solution
Flaibot turns your systems of record into governed AI agents.
Autonomous Ontology Generation
Builds and continuously updates the relationship layer automatically. No data modelers, no manual mapping, no implementation project.
Governed Secure OS
Constrains what agents can access, validates their outputs, and runs entirely inside your environment.
What you get
Reasoning you can trust, not just answers you have to check.
- Source-grounded conclusions Agents cite the records behind every conclusion.
- Complete auditability Every access, output, and decision leaves a compliance trail.
- Controlled deployment Run in your own cloud, on-prem, or air-gapped environment.