Unify
Connect every data source — operational systems, warehouses, SaaS, documents — into one governed graph. Data stays in place; context gets connected.
Decision Intelligence
The Decision Intelligence Platform Built on a Knowledge Graph
Dashboards describe. Decisions deliver. Fluree unifies your data, adds semantic context, and puts AI, machine learning, and graph analytics to work on governed decisioning — so every operational decision is contextual, explainable, and traceable to the data behind it.
Definition
What is a decision intelligence platform?
A decision intelligence platform combines data integration, analytical modeling, AI, and workflow automation to turn enterprise data into better decisions — augmenting human judgment on some decisions and fully automating others. It’s the evolution of the analytics stack: from describing the business to deciding for it.
Traditional BI stops at insight — a chart someone must interpret, built on extracts that were stale before the meeting started. Decision intelligence closes the loop: it connects disparate data sources, applies graph-grounded AI and conversational analytics, and executes decision flows with governance built in.
Fluree grounds decisioning in a governed knowledge graph — so every decision draws on unified, contextual data with citations, policy enforcement, and full lineage. Not siloed extracts and statistical guesses.
How does a decision intelligence platform work?
Four stages, one governed graph. Data integration, semantic modeling, analysis, and execution share the same context and the same policy — so intelligent decisions ship without integration sprawl.
Model
Define the semantic layer: entities, relationships, and business vocabulary. AI drafts the model from your data; your team governs and publishes it.
Analyze
AI models and graph analytics run over connected context — surfacing insight, scoring risk, and detecting anomalies that siloed tools miss.
Act
Decisions execute: automated where confidence is high, escalated to humans where it isn’t. Every action is logged, cited, and auditable.
Core CapabilitiesSix capabilities every decision
Six capabilities every decision
intelligence platform needs.
Unify disparate data without moving it
Decisioning is only as good as the data behind it. Fluree connects databases, SaaS apps, warehouses, and documents into one governed view — 300+ connectors, virtually merged, never physically centralized.
- 300+ connectors across operational systems, files, and content
- Multi-source federation from day one — data stays where it lives
- Breaks down data silos without another rip-and-replace project
Business intelligence vs.
decision intelligence.
BI tells you what happened. A decision intelligence platform tells you — and increasingly decides — what to do next. The difference starts at the data foundation.
Capability | Traditional Business Intelligence | Fluree Decision Intelligence on Fluree |
|---|---|---|
Core question | What happened? | What should we do next? |
Output | Dashboards and static reports | Decisions, recommendations, and actions |
Data foundation | Extracts copied into a BI silo | Unified, governed knowledge graph |
Context | Tables with implicit meaning | Entities and typed relationships |
Who uses it | Analysts building for stakeholders | Technical and non-technical teams, plus agents |
Cadence | Scheduled refreshes, stale by review | Live data — answers change when data changes |
Automation | None — humans interpret charts | Automated decision workflows with human-in-the-loop controls |
Explainability | Depends on the analyst’s notes | Citations, lineage, and policy on every answer |
Governance | Application-level, per tool | Data-centric — policy travels with the data |
What problems does decision intelligence solve?
The highest-ROI use cases share a shape: frequent, high-volume decisions that depend on data scattered across the organization. Here’s what that looks like in production.
What should you look for in a decision intelligence platform?
Eight checks that separate platforms that centralize decisioning from tools that just add another dashboard. Use them on every vendor — including us.
A unified data foundation — not another silo
If the platform copies your data into yet another proprietary repository, it adds a silo instead of removing one. Look for federation that leaves data where it lives.
A semantic layer both humans and AI share
Decisioning breaks when every tool defines “customer” differently. One governed vocabulary should serve dashboards, analysts, and agents alike.
Explainable answers with citations
Every recommendation should trace to the sources queried and records retrieved. If you can’t audit a decision, you can’t defend it.
Governance enforced at the data layer
Policies should travel with the data — evaluated at query time for every user and agent — not be re-implemented in each consuming app.
Open standards, no lock-in
W3C standards — RDF, OWL, SPARQL, JSON-LD — plus MCP keep your semantic model and your decisioning logic portable.
Fits the stack you already run
Verified queries should promote into your existing BI and warehouse tools, and any MCP-compatible client — not force a rip-and-replace.
Human-in-the-loop controls
Fully automated where confidence is high; escalation policies where judgment matters. The platform should make that boundary configurable, not implicit.
Time to value in weeks
AI-assisted modeling and entity resolution should deliver a working decision foundation in weeks — not a 12–18 month integration program.
Getting Started
How do companies get started with decision intelligence?
Start with one decision domain, not a platform migration. Connect its data sources into a governed graph, let AI-assisted modeling draft the semantic layer, and put augmented decisioning in front of the team that owns the decision.
From there, expansion is incremental: new sources join the graph without reintegration, verified queries promote into your existing BI stack, and automation grows as trust grows — routine decisions first, judgment calls behind human-in-the-loop escalation. Most teams ship a working, governed foundation in 4–8 weeks.
The transition from fully manual to augmented to automated decision-making is a dial you control — not a leap of faith.
FAQ
The decision intelligence playbook.
See the stack in action, then read how graph-grounded analytics and MCP are reshaping enterprise decisioning.
Unified Intelligence — live across every system that matters
A live MCP agent conversation spanning Salesforce, SAP, spreadsheets, and SQL.
Watch replay
The power trio reshaping business intelligence: GraphRAG, MCP, and LLMs
How graph retrieval, open protocols, and language models combine into decisioning infrastructure.
Read the articleIntroducing business intelligence — without the BI software
Why the next analytics stack starts with governed data, not another dashboard tool.
Read the articleRecognized by Gartner
Decisions your data can defend.
Unify your sources, add semantic context, and put governed AI to work on the business decisions that run your company — with citations, policy, and lineage on every one.