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Product · Platform MVP · The Behavioral Context Layer for Enterprise AI

Your AI doesn't know
who to route to. what to approve or dismiss. who's the right alternative. when to assign or escalate.

BehaviorGraph helps enterprise AI find the right person, choose a qualified backup, and escalate safely when documents are not enough.

It adds behavioral context: who people actually rely on, how decisions route in practice, and where work stalls. Powered by the Large Behavior Model. Try the live MVP →  ·  Watch the walkthroughs →

Live context
Analyzing organizational context...
L7
LEG-07 Primary owner
Senior Counsel · Legal · APAC contracts
Relevance0.92 Load38h/wk CentralityHigh
At capacity
Route to qualified backup
Decision pathLEG-07 → LEG-02 → Dir. Legal
Escalation SLA24h to Director
Peer reliance0.87 — peers consistently route this type of work here
Cross-teamProduct → Legal bridge active
GovernancePolicy-compliant
Audit trail logged · Metadata only · No content accessed

Integrates with your existing stack

Google
Microsoft 365
Slack
Jira
Salesforce
Box
ServiceNow
Workday
SAPSAP
Find the right expert
Route work to the person who actually handles it — not just the person the org chart says should.
Recommend a qualified backup
When the primary owner is unavailable, surface a qualified alternative — with context on why they're the right fit.
Escalate safely within policy
When documents aren't enough, escalate to the right authority — within approval bounds, with full context, auditably.
The missing layer

Enterprise AI is building on two tiers. The third is still missing.

Tier 1
Structural

Org charts, reporting lines, formal titles. Static. Reflects intended structure, not actual behavior.

HRISOrg chartJob titles
HRIS platforms · reporting tools · org chart systems
Tier 2
Informational

Documents, wikis, tickets, and meeting transcripts. Richer context, but still reflects what was written — not how work moves.

DocumentsWikisTicketsTranscripts
Enterprise search · knowledge bases · ticketing systems · workflow platforms
Tier 3
Behavioral BehaviorGraph

The tacit knowledge that lives in people's habits, not in documents. Captured at scale using behavioral science, validated in real organizations.

Tacit knowledgeCollaboration patternsPulse surveysWorkflow dataSilence signals
Research-backed. Privacy by design. Missing from every other AI stack.
Works with your stack

What BehaviorGraph adds to your existing AI.

BehaviorGraph plugs into your enterprise search, agent platform, or governance layer — adding the behavioral context that makes every AI decision more accurate.

People search

Find the expert, not just the file

Ask "who handles APAC vendor contracts?" and get the person peers actually rely on — with availability and a qualified backup. Not the org chart owner. The real one.

Agent routing

Agents that know who to involve

Before acting, your agent checks who has authority, who's available, and who to escalate to if the primary is at capacity. Organizational context delivered via API or MCP.

Escalation

Escalate with context, not just a ticket

When a decision needs a human, the right person gets it — with the reasoning, alternatives considered, and permission boundaries already attached. No follow-up required.

AI governance

Every AI decision traceable by design

Every routing recommendation is logged: who was chosen, why, what was skipped, and whether it followed your approval structure. Behavioral governance, not just rule-based guardrails.

Read more: AI governance and agent orchestration

Organizational Context Layer

Your org, as it actually operates.

AI works in pilots and verticals. But your org runs horizontally across teams, handoffs, and approval chains. When you optimize one team, others still drag execution down because the handoffs were never designed for AI. BehaviorGraph catches that org design debt so you don't need a reorg. And when AI can't answer, it escalates to the right person with the right context and permission boundaries.

Example: An agent detects an invoice stuck past SLA. The org chart says route to the Finance lead. BehaviorGraph knows she's at 120h/wk and only checking her priority list, identifies a qualified backup who handles the same contract type, and escalates to the Director if unresolved in 24h.

Signals in
Collaboration patternsCalendars, presence, meetings
Relevance & expertiseWho peers rely on, by domain
Pulse surveysTeam health & readiness
Workflow & handoffsApprovals, escalations, routing
Metadata-only · privacy-first
Live Org Map · 7 teams · 42 people / 2,000 total employees
hover a node to inspect
ENG-01 DO NOT ROUTE 89h/wk · Bridge connector across 3 teams
Risk: if this person burns out, knowledge flow between Eng, Product, and Data breaks
SAL-14 OVERLOADED 92h/wk · 4 teams route through here
Action: redistribute to SAL-16 (available, same domain)
OPS-29 SAFE TO ROUTE 19h/wk · Peer-endorsed for cross-team handoffs
Suggested backup for OPS-25 (overloaded)
Large = high centrality
Bridge connector
Overloaded / bottleneck
Peer reliance (thick = strong)
Routing path
Relevance: who peers rely on for this type of work
Plugs into
Enterprise searchAdd people context to every result
Agent orchestrationRoute with real authority & fallback
AI governanceBehavioral context for smarter guardrails
Workflow systemsFix handoff gaps without a reorg
API-first · works with your existing stack
Permission-AwareRespects every access boundary at runtime
Policy-AlignedRoutes within your approval structure, never around it
Human-in-the-LoopKnows when to defer. Escalates to qualified people, not just managers
Full Audit TrailEvery routing decision is traceable and explainable
Metadata-OnlyReads patterns, not message content — privacy by design
The Enterprise AI Stack
Enterprise AI systems require three layers to operate inside real organizations.
Model Layer
Foundational reasoning, language, and code models.
Content & Data Layer
Enterprise documents, knowledge bases, and RAG systems.
Organizational Context Layer — BehaviorGraph
Behavioral mapping of networks, expertise, and workflow.
Designed by behavioral science and enterprise knowledge management researchers.
Built on years of research into how organizations actually coordinate, decide, and transfer knowledge.
Open platform

Access organizational context from anywhere.

APIs, MCP, RAG enrichment, or direct chat. Plug behavioral context into your existing stack however it fits.

Agents API + MCP
POST /v1/agents/route
// Agent requests routing decision
{
"route_to": "LEG-02",
"reason": "primary at capacity",
"escalation": "24h → Director"
}

Agents API + MCP

Expose routing and escalation context to agent platforms via REST API or Model Context Protocol.

Context AI for Search
GET /v1/search/enrich
// Enrich search with org context
{
"owner": "LEG-07",
"relevance": 0.92,
"backup": "LEG-02"
}

Context AI for search

Plug into your enterprise search to enrich every result with people context, relevance, and routing.

More integration options
Chat API
POST /v1/chat/ask
// "Why is onboarding slow in Eng?"
{
"bottleneck": "ENG-03",
"load": "42h/wk, 6 teams depend",
"suggestion": "Redistribute to ENG-07"
}

Chat API

Embed conversational org intelligence into your apps. Ask questions, get answers grounded in behavioral context.

RAG Enrichment
POST /v1/rag/enrich
// Inject into your RAG pipeline
{
"chunks": ["...doc results"],
"add_people": true,
"owner": "LEG-07",
"escalation": "Dir. Legal"
}

RAG enrichment

Inject people context into your retrieval pipeline. Re-rank by expertise, add owners, surface escalation paths.

Live Chat
Who should review the APAC contract if Legal is at capacity?
BehaviorGraph Route to James Park — relevance 0.78, available. Escalate to Dir. Legal if unresolved in 24h.
Governance-compliant · audit trail logged

Live chat

Ask your org questions directly. Real-time answers about who to route to, who's available, and how work flows.

FAQ

Common questions

What is BehaviorGraph?

BehaviorGraph is the behavioral context layer for enterprise AI. It turns collaboration patterns, relevance signals, pulse surveys, and workflow data into a queryable layer that enterprise search, AI agents, and governance platforms can use at runtime to find the right person, route decisions correctly, and escalate with full context.

Why do enterprise AI platforms need behavioral context?

Enterprise AI reads documents and org charts, but doesn't know how the organization actually works. Who do people rely on? How do decisions route in practice? Where do bottlenecks form? This missing behavioral layer causes AI to misroute work, miss the right person, and stall on escalation.

Does BehaviorGraph read emails or message content?

No. BehaviorGraph operates on metadata only: collaboration patterns, calendar signals, presence data, and pulse survey responses. It never reads message content, emails, or documents. Privacy by design.

How does BehaviorGraph work with AI agents and orchestration platforms?

Your agents call our API or MCP tools before taking action. BehaviorGraph tells them who to route to (based on org chart authority combined with behavioral relevance), who's available as backup (when the primary is overloaded, with qualified alternatives suggested and a human in the loop for confirmation), and when to escalate (with the full decision path and approval chain). You can use this alongside agent platforms like LangChain or CrewAI, or directly through our API without any other platform. We cover the part others don't: the organizational context that makes routing decisions accurate.

Request demo

Your AI already reads the docs. Give it the org.

BehaviorGraph works alongside your existing enterprise search, agent platform, or governance stack. If your AI is accurate on content but still misroutes decisions, stalls on escalation, or misses the right person, we should talk.