Your agent can reason. It doesn't know your org.
AI agents hit a wall when they need to route work, escalate decisions, or act across teams. BehaviorGraph gives them the organizational context to act correctly, for individual users and across entire teams.
Agents fail at the org boundary
Your agent handles reasoning, retrieval, and tool use. But the moment it needs to involve a person or cross a team boundary, it guesses.
Routing by org chart
The agent routes a contract question to the legal team lead, who's on leave. The actual go-to person for vendor contracts is two levels down and in a different group.
No escalation logic
When the agent can't resolve something, it either retries or gives up. It doesn't know who has the authority to unblock the situation or who's available right now.
Hardcoded team rules
You've built routing tables, if/else chains, or manual configs. They break every reorg. They can't capture how work actually flows between teams.
Route to the right person, not the right title
When your agent serves an individual user (answering questions, filing requests, or handling approvals) it needs to know who actually owns a topic, who's available, and who has authority.
- Find the real SME for a topic, ranked by peer reliance, not job title
- Check availability and workload before routing
- Respect permission boundaries and approval chains
- Escalate to the right person with context when the agent can't resolve
// Agent needs to route a vendor contract question POST /v1/agents/route { "query": "vendor contract renewal for Acme", "domain": "legal/vendor-contracts", "action": "approval" } ─────────────────────────────────── // BehaviorGraph returns { "route_to": "LEG-07", "relevance": 0.92, "load": "38h/wk, available", "authority": "can approve up to $50K", "escalation": "LEG-01 (Director)", "reason": "Highest peer-reliance for vendor contracts. 4 teams route to this person." }
Orchestrate work across team boundaries
When your agent coordinates workflows that span multiple teams (handoffs, approvals, cross-functional projects) it needs to understand team dynamics, bottlenecks, and how work actually flows.
- Detect bottlenecks before they stall a workflow
- Route cross-team handoffs based on actual collaboration patterns
- Identify bridge connectors who span team boundaries
- Redistribute work when a team or person is overloaded
// Agent orchestrating cross-team feature launch POST /v1/agents/route { "query": "security review for payments feature", "teams": ["engineering", "security", "compliance"], "action": "handoff" } ─────────────────────────────────── // BehaviorGraph returns { "route_to": "SEC-03", "reason": "Bridge connector between Eng and Security. Handled 12 similar reviews this quarter.", "bottleneck_warning": "SEC-01 at 44h/wk, do not route", "handoff_path": ["SEC-03", "COMP-02"], "parallel_option": "COMP-02 can begin compliance review concurrently" }
Two lines to add org context to your agent
REST API or MCP (Model Context Protocol). Works with LangChain, CrewAI, AutoGen, or your own orchestration.
Before your agent takes a consequential action, ask BehaviorGraph who should handle it, who's available, and what the escalation path is.
If your agent framework supports MCP tools, BehaviorGraph registers as a tool your agent can call natively. No custom integration code needed.
Look up a person's behavioral profile: what they're relied on for, their current load, team centrality, and escalation path.
Before routing work to a team, check their health: bottlenecks, overloaded members, available capacity, and bridge connectors.
Stop hardcoding your org into your agents
BehaviorGraph gives your agents a live, queryable model of how your organization actually works: routing, authority, workload, and escalation paths that update as the org changes.
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