Every company runs the same execution loop — Decide, Ground, Act, Prove. Most companies break it at Ground and Prove. Intersector is where that loop runs continuously, with humans and AI agents working under the same rules.
Every serious decision goes through the same four steps: Decide. Ground. Act. Prove. Simple to name. Broken in practice in almost every organization.
Decisions are made in slides. No one grounds them in what's actually true about the organization today.
Work happens across 40 tools. No one can reconstruct how a decision turned into delivery.
Evidence lives in someone's inbox. Proving compliance means a two-week scramble every quarter.
Intersector runs the whole loop in one substrate, continuously — and makes the governed path the easiest path.
Most tools pick one: a knowledge graph, an AI agent framework, or a governance workflow. Intersector combines the three into a single layer that agents and humans share.
A living graph of your organization: services, products, data assets, cloud accounts, SLAs, contracts, certificates, domains, costs, decisions, policies, teams, skills. Ingested from your existing systems. Kept current by connectors and agents. Linked so one fact leads to another.
The workforce layer. Your people, with their teams and roles. 25 AI agents shipped out of the box, plus yours. A Private Skill Catalog your agents draw from — reusable, versioned, governed. MCP servers that let any capable AI client use Intersector as an execution surface.
One inbox. One approval policy model. One audit trail. Anyone — human or agent — can propose. Policy decides who can commit. Evidence is generated continuously, as a byproduct of work, not as a quarterly project.
Intersector's atomic unit of governed work is a Spec: a proposal to do something — adopt a policy, remediate a risk, ship a capability, refactor a service, sign a contract, retire a system.
Specs aren't documents. They're work items — RFCs, Decisions, Deliverables, Explorations — with a shared shape, a shared lifecycle, and a shared audit.
Follow a real scenario through all three primitives. Same shape applies to every governed decision in your organization.
Drafted in Intersector, or pasted from a regulator. The policy references the services it covers — pulled live from Knowledge.
The agent walks the Knowledge graph and lists exactly which services are affected, who owns them, and what remediation each needs. No one has to hunt. No one has to guess.
Pre-populated with the service, the policy, the remediation, and the deadline. The team can execute, delegate to an agent, or request an exception — all inside the governed path.
Humans do the parts that need judgment. Agents handle the repeatable remediation — updating configs, opening PRs, verifying state. Every action follows the approval policy.
At quarter-end, no one reconstructs anything. The report exists because the work existed. Evidence is continuous, not ceremonial.
A loop that used to take a quarter now runs in days — and the evidence is a byproduct, not a project.
Intersector sits on top of what you already run. Your stack keeps running. Governance just stops being a separate project.
Git stays Git. Intersector reads from it and writes governed changes back.
AWS, GCP, Azure remain yours. Connectors keep Knowledge current without exporting data.
Jira, ServiceNow, Linear continue to run. Issues flow between them and Intersector's Inbox.
Slack, Teams, whichever. Intersector posts, listens, and routes work through where your teams already live.
SOC, SOX, ISO, internal audit. Intersector produces the evidence they already consume — continuously, not quarterly.
No rip-and-replace. No 12-month rollout. Your first governed flow goes live in weeks, not quarters.
30 minutes. We'll map your current execution loop and show you what one governed flow looks like on your stack. No sales pitch — a working session.