Company Knowledge Infrastructure
Make every company legible and executable to AI agents.
Operandi captures fragmented organisational knowledge, models it into structured processes, and exposes it through agent-native interfaces — so agents can act consistently without a human in the loop.
Three-layer platform
01
Capture & Legibility
Ingests fragmented company knowledge from Slack, Linear, GitHub, Notion, call recordings, emails, and databases into a structured representation of how your company operates.
02
Knowledge Modelling
Structures ingested data into a living model of processes and decisions — refunds, pricing exceptions, escalation policies, incident response — capturing both documented and tacit know-how.
03
Agent Execution Interface
Exposes the knowledge model through machine-readable, agent-native interfaces: skills files, APIs, MCPs, CLIs, and executable specs that agents consume directly without human mediation.
Closed loop
The model stays current.
A feedback system monitors agent outcomes against stated intent and continuously updates the knowledge model — preventing drift as your company evolves.
# policy.refund.threshold
Start here
Customer support.
Reliable by design.
Operandi starts with the highest-volume, most measurable problem: support agent automation. Refunds, escalations, and policy enforcement — grounded in your actual policies, not hardcoded logic that breaks when things change.
Explore the knowledge dashboard →Policy sources ingested
12
integrations
Structured policies
47
active
Agent actions grounded
1,240
this week
Human review rate
2.1%
↓ from 34%