"Grant Sarah Access." Which Sarah? Resolved in 52ms.
canonical identity resolution — one answer for every agent
The Challenge
- AI agent says "Grant Sarah access to Project Alpha" — 47 Sarahs in the directory, 3 projects named Alpha, zero disambiguation
- Without identity resolution, agents guess (security risk), ask clarifying questions (slow), or fail silently (useless)
- Every AI tool builds its own user lookup — fragile string matching, no organizational context, no governance
The Solution
- Canonical resolution: "Sarah from Engineering" resolves to one definitive match with 0.95 confidence in 52ms — built into the product
- Context-aware disambiguation: org position, team, reporting chain, and recent activity all factor into resolution automatically
- One resolution for every agent — Claude, GPT, Gemini, and custom bots all resolve identity the same governed way
The Difference
| Without IdentityRM | With IdentityRM |
|---|---|
| Agent guesses which Sarah | Canonical resolution with 0.95 confidence |
| Each AI tool builds own user lookup | One governed resolution for all agents |
| Ambiguity → wrong person gets access | Ambiguity → resolved in 52ms |
| No audit of resolution logic | Full decision trace: why this Sarah, not that one |
| String matching, no org context | Hierarchy-aware: position, team, reporting chain |
Without IdentityRM
Agent guesses which Sarah
With IdentityRM
Canonical resolution with 0.95 confidence
Without IdentityRM
Each AI tool builds own user lookup
With IdentityRM
One governed resolution for all agents
Without IdentityRM
Ambiguity → wrong person gets access
With IdentityRM
Ambiguity → resolved in 52ms
Without IdentityRM
No audit of resolution logic
With IdentityRM
Full decision trace: why this Sarah, not that one
Without IdentityRM
String matching, no org context
With IdentityRM
Hierarchy-aware: position, team, reporting chain
Confidence score — definitive resolution, not probabilistic guessing
Disambiguation — from directory noise to canonical match
Resolution, ownership, temporal state, cross-system synthesis
Ready to solve this?
See how agent identity resolution works in practice.
