Use case · State & Local Government

Emergency Management

Put AI agents to work in dispatch, resource allocation, and public alerting, with hard limits so no ungoverned agent misroutes a responder or fires a false alert.

Talk to salesSee the platform
The risk

What an ungoverned agent gets wrong here.

Emergency management is where an agent's mistake reaches the public fastest. Agents are being brought into 911 and dispatch triage, mutual-aid resource allocation, and public warning systems. In an incident, operators are moving too fast to double-check an agent by hand, and the systems an agent can touch (responder dispatch, wireless emergency alerts, evacuation messaging) carry consequences measured in minutes and lives. Without governance, an agent can misroute the nearest unit, over-commit resources one jurisdiction needs elsewhere, or issue a public alert that no authorized official approved.

Without governance

Where it goes wrong.

01

The responder sent the wrong way

A dispatch-assist agent recommends and auto-assigns the nearest available unit using a stale location, sending the closest ambulance away from the call instead of toward it. No one caught it because the recommendation looked authoritative.

02

A false alert to every phone

An alerting agent, acting on an unverified feed, drafts and pushes a wireless emergency alert to a whole county. The public panics, and the agency cannot immediately show whether a human ever approved the send.

03

Resources committed twice

During a regional event, an allocation agent commits mutual-aid resources that another jurisdiction was already counting on, because nothing enforced the boundary of what this agent was allowed to promise.

04

No incident record for the after-action

In the after-action review, the agency cannot reconstruct which recommendations came from an agent, which a human accepted, and on what information, so it cannot separate a process failure from an automation failure.

With Agentomy

How Agentomy governs it.

01

Discover agents across dispatch and alerting

Inventory every agent with reach into computer-aided dispatch, resource management, and public warning systems. Unregistered agents are held to read-only, so a new integration cannot dispatch a unit or send an alert on day one.

02

Enforce authority on public-facing actions

The highest-consequence actions (issuing a public alert, committing shared resources, assigning a responder) are tier-gated and can require a named, authorized official to approve before they execute. Authority follows a person, not a script.

03

Instant halt when an incident goes sideways

If an agent begins acting on bad information, one switch freezes every agent across the incident-management stack in a fraction of a second, and the halt survives a restart, so control stays with the incident commander.

04

Prove the decision chain for the after-action

A tamper-evident, hash-linked record captures every agent recommendation, the human decision on it, and the data it was based on, giving the after-action review a plain-English account of who, or what, made each call.

Frameworks

Maps to what you answer to.

Agentomy does not certify you. It gives you the enforcement and the audit trail these frameworks ask for, so readiness is something you can show rather than assert.

NIMS / ICSFEMA's National Incident Management System and its Incident Command System, the standard command structure for running an emergency; Agentomy ties every agent action back to an authorized role in that structure so accountability stays intactGovRAMPthe state-and-local analog to FedRAMP (the federal cloud-security authorization program); the platform provides the access controls and evidence such a review expectsCJISthe FBI's Criminal Justice Information Services security policy, which governs law-enforcement data that flows through dispatch; access to that data can be tier-gated and every touch is logged
See it in the record

Every action, logged and provable.

A tamper-evident, hash-linked trail of every governance decision for this workload: what an agent did, under whose authorization, and why. Plain-English reasons for every allow and deny, exportable to the framework your auditors care about.

Agentomy Command CenterFilter Emergency Management
  • 100% Integrity
  • 48,667 Blocks
  • SHA-256 hash-linked
Audit trail: one tamper-evident block per governance decision, hash-linked to the one before it
BlockTimestampAgentActionTierHash
48,667Today 12:42:08casework-research-agentdata_access_requestEvaluatoradcbb3572c5b27f4
48,666Today 12:41:54resident-triage-agentoutput_validationAnalyst850234633fd782cb
48,665Today 12:41:37contract-review-agentpolicy_checkBuilder3da7c36482f0fbe8
48,664Today 12:40:58benefits-extract-agentbehavior_driftOperatorc222bb1ad9f7fd80
48,663Today 12:40:21records-draft-agenthalt_initiatedStrategist0558a14e8a411ae2
48,662Today 12:39:46transparency-report-agentprompt_reviewEvaluator9d262d6c4a58aac7
Governance events today: 12,842Demo environment
Illustrative interface with sample data, in the shipped Command Center’s structure. Not a customer environment and not a live feed.

Ready to govern your agents?

Talk to salesBack to State & Local Government