Axon Police AI: Body Cameras, Draft One, and Fusus
Draft One makes a draft; Vision makes an alert. An officer approves a Draft One report, while a trained person decides what happens after a Vision activity alert.
- 1. axon.com · draft one
- 2. axon.com · auditing reporting
- 3. axon.com · axon fusus
- 4. axon.com · how lafayette pd used draft one
- 5. lafayette.in.gov · 10242023 3087
- 6. eff.org · axons draft one designed defy…
- 7. axon.com · axon vision
- 8. axon.com · rethinking vision building sy…
- 9. sec.gov · axon 20260506xex991
- 10. axon.com · prioritizing officer safety a…
- 11. cbsnews.com · police body worn camera taser…
- 12. baltimorebrew.com · baltimore to spend a record a…
Data behind this diagram
| Surface | Role in the path | Record to request |
|---|---|---|
| Body-worn camera | Captures video, audio, time, device, and event context | Activation policy, buffering, upload behavior, and device logs |
| Axon Evidence | Stores and manages digital evidence and audit trails | Retention schedule, access log, sharing log, and deletion exceptions |
| Transcript | Provides the text input used by Draft One | Transcript, source evidence IDs, and transcription error records |
| Draft One | Generates an initial report narrative from body-camera audio transcripts | Feature settings, original draft, usage audit, disclosure, and incident restrictions |
| Officer review | Fills missing information, edits, attests to accuracy, and approves submission | Edit history, sign-off, supervisor review, and correction records |
| Records system | Receives the reviewed final report | Final report, revision history, disclosure, and retention policy |
| Fusus | Unifies live video, alerts, locations, dispatch, ALPR, drone, and third-party feeds | Integration inventory, access controls, incident exports, and audit trail |
| Community Connect | Supports registration or connection of participating private cameras | Participation terms, owner consent, live-access limits, and revocation process |
| Approved fixed feed | Provides the agency-selected camera input for Axon Vision | Approved camera inventory, purpose, access policy, and retention |
| Vision activity model | Evaluates configured activity categories without documented identity recognition | Enabled categories, thresholds, model version, and false-positive audit |
| Lower-confidence review | Can route detections to trained human reviewers before operational notification | Reviewer contract, training, escalation rules, and review logs |
| Fusus alert | Presents the activity alert inside the real-time operations workflow | Alert log, recipients, response record, and Evidence transfer |
| Trained-person decision | Retains dispatch and enforcement authority outside the Vision model | Decision log, dispatch record, enforcement action, and policy |
Axon, the company that sells Tasers and police body cameras, now also sells AI that writes the first draft of a police report from body-camera audio (Draft One), and software that watches live camera feeds around a city and sends officers alerts (Fusus and Vision). Police reports help decide charges and court outcomes, so who writes them, what gets kept, and who can check the record matters to anyone who is stopped, arrested, or recorded.
A body camera is no longer a stand-alone recorder. The same company's software stores the footage, transcribes it, drafts the report, and can link city and private cameras into one live view. What matters is the whole path from recording to report to courtroom, and the settings a department chooses at each step.
Draft One turns audio into an official-document workflow
Axon says body-camera audio is uploaded, transcribed, and used to generate a draft report narrative. The company describes an officer-in-the-loop process: the officer must fill missing information, edit the draft, attest to accuracy, and approve it before submission. Axon also documents audit events for draft requests, evidence IDs, users, IP addresses, incident information, and sign-off.
That workflow creates several distinct records: the original audio, transcript, generated draft, officer changes, final narrative, disclosure, usage audit, and any retained intermediate version. They should not be collapsed into “the report.” Each record can be kept for a different length of time, and each can matter differently when evidence is turned over to the defense in court.
One named deployment has a public procurement trail
Axon's July 2026 case study names Lafayette Police Department in Indiana as a user of Body 4, Fleet 3, Evidence, Draft One, Records, and Fusus. The City of Lafayette's October 24, 2023 Board of Public Works agenda separately lists a master services and purchasing agreement with Axon for the police and fire departments. Neither document shows the executed agreement, the price schedule, or the settings the department actually chose.
Original drafts are a policy and version question
EFF reported in July 2025 that Draft One's then-described workflow did not retain the generated draft or later versions, which made independent auditing difficult. Axon's current help documentation describes an optional feature for retaining and reporting original AI-generated drafts, with settings for when they are stored and deleted. Both records matter: the criticism documents the earlier transparency problem, while the current manual documents a product capability that an agency may or may not enable.
For any specific case, what counts is the software version, the setting in force on that date, and the actual audit entry, not what current documentation says.
Human review is necessary but not sufficient
Officer approval assigns responsibility, but it does not measure whether the transcript missed speech, whether the generated narrative framed an encounter differently, whether required disclosure remained enabled, or how closely supervisors reviewed the result. Those questions need paired records and outcome data.
| Control | Evidence | Failure if absent |
|---|---|---|
| Disclosure | AI-use statement in the report or linked system record | Prosecutors, defense, courts, and the public may not know AI was used |
| Original-draft retention | Stored generated narrative with policy-defined retention | No direct comparison between generated and final text |
| Source linkage | Evidence IDs for the audio and transcript used | Reviewers cannot reproduce the input set |
| Edit history | Officer and supervisor revisions or attestations | Human review becomes a checkbox rather than an auditable process |
| Incident limits | Configured eligible report types and exceptions | Use can expand into higher-consequence cases without deliberate review |
| Error escalation | Documented correction and notification procedure | An identified error can persist across report, charging, and disclosure systems |
Fusus expands the frame beyond one recorded encounter
Axon describes Fusus as a real-time operations platform. Its product page lists officer locations, dispatch data, license-plate-reader (ALPR) overlays, alerts, body cameras, drones, public-safety cameras, and participating private camera feeds in one operational view. It also describes transferring incident-linked material into Axon Evidence.
That is a different privacy boundary from a body camera recorded during one encounter. The review must include live-access rules, which cameras are connected, when a private camera can be viewed, who can search ALPR or location overlays, how an incident is created, and which material transfers into long-term evidence storage.
Axon Vision adds activity alerts inside Fusus
Axon's product page says an agency chooses the fixed-camera feeds and activity categories that Vision checks. It describes activity detection rather than identity recognition, with no facial or biometric identification. Lower-confidence detections can go to trained reviewers, and a person remains responsible for dispatch or enforcement decisions.
Axon's North Carolina corrections case study says Fusus expanded across three large prison facilities and connects that system to Vision alerts. This is Axon's account of the deployment rather than an independent statement from the corrections department.
A May 2026 shareholder letter was still targeting field trials for mid-2026 and wider availability in early Q4. In Baltimore, CBS reported approval of a ten-year Axon contract with provisional testing for AI functions, while Baltimore Brew reported that the package included Vision. The public reporting does not confirm that Baltimore is running Vision in production.
Vendor claims and external criticism
| Claim type | Current record | Correct reading |
|---|---|---|
| Vendor safeguard | Axon requires officer review and documents audit events | A stated product workflow that needs agency-setting and log verification |
| Vendor integration | Fusus can connect Axon and third-party feeds in one view | A capability, not proof every listed source is active in one city |
| External criticism | EFF argued earlier Draft One behavior made original text hard to audit | A transparency critique tied to the examined product state |
| Regulatory record | FTC challenged Axon's VieVu acquisition in the body-camera systems market | A competition proceeding, not a finding about report accuracy |
How to check your own city
Every product above leaves a paper trail. To see how your own police department uses these tools, send a public-records request to the department or city clerk for:
- The Axon contract, its price schedule, and its renewal date, which show what was bought and when it next comes up for a decision.
- The body-camera policy: when officers must record, who can view footage, and how long it is kept.
- Whether Draft One is turned on, since when, for which incident types, and whether original AI drafts are retained.
- The audit logs for AI-generated reports and any instructions prosecutors have issued about disclosing them.
- The list of cameras and feeds connected to Fusus, including private cameras, and who can view them live.
- The camera feeds and activity categories approved for Vision, and any false-positive reviews.
The data table under the figure above names the specific record to request for each step of the pipeline.
Sources
- Axon Draft One product page
- Axon Draft One auditing and reporting documentation
- Axon Fusus product page
- Axon case study: Lafayette Police Department deployment
- City of Lafayette Board of Public Works agenda: Axon master agreement
- Axon Customer Experience Improvement Program disclosure
- EFF: Draft One transparency investigation
- FTC: Axon and VieVu administrative complaint announcement
- Axon Vision product page
- Axon: Vision design and rollout statement
- Axon Q1 2026 shareholder letter filed with the SEC
- Axon case study: North Carolina corrections
- CBS Baltimore: approved Axon contract and provisional AI testing
- Baltimore Brew: Axon Vision in the proposed package
Frequently Asked Questions
Can AI write the police report about my arrest?
If the department uses Axon Draft One, the first draft of the report narrative can be generated from body-camera audio. Axon says an officer must fill in missing information, edit the draft, attest to its accuracy, and approve it before submission. Whether the original AI draft is kept for later comparison depends on a setting the agency chooses.
How do I find out if my city police use Draft One or Fusus?
Send a public-records request to the department or city clerk. Ask for the Axon contract and its named products, the date Draft One was enabled and its settings, and the list of cameras and feeds connected to Fusus. Contracts and procurement agendas are public documents, and the checklist in this article names the specific records to request.