The Call a Recording Came From
This connector is not prebuilt. It would be built to your requirement on the REST API and ingestion path the platform already uses for dispatch and records systems, with scope and effort agreed per engagement. RapidDeploy is cloud computer-aided dispatch, used for call handling and situational awareness, often by agencies that moved off an on-premises system. A recording with no incident number attached is retrievable only by whoever remembers the shift it came from, and that is the problem this connection removes.
How it connects
Incident records would come across from RapidDeploy over its API: the call for service, the units assigned, the times and the location. Those identifiers would arrive as custom attributes on the media, so the incident reference is part of the evidence record under the library's custody model rather than a note kept beside it.
Matching would be by time and unit, because both systems hold those two facts. A recording carries its own start time and the device or officer it came from; the incident timeline carries the units and when each was assigned. Correlation happens on ingest rather than by hand afterwards. An engagement would settle the awkward cases first: two units on scene within the same minute, a device whose clock has drifted, a recording that begins before the call was created.
RapidDeploy would stay the system of record for the incident, and nothing about dispatch would change. The platform would write nothing back unless a step were scoped for it. A workflow could act on the correlated result, and the most useful thing it finds is usually the recordings that matched no incident at all.
What you can do together
- Retrieve every recording on a call by its incident reference, rather than by asking who was working.
- Have the incident reference, unit and location arrive as attributes on ingest instead of being typed in later.
- Assemble the media for one incident with a workflow when a request or a review needs it.
- Surface recordings that matched nothing, which is where clock drift and misconfigured devices show up.
A scenario
- ScopingThe engagement would agree which incident fields come across, how time and unit are matched, and what the rule is when a match is ambiguous.
- SetupThe connection would be configured once against the RapidDeploy API, with the attribute mapping for incident reference, unit and location.
- On ingestRecordings arrive and correlate to the incident they belong to, the reference landing as an attribute under the library's access control and retention.
- LaterA supervisor searches the incident reference and gets every recording from every unit on that call in one place.
- A monthly checkA workflow lists recordings that matched no incident, and the devices behind them are corrected rather than discovered during a disclosure request.
What stays where
RapidDeploy remains the system of record for dispatch
Calls, units and incident timelines stay there, and dispatchers work exactly as they do now.
The incident reference travels with the evidence
It arrives as an attribute under the custody model, so it survives export and transfer.
Nothing is written back
The connection reads from RapidDeploy; any write-back would be scoped as its own piece of work.
Processing runs where you deploy the platform
Shared or dedicated SaaS, your own cloud, on premises, or air-gapped, with a network path to RapidDeploy where it is hosted.
Products and solutions
Next step
See it on your own RapidDeploy instance. We will show the connection made, the data moving and the output, then size it for your deployment.
Request a demonstration or write to sales@vidizmo.ai
sales@vidizmo.ai · vidizmo.ai/integrations/catalog/rapiddeploy