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Trunnion Voice: A shared voice layer for Trunnion products

Trunnion Voice is a shared voice input and output layer, currently in development. It is being built to bring spoken interaction into Trunnion product experiences.

AI-generated illustration · Not a company or customer location
Built forProduct & application teamsProduct direction · in development

See the work in context

Explore the product direction.

An illustrative workspace for product & application teams. Explore the work and the decision behind it.

Trunnion Voice / Concept previewIllustrative data · Not a released interface
Voice interaction concept
Illustrative work queuePrepared for review
Spoken requestSelected example
Interpretation checkRelated work
Response preparationRelated work
The next decision

Review a spoken request

A spoken request becomes a proposed action. Confirm the interpretation before it changes anything.

Decision owner
Application user
Action boundary
Review before action
Illustrative decision reviewHuman decision required
Proposed next step

Review a spoken request

Correct ambiguous input and confirm the intended action.

Responsible reviewerApplication user
  1. 01
    Check the context

    Review the material behind the proposed action.

  2. 02
    Resolve the boundary

    Confirm scope, permissions and consequences.

  3. 03
    Decide what proceeds

    Approve, revise or decline through the defined workflow.

Concept only. Features, controls and records are confirmed for the proposed release.

Why Trunnion Voice exists.

A spoken interface changes how a person interacts with software; it should not obscure who is speaking, what information is being used or what action is being proposed. Those questions belong in the product workflow.

Built by Trunnion AI, a wholly owned Duskbridge company. This page presents the direction of a product in development; it does not promise release timing or available features.

AI-generated illustration of a conference microphone in a quiet workspace
A spoken request. A clear next step.AI-generated illustration · Not a customer or company location

Spoken interaction in product context.

01

Receive spoken input

Make voice an interaction path into an application's defined task and context.

02

Respond through voice

Support spoken output as part of a product experience, with release-specific behavior.

03

Respect the context

Evaluate identity, participant expectations, data handling and review requirements for each use case.

From spoken input to a reviewed action.

An illustrative sequence, not a product screenshot or a guarantee of released behavior.

  1. Set the context

    Identify the product task and approved interaction conditions.

  2. Receive input

    Process authorized spoken input within the release scope.

  3. Prepare a response

    Connect the request to the application's intended workflow.

  4. Confirm consequential work

    Keep action authority distinct from conversational fluency.

Make the evaluation specific.

Start with the workflow you need to improve. Then confirm what the proposed release can actually do.

  • Which input and output modes will the first release support?
  • How will participants understand capture and retention?
  • How will ambiguous or inaccurate input be reviewed?
Status
Building
Portfolio
Innovations
Technology owner
Trunnion AI, LLC · Duskbridge
Release scope
Confirmed in the written agreement

What to know
about Trunnion Voice.

Is Voice a live product?

Trunnion Voice is building. Supported languages, latency and availability have not been established by this page.

Is it a standalone voice assistant?

Its role in the portfolio is a shared input and output layer for product experiences. Specific packaging and deployment should be confirmed directly.

Can we propose a use case?

Yes. Describe the interaction and environment without sending recordings or sensitive personal information through the public form.

Related products & technology.

Portfolio relationships do not establish an included integration or entitlement.

Help shape the right product conversation.

Start with a non-sensitive overview. Product fit, release scope and next steps belong in a direct conversation.