Product experience / AI support operations

Vero↗

A shared support workspace that connects the customer’s conversation to the context behind a useful response. An assistant prepares a grounded draft; the agent reviews, resolves or hands the issue to a specialist.

  • Shared inbox
  • Assisted replies
  • Human handover
Product design & engineering
01 / The experience

Every conversation. A considered next step.

  1. 01

    Understand

    Open a conversation and inspect the customer’s issue and account context.

  2. 02

    Prepare

    Create an assisted draft, read its source policy and edit the response.

  3. 03

    Resolve

    Close the sample conversation or escalate it with a useful handover note.

02 / Engineering direction

The decisions
behind the interface.

How we would approach production. The working preview uses a defined sample dataset and local interactions; the architecture below describes the system behind a deployed product.

01

Bring the context together

Connect conversations, customer records and approved support content with explicit access boundaries.

02

Prepare a grounded draft

Retrieve the relevant policy and prepare a response with visible source references.

03

Keep actions controlled

Separate a suggested reply from a sent response. Require approval for account changes and other consequential actions.

04

Learn from the handover

Track escalation reasons, missing knowledge and reviewer feedback to improve the workflow.

Continue exploring

Cadence

Conversational analytics

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