Data & intelligence / Detailed feature guide

AI playground, evaluation & feedback

Test changes before release and turn reviewed human feedback into visible improvement signals.

01 / Complete capability set

What the system covers.

They share the same customers, permissions and activity history, so your team can use them together.

  1. 01
    Draft persona and instruction overrides
  2. 02
    Realistic test conversations
  3. 03
    Context and evidence inspection
  4. 04
    Production-versus-draft comparison
  5. 05
    Agent rating and reason codes
  6. 06
    Corrections and expected outcomes
  7. 07
    Moderator-reviewed feedback
  8. 08
    Learning insights and source checkpoints
  9. 09
    High-priority live notices
  10. 10
    AI configuration version history
  11. 11
    Usage and response-quality records
02 / How it works

What happens from setup to result.

Each step is visible, from the first configuration to the final outcome.

01

Define

Configure the fields, sources, layouts, evidence and business rules that matter to the workspace.

02

Collect

Capture data from customer work, imports, forms, approved integrations and live operating events.

03

Use in context

Place the relevant record beside conversations, calls, AI decisions and manager workflows.

04

Measure

Use recorded events and outcomes in reports without losing workspace or campaign scope.

03 / Platform controls

The controls that keep it dependable.

Access, history and recovery controls are part of every feature.

Typed records

Fields, responses and external values retain clear definitions instead of becoming unstructured notes.

Grounded intelligence

AI responses reference approved knowledge, history, attachments and tools with explicit evidence boundaries.

Scoped access

Read, edit, export and administrative actions follow role and tenant permissions.

Analysis-ready outcomes

Normalized states and structured responses remain available to reporting and quality workflows.

07 / Start a conversation

Start with the real workflow

Tell us what needs to work better.

Tell us which channels, queues, call flows and reports matter. We'll use that to prepare a relevant walkthrough.

  • Your request goes to our product team.
  • We review it before we get in touch.
  • The walkthrough follows your workflow.
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