Tenant-owned identity
Configure assistant name, persona, tone, company context and channel behaviour around the business customers are actually speaking to.
Grounded AI for customer work
AI that works inside your business rules.
Each workspace controls the assistant name, business knowledge, reply rules, confidence threshold, approved tools and the point where a person takes over.
Discuss your operation01 / What it includes
The tools your team uses day to day.
Instructions and boundaries
Define operating rules, escalation conditions, greeting formats, prohibited behaviour and a deliberate fallback message.
Grounded responses
Use conversation history, attachment analysis, knowledge content and approved live context rather than unsupported generic answers.
Confidence routing
Set the minimum confidence for autonomous replies and hand low-confidence work to an agent or copilot flow.
Approved business tools
Connect MCP servers for controlled queries and actions against internal databases, inventory services and workflow tools.
Evaluation before release
Test realistic prompts, inspect context and evidence, provide feedback, review learning signals and compare draft behaviour.
02 / How it works
Follow the work from start to finish.
- 01
Observe
Combine the active message with relevant recent history, media summaries, tenant context and high-priority notices.
- 02
Retrieve
Find supporting knowledge and, where approved, query connected business tools for current facts.
- 03
Verify
Check that the proposed response is supported and decide whether to answer, clarify or hand off.
- 04
Learn
Use agent and evaluator feedback to identify recurring gaps without silently changing production behaviour.
Automate the work the system can support with evidence. Send the rest to a person with the customer history still attached.
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.