Voice agent build and operations workspace

Reduce integration and review effort while keeping one owned deployment path. For product and support teams deploying AI voice agents on phone and web channels, convert approved call scripts, business rules, telephony numbers, model choices and integration credentials into a reviewed voice agent deployment with transcripts and evaluation evidence. The benefit is a testable hypothesis, measured through accepted conversations per deployment hour and post-release correction rate; do not assume that AI output alone produces business value.

Confirm the buyer's problem and scope, collect approved call scripts, business rules, telephony numbers, model choices and integration credentials, then follow this sequence: 1. Create voice agents for phone and web conversations. 2. Support multilingual and code-mixed speech. 3. Connect agents to phone lines for inbound and outbound calls. 4. Use preferred LLM, STT and TTS providers. 5. Keep response latency low for natural turn-taking. 6. Build and manage agent flows in a visual no-code interface. 7. Connect CRMs, calendars and helpdesks through prebuilt integrations. 8. Call external functions and retain context across interactions. 9. Start from templates for support, e-commerce and booking use cases. 10. Monitor performance, transcripts and outcomes in a dashboard. 11. Evaluate accuracy, relevance and task completion. 12. Improve prompts and models from reviewed results. 13. Scaffold a project and local development with one command. 14. Set up local tunneling and webhook URLs automatically. 15. Deliver audio through an edge network. 16. Bill only for speech processing time. 17. Keep persistent memory across conversations and channels. 18. Score interactions on goal completion, tone and guardrail adherence. Resolve uncertain cases with qualified reviewers, approve reviewed voice agent deployment with transcripts and evaluation evidence, and measure accepted conversations per deployment hour and post-release correction rate against a documented baseline.

How the AI works

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One approved telephony provider and one model stack per deployment; final call handling, escalation and compliance checks remain human. A model suggestion is never a verified fact, professional decision or authorization to act.

Safeguards

Preserve caller consent, source attribution, recording accuracy and usage permissions. Named owners approve substantive changes and deployment scope. One approved telephony provider and one model stack per deployment; final call handling, escalation and compliance checks remain human. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.

What to build first

Pilot scope: One approved telephony provider and one model stack per deployment; final call handling, escalation and compliance checks remain human. Implement one approved input format, a bounded representative case set and the first two task modules: create voice agents for phone and web conversations; support multilingual and code-mixed speech. Support the third module with operator review: connect agents to phone lines for inbound and outbound calls. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.

What it can connect to

Customer-owned call scripts, authorized CRM records and permitted helpdesk sources. Cloud telephony, CRM, calendar and helpdesk connectors. Start with file exchange and validate destination specifications before promising direct call routing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

The screens in detail

Primary screens: Agent build and flow canvas, Test and evaluation console, Deployment and observability. Use a project gallery, a central flow canvas with node editing, and a right-hand panel for models, telephony, integrations and guardrails. Let users compare prompt and model versions side by side. Display draft, in review and deployed states. Provide a client preview link with transcripts anchored to the relevant turn. Make the task-specific outcome reviewed voice agent deployment with transcripts and evaluation evidence visible beside its evidence, review state and value baseline.