Who should use this readiness checklist?
This checklist is for business owners and operations, service, sales, IT, and security teams preparing a Georgian voice AI workflow for real telephone traffic rather than a scripted demonstration.
- Use it while scoping a workflow, evaluating a vendor, and before each production release.
- Give every item an owner and a verifiable piece of evidence.
- Mark a requirement not applicable only with a documented reason; do not silently skip a critical gap.
1. Define one measurable business outcome
The first release should serve one clear outcome, such as a confirmed appointment, a qualified lead, a completed survey, or a correctly routed call. “Answer every question” is not a sufficiently testable objective.
- Document the start, successful end, and failure states of the workflow.
- Name decisions that must remain with a person.
- Define what proves completion in the business system, not only in the transcript.
2. Model conversation states and transitions
Split the conversation into states with known expected fields, permitted actions, and next transitions. A caller may give several details in one sentence, but the workflow must not advance until the required information is actually present and valid.
- 1
Entry condition
Identify the verified state and data available when this step begins.
- 2
Expected response
Define which fields are expected and which speech is merely background context.
- 3
Validation
Specify the format, source, or business rule that makes the value acceptable.
- 4
Transition
Define the next state for success, ambiguity, failure, correction, and a request for a person.
3. Test Georgian under real call conditions
Studio recordings are not sufficient. Tests should cover different ages, accents, speaking rates, quiet speech, overlap, television, street noise, mobile networks, and audio altered by telephony codecs.
- Test Georgian names, specialties, dates, clock times, and long digit sequences separately.
- Measure both first-pass and repeated responses; do not hide cases that required repetition.
- Keep audio, transcript, events, and final workflow state together as one test session.
4. Establish one source of truth for operational data
Availability, price, account status, and order state must come from a defined system. A language model may explain the answer, but it must not invent operational data or override the verified source.
| Information | Source of truth | Conversation rule |
|---|---|---|
| Available time | Calendar or booking API | Recheck before offering and before saving |
| Customer status | CRM or authorized database | Apply identification and access rules |
| Price or policy | Approved catalogue | Record the version and effective date |
| Call outcome | Session event and tool result | Keep technical proof separate from the transcript |
5. Validate calendar, CRM, API, and webhook contracts
Every integration should define input types, authentication, timeout, retry, error handling, and a safe fallback. The caller should hear that an action succeeded only after the external system has actually confirmed it.
- Time zone and date formats are aligned at both ends.
- A timeout or temporary server error never becomes a false success.
- Webhook signatures are verified and delivery is idempotent.
- Secrets remain server-side and never enter the browser or transcript.
6. Confirm critical information before acting
Dates, times, phone numbers, identity numbers, amounts, and other high-impact fields should be summarized clearly before execution. A consent phrase must bind to the current confirmation, never to a delayed or stale utterance.
- Confirm only fields that affect the real outcome.
- Balance name repetition with privacy and natural conversation requirements.
- Treat a correction as valid only for an already filled field and only after a clear caller request.
7. Prevent duplicate and repeated actions
A network retry, repeated confirmation, or resumed workflow must not create a second appointment, payment, or CRM record. Mutations need an idempotency key, atomic persistence, and recognition of already completed operations.
- One session and one business action have a unique relationship.
- A retry returns the existing result instead of creating another record.
- Partial success is stored as a distinct state with a defined recovery path.
8. Define privacy, recording, and access boundaries
Call audio, transcripts, and caller data should be collected only for a legitimate workflow purpose, with an appropriate notice and restricted access. Retention, deletion, export, and staff roles should align with the organization’s approved policy.
- Provide the appropriate recording or transcription notice.
- Expose no more data to the agent than the current workflow requires.
- Keep administrative access and record access in an audit trail.
- Escalate emergency, medical, legal, or other high-risk decisions through the approved human channel.
9. Prepare telephony, load, and failure fallbacks
Test the SIP connection, number routing, audio format, packet loss, jitter, region, and concurrency limit before launch. If STT, TTS, the language model, or a business service is unavailable, the call should fail safely or transfer to a person.
- Test inbound and outbound calls across representative carriers and devices.
- Base load tests on concurrent real-time calls, not HTTP requests alone.
- Failure copy must not promise completion and must give the caller a useful next step.
10. Simulate edge cases before production
Simulation should cover ideal speech and overlap, delayed STT, stale answers, background speech, correction, rejection, silence, API timeout, and unexpected call termination.
| Scenario | What to verify | Release expectation |
|---|---|---|
| Normal answer | Correct field and one transition | Next question is asked once |
| Overlap | Caller is heard while TTS plays | Only meaningful speech interrupts |
| Delayed result | Stage binding for stale speech | It is not applied to the wrong step |
| Background speech | Caller and television are distinguished | No business action is executed |
| Correction | Intentional change to a filled field | Only the named field changes |
| Integration failure | Timeout, retry, and idempotency | No false success and no duplicate |
11. Transfer context with every human handoff
Handoff is more than forwarding a phone call. The person should receive verified details, caller intent, completed steps, and the reason for escalation so the caller does not need to restart the conversation.
- Store the handoff reason as structured data.
- Send sensitive data only through an authorized channel.
- When no person is available, offer an exact alternative such as a callback or later contact.
12. Plan monitoring, versioning, and rollback
Each session should identify the workflow version, model providers, key latency segments, tool results, and final outcome. Release changes to a bounded cohort and keep a fast path back to the previous stable version.
- Measure from the end of caller speech to the start of agent audio.
- Separate STT, turn detection, language model, tool, and TTS latency.
- Monitor repeated prompts, incorrect transitions, handoffs, and attempted unverified actions.
- Version prompt, workflow, and provider configuration together.
Minimum launch gate
Every condition below should be verified before production. A single critical “no” means the workflow should remain in controlled testing or use a human fallback until the gap is closed.
- The success condition and accountable team are defined.
- The source of truth and every mutation contract are tested.
- Critical fields are confirmed before execution.
- Retry, duplicate protection, and safe fallback work.
- The Georgian real-call regression matrix passes.
- Context-rich human handoff is available.
- Notice, access, retention, and deletion rules are approved.
- Monitoring, alerting, and rollback have been exercised.
Official sources and further reading
Technical definitions are verified with primary sources. Links are opened in the official documentation of the corresponding project.
- Turn detection and interruptions — LiveKit documentation
Official guidance for end-of-turn detection, interruptions, and real-time conversation behavior.
- Pipecat Flows — Pipecat documentation
The official model for node-, state-, and tool-driven conversational workflows.
- AI Risk Management Framework 1.0 — NIST
A public framework for governing, measuring, and monitoring AI risk.
