Implementation guide

Georgian Voice AI Readiness Checklist for Business

A Georgian voice AI workflow is ready for real calls only when its business outcome, source-of-truth data, critical-field confirmation, duplicate protection, human handoff, and failure diagnostics are defined alongside the conversation. This checklist provides a minimum launch gate from controlled demo to production operation.View the open GitHub version of this checklist
01

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.
02

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.
03

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. 1

    Entry condition

    Identify the verified state and data available when this step begins.

  2. 2

    Expected response

    Define which fields are expected and which speech is merely background context.

  3. 3

    Validation

    Specify the format, source, or business rule that makes the value acceptable.

  4. 4

    Transition

    Define the next state for success, ambiguity, failure, correction, and a request for a person.

04

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.
05

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 and its source of truth
InformationSource of truthConversation rule
Available timeCalendar or booking APIRecheck before offering and before saving
Customer statusCRM or authorized databaseApply identification and access rules
Price or policyApproved catalogueRecord the version and effective date
Call outcomeSession event and tool resultKeep technical proof separate from the transcript
06

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.
07

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.
08

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.
09

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.
10

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.
11

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.

Minimum regression matrix
ScenarioWhat to verifyRelease expectation
Normal answerCorrect field and one transitionNext question is asked once
OverlapCaller is heard while TTS playsOnly meaningful speech interrupts
Delayed resultStage binding for stale speechIt is not applied to the wrong step
Background speechCaller and television are distinguishedNo business action is executed
CorrectionIntentional change to a filled fieldOnly the named field changes
Integration failureTimeout, retry, and idempotencyNo false success and no duplicate
12

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.
13

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.
14

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.
S

Official sources and further reading

Technical definitions are verified with primary sources. Links are opened in the official documentation of the corresponding project.

  1. Turn detection and interruptions — Telephony component documentation

    Official guidance for end-of-turn detection, interruptions, and real-time conversation behavior.

  2. Conversation graphs — Conversation component documentation

    The official model for node-, state-, and tool-driven conversational workflows.

  3. AI Risk Management Framework 1.0 — NIST

    A public framework for governing, measuring, and monitoring AI risk.

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