PlaysbyMoat8
Back to the library
The workflow guideSupport

Pilot a voice assistant with shared service knowledge

Connect a customer-service voice pilot to approved scripts and the same maintained knowledge base used by staff.

6 implementation stepsAdvanced

How this works

Connect a customer-service voice pilot to approved scripts and the same maintained knowledge base used by staff.

Pilot a single voice-support task using the same approved knowledge staff rely on. Test interruption, recognition errors and transfer behavior as part of the workflow, and keep the pilot’s observed capability separate from a mature service claim.

Before you start

Defined operating scope

Approved service knowledge can support a narrow, disclosed voice-assistant pilot.

Required source material

Obtain Approved call scripts; Maintained service knowledge; Pilot scope and handoff rules. If connectors are unavailable, use authorized files with the same fields.

Decision and exception rules

Speech recognition is uncertain about an identifier. Repeat it back or switch to an approved verification path.

Prepare the inputs

pilot_task
Required

Supported intent and completion condition

Exclude consequential or unsupported requests.

call_script
Required

Disclosure and conversation outline

Use approved wording and calling permissions.

knowledge_version
Required

Current service references

Keep answer applicability and update dates.

handoff_route
Required

Human destination and fallback

Verify availability during pilot hours.

Implementation, step by step

  1. Establish the working record

    • Confirm the selected records, effective versions and responsible owner.
    • Check pilot_task, call_script, knowledge_version, handoff_route before beginning. Record the source version and the selected scope; an unavailable value stays unknown rather than becoming an inferred fact.

    Checkpoint: The input record identifies the selected pilot_task and any missing required fields.

  2. Define a narrow customer-service task

    • Choose a narrow intent, such as explaining order-status steps, and define observable completion without assuming user satisfaction.
    • Listen to complete calls for recognition, interruption and factual-answer errors.

    Checkpoint: A saved intermediate result for: Define a narrow customer-service task.

  3. Connect the voice assistant to approved reference material

    • Connect only approved reference material and test retrieval for the vocabulary callers actually use.
    • Verify handoff receipts and distinguish task completion from caller acknowledgement.

    Checkpoint: A saved intermediate result for: Connect the voice assistant to approved reference material.

  4. Test answers and escalation on representative calls

    • Run representative synthetic or consented calls with interruption, unclear speech, unsupported questions and explicit human requests.
    • Listen to complete calls for recognition, interruption and factual-answer errors.

    Checkpoint: A saved intermediate result for: Test answers and escalation on representative calls.

  5. Review pilot recordings and operational issues before broader rollout

    • Review recordings and outcome receipts, correct scripts or routing and document known limits before expanding the task scope.
    • Verify handoff receipts and distinguish task completion from caller acknowledgement.

    Checkpoint: A saved intermediate result for: Review pilot recordings and operational issues before broader rollout.

  6. Package the result and unresolved work

    • The source reported initial calls, not a mature deployment. Disclose automation, respect recording and calling permissions, and keep sensitive or consequential matters with staff.
    • Disclose automation and respect recording and calling permissions.

    Checkpoint: A reviewed voice-support pilot with known limits. Unresolved items remain visible in the review record.

Decisions along the way

Speech recognition is uncertain about an identifier.

Repeat it back or switch to an approved verification path.

The caller asks for a consequential account action.

Transfer to authorized staff unless that action is explicitly within the pilot.

The human transfer fails.

State the transfer is unconfirmed and provide the approved callback or alternative route.

What you will produce

pilot-voice-support-with-shared-knowledge-result.json

JSON

A reviewed voice-support pilot with known limits. Label proposed and completed states separately.

Include: call_id · recognized_intent · knowledge_version · answer_evidence · handoff_state · outcome · pilot_issue · status · evidence_reference · review_note

pilot-voice-support-with-shared-knowledge-review.md

Markdown

Keep the evidence and unresolved decisions needed to apply this result, including exceptions involving handoff_route.

Include: source_reference · question · owner · next_action

Check the result

  • Listen to complete calls for recognition, interruption and factual-answer errors.
  • Verify handoff receipts and distinguish task completion from caller acknowledgement.
  • Inspect pilot_task and call_script in both the original and output; confirm that record identity and interpretation survived the transformation.
  • The source reported initial calls, not a mature deployment. Disclose automation, respect recording and calling permissions, and keep sensitive or consequential matters with staff.

When something goes wrong

Speech recognition is uncertain about an identifier.

Repeat it back or switch to an approved verification path. Retain the affected evidence and recovery status.

The caller asks for a consequential account action.

Transfer to authorized staff unless that action is explicitly within the pilot. Retain the affected evidence and recovery status.

The human transfer fails.

State the transfer is unconfirmed and provide the approved callback or alternative route. Retain the affected evidence and recovery status.

A worked example

SYNTHETIC EXAMPLE · NOT A REPORTED BUSINESS RESULT

Request

Pilot a voice assistant with shared service knowledge for the following bounded example; prepare the result for review.

Inputs

Synthetic example: Pilot answers delivery-status questions. Caller asks to cancel an order and says 'please connect me to a person'; the transfer line is unavailable.

Expected result

Synthetic expected result: Assistant acknowledges the request, avoids cancellation and explains the failed transfer with the approved callback option. It does not claim the caller was connected.

Run a small pilot

Start small

Trial a representative batch containing the ordinary case and the exception demonstrated above.

Record the baseline

Record current preparation time, review effort and correction types for the same records.

Agree success criteria

Agree acceptable review and error limits; measure human-reviewed answer accuracy; transfer success and unresolved calls.

Stop or revise

The human transfer fails. Pause affected records and apply this recovery: State the transfer is unconfirmed and provide the approved callback or alternative route.

Keep the scope clear

  • Disclose automation and respect recording and calling permissions.
  • Do not broaden the pilot to sensitive or consequential matters without an explicitly designed, authorized workflow.

Check before using

The source reported initial calls, not a mature deployment. Disclose automation, respect recording and calling permissions, and keep sensitive or consequential matters with staff.

Business activities

  • Resolve customer questions

Editorially adapted workflow; not independently tested.

FROM A RECIPE TO YOUR WORKFLOW

Bring the company context together.

This workflow needs reliable inputs before it needs a better prompt. Moat8 Vault brings working information into a readable archive for the AI tools you use.

For this recipe: Approved call scripts · Maintained service knowledge · Pilot scope and handoff rules

Start with one recurring task, agree which sources to use, and review the first result with your team.

Discuss this workflow

What does your team do?

Choose the recurring work you would like to improve.

A field guide, made for work.

Plays is a curated library of anonymized business workflows. Each recipe explains the inputs, steps, tools, and checks you can adapt to your team. These are editorial guides, not independently tested implementations.

When you share a company website, the guide may read a limited number of public pages on that website. Messages and retrieved page text are sent to our AI provider, NVIDIA, to recommend relevant workflows. Share a general description rather than confidential information.

Saved workflows and selected activities stay in this browser. Your chat history and selected company website are kept in this tab and cleared when you reload or start a new chat. The server does not store conversations. Live source monitoring is not enabled.

If you allow analytics, PostHog receives page views and actions such as workflow saves, skill downloads and link clicks. Random browser and session identifiers connect these actions without identifying you by name. Your choice and browser identifier expire after 90 days; sessions restart after 30 minutes of inactivity or 24 hours. We use local storage, not analytics cookies. Messages, company URLs, search text, full referrers and IP addresses are not sent. There are no person profiles or session recordings. You can decline or withdraw in Analytics settings; Do Not Track and Global Privacy Control keep analytics off.

Read the Plays Privacy Notice ↗