Design a bounded AI calling pilot for a BPOa BPO

Define the smallest complete job

Choose a task with a clear end state, such as collecting a service-enquiry brief for a staff callback. Write down the required fields, the approved information the agent may use and the human action that finishes the job. A spoken promise to arrange a callback is incomplete until the receiving team has a usable record.

Exclude tasks your current configuration cannot perform. If a calendar or CRM action is not supported and tested, collect a request for a person to confirm. Do not describe that request as a booked appointment.

• Input: an authorised test contact, approved business facts and a versioned instruction set.
• Output: required details, caller preference, outcome category and an owner for the next action.
• Boundary: missing knowledge, ambiguous identity or an unavailable integration goes to the configured human fallback.

Assign actors before starting calls

• Client owner: approves facts, eligible contacts and what counts as a useful result.
• Implementer: configures the agent, phone path and any supported integration; records versions and changes.
• Caller: can correct details, decline follow-up or request a person; the test must include these cases.
• QA reviewer: compares the conversation with the captured record and marks unknowns instead of guessing.
• Operations owner: checks downstream completion and can pause the pilot when a stop condition occurs.

Use a written acceptance brief

1. 1Name the queue and supported task. State what is explicitly outside scope.
2. 2List each required output field and the evidence that verifies it, such as a transcript segment plus the destination record.
3. 3Prepare normal, correction, unanswered-call, unknown-answer and failed-integration cases. Use fictional details for controlled tests.
4. 4Choose a small initial cohort your reviewers can inspect fully. Do not select only easy cases and describe them as representative of the whole queue.
5. 5Agree quality and workload thresholds with the client before seeing results. Record why those thresholds fit the job; there is no universal percentage that makes every pilot ready.
6. 6Define a stop condition, its owner and the recovery step. Examples include incorrect stored facts, an unhandled request to stop contact, or a broken receiving workflow.

Worked example: a callback intake queue

Illustrative example: a team reviews 20 controlled calls. Twelve contain all required details and a verified callback record, three have incorrect details, two lack destination evidence and three were unanswered. Report 12 verified complete tasks out of 20 attempts. If all remaining 17 were actually answered, the answered-call completion figure is 12 out of 17; otherwise that denominator remains unknown.

Keep the two unverified records visible. They are not proven successes or confirmed failures. Record staff correction time and downstream callback completion separately. These invented counts explain the method and are not HeyRik performance data.

Make an expansion decision

At the review, compare the agreed criteria with observed evidence. Expand only the task and conditions actually tested. A new language, client queue or integration changes the test scope. When the same failure repeats, fix that failure and rerun its cases before increasing contacts.

Phone status alone is insufficient: Twilio documents that a completed call can have reached a person, IVR or voicemail. Use the applicable provider documentation for your own phone setup. Confirm supported HeyRik actions in the configured account before promising them in the pilot.

A little more before you begin.