WhatsApp AI Agent for Governed Customer Conversations
A WhatsApp AI agent can respond, collect structured details, trigger approved tasks, and hand conversations to people within channel, consent, and policy boundaries.
Define approved intents, consent and messaging rules, permitted actions, and the human escalation path before launch.
- Capture the request and verify required inputs
- Classify the work and apply approved rules
- Prepare an action or draft with source context
Best suited to repeatable customer conversations with clear information needs and an accountable handoff owner.
What this workflow covers
A WhatsApp AI agent can answer routine questions, collect structured details, perform configured low-risk tasks, and hand conversations to people. The workflow depends on the required CRM or task integration, consent settings, messaging rules, permissions, and handoff destination.
Complaints, refund disputes, account changes, major commitments, privacy-sensitive requests, and unusual cases must move to a person with the full conversation context.
A controlled workflow from request to outcome
Identify the customer intent
Classify the request and collect the details needed to handle it under the applicable messaging and consent rules.
Retrieve an answer from approved sources
Use only authorized knowledge and connected customer records.
Reply or perform a scoped action
Send an approved response or use a configured CRM or task integration within the granted permissions.
Hand sensitive or uncertain cases to people
Transfer the full conversation, source context, attempted actions, and risk flags to the assigned owner.
Record evidence and corrections
Preserve the response, source, action, consent state, human corrections, and final resolution.
Controls teams should define before launch
| Stage | Agent contribution | Human control |
|---|---|---|
| Scope | Use only approved data, connected systems, and permitted actions. | Complaints, refund disputes, account changes, major commitments, privacy-sensitive requests, and unusual cases must move to a person with the full conversation context. |
| Review | Prepare routine responses, records, or low-risk actions within the approved scope. | Define approvers, response times, and actions that always require confirmation. |
| Exceptions | Stop on missing data, conflicting sources, low confidence, or permission failures. | Name the fallback owner and the context required for escalation. |
| Evidence | Record sources, responses, actions, approvals, and corrections. | Define required fields, retention rules, and review access. |
| Recovery | Report failed writes or delivery errors without continuing into dependent actions. | Define retry limits, rollback steps, and the incident owner. |
Pilot checklist
Before automation
Start with a small set of approved intents, then configure the WhatsApp connection, consent and messaging rules, approved sources, CRM or task integration, permissions, and handoff owner.
With controlled agents
Measure first-response time, resolution rate, human corrections, handoff quality, delivery failures, and customer satisfaction using your own baseline.
Build a reviewable workflow with OpenMax
When the WhatsApp connection, approved sources, CRM or task integration, consent settings, permissions, and handoff destination are configured, OpenMax can support this workflow.
Frequently asked questions
Which WhatsApp workflow is a good first pilot?
Start with a small set of approved intents, message rules, trusted sources, permitted CRM or task actions, and a clearly assigned escalation owner.
Which conversations should move to a person?
Route complaints, refund disputes, account changes, major commitments, privacy requests, and unusual cases to a person with the relevant conversation context.
How should a WhatsApp pilot be evaluated?
Use the team's baseline to compare first-response time and resolution, then review corrections, handoff quality, delivery failures, and customer feedback.
