AI Sales Assistant
PROJECT / 07Useful replies need facts and a human handoff.
Three things to know
- My responsibility
- Product direction, AI workflows & full-stack development
- Key decision
- Ground replies in business information and validate channel delivery reliability.
- Delivery scope
- Development and channel validation are ongoing; this is not a fully operational service.
An AI conversation workspace for small businesses, bringing customer and product information together with reply drafts and follow-up records.
Ground each reply in the business.
Products, prices and rules stay within the correct merchant account. The reply flow reads those facts and checks the generated result; missing information and uncertain cases go to human review.
A four-language workspace brings together conversations, customers, settings and sales follow-up. Operators can edit, approve or reject drafts and take over a conversation.
Treat delivery as a reliability problem.
Webhook events, processing jobs and outgoing messages have separate records. Duplicate events, retries and human handoff are checked, while queued, provider-accepted and delivered states remain distinct.
My work covers product scope, the division between AI and operators, tenant isolation and recovery paths.
Channel validation is ongoing.
The workspace and several local workflows are implemented and tested. As of the September 2026 records, live WhatsApp activation still depends on Meta business verification and subsequent delivery checks.
This case demonstrates the product and engineering work. Live automated replies to real customers are not yet offered.
PROJECT NOTES
Project notes
These dates describe updates to this portfolio record, not product releases.
- Case record updated
- Recorded product status
- In development · channel validation
- Documented work
- Development and channel validation are ongoing; this is not a fully operational service.
- Next evidence to add
- A permissioned example showing human review of an assistant response.
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