Tender & Product Bot
One AI assistant, two jobs: instant product knowledge for everyone, and human-in-the-loop tender creation for Sales. Tender time cut from a month to two weeks.
Role
Product Owner & AI Lead
Timeline
2025 · shipped to Sales, PM & PMM
The challenge
Product knowledge, specs, prices, features, lived scattered across documents most people didn't know existed. Finding an answer took hours; building a customer tender took a month of hunting, assembling and checking.
The decision
Chose RAG on Azure AI Foundry over Fine-tuned model
Product data changes weekly, ground the model on live sources and answers stay current; fine-tune and you're retraining forever.
How I approached it
- 01Collected use cases from Sales, PM and PMM, and split the product in two: open product knowledge for all, tender creation gated to Sales via Azure AD.
- 02Wrote the PRD with the human-in-the-loop boundary explicit, the AI drafts the tender, the salesperson reviews, decides and owns what the customer sees.
- 03Built RAG grounded on the product portfolio, specs, pricing and documentation, so answers cite the source instead of guessing.
- 04Shipped through epics and user stories with adoption tracked from day one across the three user groups.
Impact
- ✦End-to-end tender creation from 1 month to 2 weeks.
- ✦Product answers from hours of document-hunting to seconds.
- ✦Consistent answers across a 5,000+ SKU portfolio.
- ✦Sales, PM and PMM working from the same source of truth.
Stack
- Azure AI Foundry
- RAG
- Azure AD
- Python