Enterprise Virtual Assistant
- chatbot sessions a day
- 300K+
- chatbot sessions a day
- containment
- 78%
- containment
- field-tech chats a day
- 10K+
- field-tech chats a day
- field-tech assistant, 0 → launch
- 4 mo
- field-tech assistant, 0 → launch
Overview
A Fortune 50 telecom company's omnichannel virtual assistant, used by customers in its app, on its website and over messaging, and by its field technicians. It handles more than 300,000 sessions a day. The team is moving it from a legacy chatbot stack to Google's ADK / Conversational Agents platform and adding generative AI for the first time. Client details are confidential.
Problem
The legacy chatbot couldn't support generative experiences. The customer and field-tech assistants were built separately, with no shared playbook layer. Five teams across three orgs had to migrate together without disrupting a channel that handles hundreds of thousands of conversations a day.
My Role
Product Manager. I own roadmap items and feature scoping and coordinate across 5 teams in 3 orgs. I turn leadership's priorities into product increments we can ship and work through trade-offs with engineering, design and operations.
What it looks like
01 · Generative answer
Virtual Assistant
Online
Connection check · last 7 days
- Gateway statusOnline
- Outages in your areaNone
- Reconnects14 · mostly 7–10pm
02 · Handoff with context
Virtual Assistant
Connecting you…
Shared with the agent
Customer reports a duplicate monthly charge. Two identical charges on Oct 3 confirmed. Identity already verified. No earlier contact about this.
Alex · Billing
Hi! I've got the details, so no need to repeat anything. I'm reversing the duplicate charge now.03 · Field-tech assistant
Tech Assist
Work order #48213
- Inspect the drop connectors for corrosion
- Replace any splitters with more than 2 ways
- Re-test SNR at the ground block
Source: Install & Repair Guide §4.2
Approach & Key Decisions
- ▹ Scoped and led a 4-month program to take the field-tech chatbot from nothing to launch. It now serves 100+ technicians and handles 10,000+ chats a day.
- ▹ Prototyped the generative Conversational Agents Playbook layer and pushed for it to go to production, where it reduced escalations to human agents.
- ▹ Led the Sales and affordable-plan enrollment modules of the omnichannel IVR migration to Dialogflow / ADK.
- ▹ Built a Gemini-powered chat transcript analysis tool so the team can see how the assistant performs in production conversations (see the separate case study).
- ▹ Kept one migration backlog across all teams so cutovers stayed in order and risks stayed visible.
Outcomes
- ★ 300K+ chatbot sessions a day at 78% containment, sustained during the migration.
- ★ Field-tech assistant launched in 4 months: 100+ technicians, 10,000+ chats a day.
- ★ Playbook prototype taken to production, with lower escalation to human agents.
- ★ Omnichannel IVR migration in progress, with the first generative AI features live in production.
More work