Digitizing Sales Engagement

Using AI to Boost Qualified Sales Leads

2 organizations . 20+ people . 1 scrum team . 5 months

0 to 1 Design . AI Design . Web App

๐ŸŽฌ Background

Prospective buyers and existing customers visit Autodesk websites expecting seamless, friction-free experiences. But while sales pages listed phone numbers, support and education teams only offered chat or case-based help - leading to an inconsistent, frustrating experience.

๐Ÿ˜ตโ€๐Ÿ’ซ Problem

Roughly 20,000 inbound calls hit the digital sales team each quarter - yet 44% of those were actually for post-purchase or educational support, creating unnecessary volume, wasting time, and leaving customers frustrated.

๐Ÿ‘’ My Role

Lead Designer, AI Designer and UX Manager

  • Sole designer on this project while leading a team of three designers who were working on other use cases for AI.

  • AI Design Strategy, Competitor Analysis, Early Concepts, Wireframes, UI Component Library

๐Ÿš€ Solution

  • Autodeskโ€™s AI-powered, digital-first sales chat experience that identified sales vs. support inquiries, and gradually replaced phone numbers across the US.

  • Conversational component library centralized reusable UI patterns to streamline handoff and speed up implementation.

โš ๏ธ Expanding the Mission

We were gearing up to launch sales chat, when data scientists who were experimenting with ChatGPT had a model ready to inject LLM + RAG-powered self-service (based on ChatGPT 3.0) into the chat. All teams hustled and leaned into the excitement to get it ready.

  • Quickly shifted scope so support automated question resolution

  • Partnered with sales to identify top use cases

  • Brought in conversation designer to shape model responses

  • Collaborated with Legal and Data Science to set trust guardrails (e.g. error handling, turn limits)

๐ŸŽฏ Outcome

  • 30% of phone volume successfully shifted to chat within 4 months

  • 25% of chats converted to live sales conversations

  • 3,127 chats completed, generating 1,056 qualified leads and $625K in billings

  • Initial open rates were under 1% - added a time-based pop-up nudge that engagement by 15%

  • Nudge success informed a broader nudging strategy across the customer lifecycle

  • Education users were bypassing cues โ€” implemented a hard redirect to maintain sales focus

  • Component library reduced confusion and re-work across design engineering, and QA

๐Ÿ’Ž Takeaway

Launching something cool doesnโ€™t mean they will come. A few well-timed nudges drove awareness and gently guided customers toward actions that will benefit them.