Prequalification chatbot for tax incentives with TaxTaker

The Opportunity

The Opportunity

We connected with our client TaxTaker, a specialty tax incentives firm, to help them create efficiencies and greater opportunities for scale within their business. Their primary issue was that their capacity to onboard new clients was constrained because of the experts required to qualify and onboard new clients. The IRS guidelines for R&D tax credits is complex and requires an expert to distill heavy tax language into digestible questions to ensure that their client activities qualify for the credits. This meant that in order to intake clients, TaxTaker had to setup calls with each prospect, to ensure they met the minimum requirements, and then conduct an interview to see what activities they could claim credits for.

After learning all of this information, the team came together and found that a chatbot who could both answer questions about the tax credits, as well as perform the calculations and pre-qualify potential leads before TaxTaker even saw them was going to be the key.

The Solution

The Solution

We worked with the TaxTaker team to create an intelligent chatbot that had a deep understanding of the R&D tax code and prequalify site visitors using their firm's specialized process. We trained the bot on TaxTaker's process, the IRS R&D tax credit code, and plenty of sample conversations to create an experience that mimiced as close as possible what TaxTaker would do on their sales calls.

Not only did the chatbot utilize PressW's special conversation flow techniques to ensure continuity, it also integrated directly with Gusto to give prospects personalized results directly in the conversation.

In our tests, we saw that their team was spending 30% less time dealing with prospects who were not qualified, and their close rate went up 10%.

Tools

LangChain - Python - Google Cloud - Docker - LangServe - React - NextJS

Highlights
  • Created automated prospecting pipeline from website

  • Unlocked ability to prequalify without sales call

  • The team was spending 30% less time dealing with prospects who were not qualified

  • Their close rate went up 10%.

Content
Case Study
Case Study
Case Study
Tools

LangChain - Python - Google Cloud - Docker - LangServe - React - NextJS

Highlights
  • Created automated prospecting pipeline from website

  • Unlocked ability to prequalify without sales call

  • The team was spending 30% less time dealing with prospects who were not qualified

  • Their close rate went up 10%.