Illustrative AI-generated scene for the Thinkific case study
AI illustration*

Company Brain case studies

One question instead of five systems

How an online learning software company joined its scattered customer knowledge so anyone can prepare for a call

  • CompanyThinkific
  • SectorOnline learning software
  • SourceVendor customer story, Guru, August 2026

As a business grows, what it knows about its customers spreads out. Sales notes go into the CRM, call recordings pile up, support tickets sit in another tool and the best insights get shared in chat. A few experienced people end up as the ones who know where to look.

At Thinkific, which makes online learning software, operations teams acted as human search engines for questions such as which customers had asked for a feature. Daniel Andrew, Sr. Director of Finance and Operations, told Guru that once you multiply that search time across the hundreds of people in the company, "it actually becomes pretty meaningful."

What Thinkific did

Thinkific connected Salesforce, Gong, Zendesk, Slack and Google Drive to Guru as one governed knowledge layer. It structures content, keeps it accurate over time and enforces the permissions already set in each source system. On top of it, the company runs Guru Knowledge Agents for specific jobs: a Call Prep Copilot for sales and customer success, a Research mode for cross-source analysis and an RFP agent that drafts responses from product documentation, security policies, feature details and past approved responses.

In one example, Andrew looked for customers above a GMV threshold who had asked about stablecoins as a payment method: "I was really impressed with what came back in a research report that had a short list of customers, links to their support tickets where they had mentioned relevant topics." As reported by Guru in this vendor customer story, call prep went from 30+ minutes of manual research across multiple systems to a single query, and research takes minutes instead of days. On RFPs, Chief Revenue Officer Amanda Malko said: "Now we've automated the bulk of that."

What it already gives the business

Customer knowledge that once needed the right person now answers anyone who asks, with citations back to the source. Andrew noted that the team did not need to be skilled prompt engineers to get value from it. The operations people who used to field those requests now get that time back.

Thinkific has hundreds of employees, more than most businesses we work with. The model still scales down. A smaller business with a CRM, a ticket tool and a shared drive has the same scattered knowledge and the same few people who know where everything is.

The ExValu perspective, a hypothesis

Where a Company Brain could take it next

Call notes and tickets show what customers said. The business also holds what it decided in response: which requests shaped the product, which objections were answered and how.

Thinkific already names its next step, automating the flow of knowledge from engineering into customer-facing help content. A Company Brain could link those decisions to each customer record, so a new account manager sees the full history behind a relationship. That remains our hypothesis.

What an owner and a buyer would look for

An owner would track call prep time, how often operations staff get pulled into lookups and how quickly an RFP draft is ready for review. Each one shows whether customer knowledge now reaches people without a detour through a colleague.

A buyer wants customer knowledge in systems the business owns, with access rules that match each person's role. The source permissions Thinkific kept in place are the kind of control a buyer can audit. Call recordings and tickets contain personal data, so define the purpose of each connected source and how long it is kept.

The problem behind this case

Facing the same problem?

About this analysis

* The image is AI-generated and does not show Thinkific staff. The facts and figures on this page come from the published source named below.

This is an independent ExValu analysis of a published case. Facts, figures and names are as reported in the source below, which our team checked on October 14, 2026. The ideas for next steps are our own perspective and make no claim about conditions inside Thinkific. To request a correction or removal, write to [email protected].

Primary source: Vendor customer story, Guru, August 2026. Available at www.getguru.com/customers/thinkific.

Your knowledge, your opportunities

What could your business do with everything it knows?

Every customer insight, every hard-won fix and every good idea becomes something the whole team can use, and each new piece builds on the last. Your people decide faster, new hires find their feet sooner, and you see where the business can grow next. Answer a few short questions to see if it fits. If it does, pick a time for a 30-minute call with our team.

See if it fits your business