100 case studies generated without adding headcount

Leah (formerly ContractPodAI) is a global leader in Agentic AI, recognized by Gartner as a CLM Visionary for five straight years. They had hundreds of happy customers — but almost no customer proof. The traditional case study process took months: scheduling calls that get canceled, waiting for approvals, writing drafts, submitting for review. Sometimes a single case study took eight months to get across the finish line.

“It has been an incredibly arduous process historically to get customer case studies.”

— Anna Burke, CMO

They considered hiring a Customer Marketing Manager — going rate $150K-$280K — but even with the budget, any new hire would spend their first six months just cleaning up CRM data. Tools like Influitive and UserEvidence all depend on CRM data being clean. Same problem, different wrapper.

We connected AdamX to their call recording platform and processed 12,000 customer calls — over 100 million words of conversation data spanning 1.5 years. Within the first week, the system had identified 2,000 champions across 500 accounts, scored sentiment on every conversation, and begun generating case studies automatically.

The case studies weren't generic summaries. Each one pulled specific metrics, exact quotes, and real project details from the calls. Multiple versions were generated: executive summaries for C-suite buyers, technical deep-dives for engineering teams, and industry-specific variants for different verticals.

“We can now roll out 100 case studies in the time it used to take to produce one.”

— Anna Burke, CMO

The case studies became the foundation for everything else — blog posts, LinkedIn content, prospecting emails, reference materials. One capability unlocked an entire marketing engine.