Customer support · Production

Truemed automates 36% of support volume and cuts cost per ticket 67% with Lindy AI agents

The problem

Truemed needed internal automation and AI applications but lacked dedicated engineering resources, making routine development cycles too slow and expensive for a lean 50-person team handling compliant HSA/FSA payment operations.

Workflow diagram · grounded in source

Non-technical builder identifies automation need

trigger

“We had consistent needs for internal applications and automation that were too complex for basic tools but not the best use of our engineering team's time to build from scratch”

AI agents handle routine support

ai_action

“AI agents that handle routine inquiries, classify tickets, and manage escalation workflows, ultimately automating 36% of support volume”

Payment processing AI decisions

ai_action

“Internal tools that handle HSA/FSA payment questions, eligibility verification, and transaction status management with AI-powered decision-making”

Compliance response generation

output

“AI applications that generate consistent, compliant responses for health payment regulations and telemedicine requirements”

Operational workflow tools deployed

output

“Custom internal applications that streamline business processes, from lead management to customer onboarding, built and deployed in minutes rather than weeks”

Reported outcome

Truemed automated 36% of customer support tickets and reduced cost per ticket from $1.00 to $0.33, a 67% cost reduction on automated tickets, while rapidly building multiple internal AI applications across payment processing, compliance, and operations.

Reported metrics

Support volume automated36%

Cost per ticket resolution (before)$1.00

Cost per ticket resolution (after)$0.33

Cost reduction on automated tickets67%

Show all 5 reported metrics

support volume automated36%

cost per ticket resolution (before)$1.00

cost per ticket resolution (after)$0.33

cost reduction on automated tickets67%

application build timebuilt and deployed in minutes rather than weeks

Reported stack

Lindy

Source

https://www.lindy.ai/case-study/truemed

Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

Truemed automated 36% of customer support tickets and reduced cost per ticket from $1.00 to $0.33, a 67% cost reduction on automated tickets, while rapidly building multiple internal AI applications across payment pro…

What tools did this team use?

Lindy.

What results were reported?

Support volume automated: 36%; Cost per ticket resolution (before): $1.00; Cost per ticket resolution (after): $0.33; Cost reduction on automated tickets: 67% (source-reported, not independently verified).

How is this customer support AI workflow structured?

Non-technical builder identifies automation need → AI agents handle routine support → Payment processing AI decisions → Compliance response generation → Operational workflow tools deployed.