Agents sifted through 100+ pages of handwritten vet notes. Now, AI chronologically summarizes these records for agents to validate.
An Australian pet insurance provider operating in a market where 85 percent of pet owners lack coverage and advanced veterinary treatments routinely exceed $10,000.
To offer customers coverage certainty from day one, specialized agents spent up to three hours sifting through more than 100 pages of unstructured,...
“We realized that to truly change the industry and make pet care affordable, we couldn't just stitch together off-the-shelf software. We needed total control over our roadmap to solve complex data problems like analyzing clinical histories upfront. That’s why we chose to build our own stack on Google Cloud from day one.”
Fetch's Medical records summary is part of this use case:
Pet insurance provider featuring direct-to-vet payments and high coverage limits.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Related implementations across industries and use cases
Agents manually checked data across scattered systems. AI now scans unstructured evidence in seconds, boosting fraud detection 6x.
Scattered data and brittle connectors slowed insights for months. AI now normalizes invoices to deliver intelligence in hours.
Legacy systems choked on 1,000-page medical files. AI now converts handwritten notes and 1970s scans into structured data.
SOWs required manually merging data from four systems. Gemini agents now synthesize drafts, cutting manual work by up to 75%.
Routine tasks bottlenecked execution. AI agents now automate analysis and finance, saving employees 7 hours weekly.
Recruiters lost 40% of their time to manual scheduling. An AI agent now handles coordination, letting candidates self-book via chat.
Agents juggled disconnected tools and lost hours to manual wrap-ups. Now, AI assists them in real time and automates post-call summaries.
Manual translation dragged 60-minute calls to 90+, silencing experts. Now, live AI captions let teams collaborate in native languages.
Fleet repair estimates took up to 48 hours. Autonomous agents now process them in 30 minutes, absorbing a 10x volume surge.
Agents sifted through 100+ pages of handwritten vet notes. Now, AI chronologically summarizes these records for agents to validate.
An Australian pet insurance provider operating in a market where 85 percent of pet owners lack coverage and advanced veterinary treatments routinely exceed $10,000.
To offer customers coverage certainty from day one, specialized agents spent up to three hours sifting through more than 100 pages of unstructured,...
“We realized that to truly change the industry and make pet care affordable, we couldn't just stitch together off-the-shelf software. We needed total control over our roadmap to solve complex data problems like analyzing clinical histories upfront. That’s why we chose to build our own stack on Google Cloud from day one.”
Fetch's Medical records summary is part of this use case:
Pet insurance provider featuring direct-to-vet payments and high coverage limits.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Related implementations across industries and use cases
Agents manually checked data across scattered systems. AI now scans unstructured evidence in seconds, boosting fraud detection 6x.
Scattered data and brittle connectors slowed insights for months. AI now normalizes invoices to deliver intelligence in hours.
Legacy systems choked on 1,000-page medical files. AI now converts handwritten notes and 1970s scans into structured data.
SOWs required manually merging data from four systems. Gemini agents now synthesize drafts, cutting manual work by up to 75%.
Routine tasks bottlenecked execution. AI agents now automate analysis and finance, saving employees 7 hours weekly.
Recruiters lost 40% of their time to manual scheduling. An AI agent now handles coordination, letting candidates self-book via chat.
Agents juggled disconnected tools and lost hours to manual wrap-ups. Now, AI assists them in real time and automates post-call summaries.
Manual translation dragged 60-minute calls to 90+, silencing experts. Now, live AI captions let teams collaborate in native languages.
Fleet repair estimates took up to 48 hours. Autonomous agents now process them in 30 minutes, absorbing a 10x volume surge.