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.”
Pet insurance provider featuring direct-to-vet payments and high coverage limits.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Fetch's Medical records summary is part of this use case:
Related implementations across industries and use cases
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Manual document summaries bottlenecked experienced staff. Now, AI drafts preliminary risk assessments, freeing teams for complex advisory.
SOWs required manually merging data from four systems. Gemini agents now synthesize drafts, cutting manual work by up to 75%.
Educators struggled to spot at-risk students in scattered records. Now, AI drafts 250-word summaries, helping staff double daily reviews.
Reviewing handwritten, unstructured documents took handlers up to an hour per claim. Now, AI extracts and validates data automatically.
Agents spent up to 6 minutes writing inconsistent notes. Now, AI instantly summarizes 55,000 weekly calls directly into the CRM.
Manual underwriting and billing created operational bottlenecks. AI now automates submissions and policy checks, freeing brokers for advisory work.
Deciphering messy emails and handwritten PDFs took employees 7 minutes per order. Now, AI parses the unstructured data to build orders.
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.”
Pet insurance provider featuring direct-to-vet payments and high coverage limits.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Fetch's Medical records summary is part of this use case:
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.
Assessing wildfire risk bottlenecked analysts for weeks. Now, geospatial AI evaluates properties to generate quotes in minutes.
Manual document summaries bottlenecked experienced staff. Now, AI drafts preliminary risk assessments, freeing teams for complex advisory.
SOWs required manually merging data from four systems. Gemini agents now synthesize drafts, cutting manual work by up to 75%.
Educators struggled to spot at-risk students in scattered records. Now, AI drafts 250-word summaries, helping staff double daily reviews.
Reviewing handwritten, unstructured documents took handlers up to an hour per claim. Now, AI extracts and validates data automatically.
Agents spent up to 6 minutes writing inconsistent notes. Now, AI instantly summarizes 55,000 weekly calls directly into the CRM.
Manual underwriting and billing created operational bottlenecks. AI now automates submissions and policy checks, freeing brokers for advisory work.
Deciphering messy emails and handwritten PDFs took employees 7 minutes per order. Now, AI parses the unstructured data to build orders.