Unilever · Google Cloud
15-35% increase — retailer sales
Independently reportedOther · Other · Classical ML · Scaled
Other
Tata AIA · Awarathon
Vendor-reportedInsuranceIndiaIn productionEnterpriseLLM
Vendor-reported. The customer is named and the numbers are quoted from the source page, but the account comes from the vendor. No independent confirmation.
Reported by awarathon.com (vendor self-report). Checked against the source page on 2026-09-06. 5 of 5 figures below appear on that page word for word.
The problem
Insurance agents struggled with product knowledge, handling complex customer objections, and training in regional languages, making progress tracking difficult.
What was deployed
- Vendor
- Awarathon
- Products
- Awarathon platform
- Technique
- LLM
- Build or buy
- Bought off the shelf
- Deployment
- SaaS
What changed
Each row is quoted from the source. Figures we could not find on the page in those words are marked — they are kept, not deleted, so you can judge them.
10% improvementrevenue generationwithin 4 months
“10% improvement in revenue generation within 4 months.”
Quoted word for word from the source · round percentage, no baseline given
20% improvementscores before and after training
“20% improvement in scores before and after training”
Quoted word for word from the source · round percentage, no baseline given
35% higheroverall scores on various skillsfrom untrained group
“The trained group’s overall scores on various skills were 35% higher than the untrained group.”
Quoted word for word from the source
40% improvementproduct knowledge and communication skills
“40% improvement was observed in product knowledge and communication skills of trained insurance agents.”
Quoted word for word from the source · round percentage, no baseline given
25% reductionat-risk agentswithin three months
“25% reduction in at-risk agents within three months.”
Quoted word for word from the source · round percentage, no baseline given
“We are looking for solution that caters to the training needs of our agents from diverse linguistic backgrounds. Awarathon’s multilingual platform has helped us in bringing this gap as it supports more than 10 regional languages.”
Difficulties and limits
- Requirement of platform that supports regional languages to improve understanding of agents from various regions of India.
- Equipping insurance agents with comprehensive product knowledge is challenging
- Agents struggle to handle complex objections and queries from customers
- Requirement of effective training of agents in remote areas
- Difficulties for managers in tracking agents’ progress to identify areas that need improvement
Sources
- awarathon.com — vendor self-report, 2026-06-19
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