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Voice recognition system for insurance: automating claims without direct agent interaction

MNDA

SME
Company Type
Paris, France
Location
Team augmentation
Engagement Model
1 - 5 people
Team Size
2 - 4 years
Duration
$150K - $200K
Budget

About

Voice recognition system for speeding up insurance claim processing. Our client is an EU-based insurance company who provides insurance services to customers across the nation.

Challenge, approach, and impact

Intro

Leading global brands now embed voice recognition across operations, driven by customers demanding seamless convenience in every interaction. Insurance companies must adopt this to meet soaring expectations and stay competitive. Voice tech reduces operational strain through enhanced security: biometric authentication prevents fraud while accelerating claims processing, policy management, and customer service. This delivers faster resolutions and superior experiences.

Challenge

Ineffective claims documentation drives up costs as field agents/adjusters spend 50% of their day typing reports leaving little time for sales or hitting quotas. Insurance firms struggle to grow market share amid this administrative burden. Voice tech transforms underwriting, servicing, & claims by letting agents dictate hands-free. Customers also benefit: speech recognition simplifies applications/browsing, boosting conversion rates (typically 10-15%) by cutting paperwork.

Challenge

Manual data entry compromises record accuracy and overwhelms field agents leading to long hours, low morale, high turnover, and unbalanced workloads that hinder sales growth. In today's digital era demanding seamless, personalized on-demand experiences, insurers must modernize customer interactions. Our client sought a voice solution to accelerate claims processing, add functionality, enhance customer experience, and strengthen security for sensitive business/customer data.

How we built

AI & ML Solutions
Web Apps
Conversational AI
ChatGPT
Voice Assistants
Integrations

Testimonials

Anonymous

Innowise Sp. z o.o

Verified Testimonial

As the lead ML Engineer at Innowise on this voice recognition project, I’m thrilled with the outcome. We built a highly adaptive system that achieves 99% transcription accuracy and enables 80% of claims to process without agent intervention, transforming insurance workflows. Personalizing voice profiles for accents and styles was key to its inclusivity and natural use. Seeing agents dictate claims 3x faster while reducing errors has been incredibly rewarding.

Team structure

Client team

Paul D's avatar

Paul D

Product Manager

Daily point of contact

The client stakeholders were working closely with the team at Innowise Sp. z o.o

Agency team

2 x Backend Engineer's avatar

2 x Backend Engineer

Production

1 x ML engineer's avatar

1 x ML engineer

Production

2 x Frontend Engineer's avatar

2 x Frontend Engineer

Production

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