What challenges did Nsure.com face before AI implementation?

Manual processing of insurance quoting and customer service limited growth and scale. Agents spent significant time validating, merging, and standardizing data from 50+ insurance carriers, including those with no APIs. High operational costs due to reliance on more than 100 agents handling 100,000+ customer interactions monthly. Customer service suffered delays from manual document review and large volumes of unstructured emails. Analytics and insight generation lagged due to fragmented data sources.

What was the impact of the AI solution?

Reduced manual processing workload by more than 60%. Cut operational costs by 50%. Enabled 100% revenue CAGR from 2020-2023. Improved customer satisfaction to 4.7/5 from 4,000+ reviews. Agents handle many times more policies, supporting exponential business growth.

Source

MicrosoftExpanded

Nsure.com Reduces Manual Insurance Workflows and Scales Rapidly with AI Automation

Use case typeCustomer service automationUpdated Jun 13, 2026

Nsure.com, a Florida-based digital insurance agency operating across all 50 US states, faced challenges scaling manual quoting and customer service processes as business demand grew. Leveraging Microsoft Power Platform, Azure OpenAI, Copilot Studio, Fabric, and Netwise as a partner, Nsure.com automated hundreds of complex tasks, including communications, document processing, and data merging from multiple carriers—many of whom use legacy systems. AI-driven automation and Copilots now handle most routine customer queries, sentiment analysis, and unstructured email routing, freeing agents for higher-value cases and improving policy processing efficiency. Hosted RPA via Power Automate and deep analytics via Fabric/Power BI enabled exponential revenue growth and reduced manual labor. Custom Copilots now handle up to 90% of initial customer support queries, integrating with core systems to create a unified, scalable digital platform. Security and governance are built with Azure DevOps and Power Platform DLP policies. Customer satisfaction jumped (4.7/5 from 4,000+ reviews) and costs dropped by 50% thanks to this end-to-end AI transformation.

Organization: Nsure.com
Industry: Insurance
Location: United States
Published: June 2024

Reported outcomes

100%

revenueRevenue & growth

−60%quantified impact−50%cost

Strategic outcomes

Speed & agilityAutomated hundreds of manual workflowsNew product / capabilityBuilt AI Copilot for support queriesBetter decisions & insightEnabled unified real-time analyticsCustomer experience & trustImproved customer satisfaction and support

Catalog median for revenue & growth deployments: +35% across 151 reported metrics. Compare benchmarks →

Primary read

Use case focus

Showing 3 of 5

1AI-driven Insurance Quote Automation
2Automated Customer Service Workflows
3Document Classification and Data Extraction from Unstructured Content

Manual processing of insurance quoting and customer service limited growth and scale.
Agents spent significant time validating, merging, and standardizing data from 50+ insurance carriers, including those with no APIs.
High operational costs due to reliance on more than 100 agents handling 100,000+ customer interactions monthly.
Customer service suffered delays from manual document review and large volumes of unstructured emails.
Analytics and insight generation lagged due to fragmented data sources.

Implemented Power Platform and Power Automate to streamline and automate hundreds of manual customer service and quoting tasks.
Adopted Azure OpenAI generative AI for sentiment analysis, text recognition, and process automation.
Built custom AI Copilot (via Copilot Studio) to handle up to 90% of standard support queries, voice support, and after-hours requests.
Used AI Builder for entity extraction and workflow automation from unstructured content (emails, documents).
Integrated Microsoft Fabric and Power BI for unified analytics and real-time dashboards.
Utilized Azure DevOps for secure, rapid fusion development and continuous integration/deployment.

Technologies

Power Platform Azure OpenAI AI Builder Copilot Microsoft Fabric Azure DevOps Power BI

Reduced manual processing workload by more than 60%.
Cut operational costs by 50%.
Enabled 100% revenue CAGR from 2020-2023.
Improved customer satisfaction to 4.7/5 from 4,000+ reviews.
Agents handle many times more policies, supporting exponential business growth.

Architecture

Data from 50+ carriers (APIs and legacy) is merged and cleaned via Power Platform flows. AI Builder and Azure OpenAI drive sentiment analysis and classification from emails and documents. Power Automate hosted RPA processes run at scale. Customer copilot deployed via Copilot Studio pulls knowledge from Microsoft Fabric, integrates with core systems, and offers voice/text support. Analytics and dashboards powered by Power BI and unified via Fabric. All automation, development, and CI/CD managed via Azure DevOps.

Implementation partners1

Netwise

Sources & evidence3

ExpandedExpanded

The same organization appears in newer AI deployment evidence.