What challenges did Hanover Research face before AI implementation?

Hanover Research faced growing complexity in client needs and a vast, 20-year repository of diverse research reports and documents. Researchers were spending significant time manually sifting through large arrays of documents, limiting their ability to provide timely, deep insights. The need to generate detailed, customized analytics for 1,400+ clients required more efficient workflows. Maintaining high trust in data security and governance was critical for clients handling proprietary or confidential information.

What was the impact of the AI solution?

Accelerated insight identification and delivery by up to 10 times. Researchers can focus more time on complex research rather than manual document analysis. Enabled more tailored and in-depth insights for over 1,400 clients. Strong security and compliance with data governance protocols maintained.

Source

Microsoft

Hanover Research accelerates insight delivery across client data

Use case typeInvestment researchUpdated Jun 13, 2026

Hanover Research, a custom market research and analytics provider, sought to streamline research workflows and accelerate insight identification across 20 years of historical data. To achieve this, they built a customized AI-powered research platform (Hanover Intelligent Virtual Engine, or HIVE) using Microsoft Azure OpenAI Service. Microsoft AI partner Neudesic worked with Hanover to identify high-impact use cases for AI, develop a proof-of-concept solution, and facilitate implementation. HIVE enables highly efficient querying of complex, historical research repositories across diverse formats such as Word, PDF, Excel, and PowerPoint, providing real-time citation and enhanced analysis capabilities. Analysts can rapidly sift through large data volumes and generate actionable insights tailored to client needs, reducing manual workload and speeding up delivery. The AI solution is secure and scalable, equipped with strong governance to protect sensitive data and client confidence. Hanover anticipates ongoing integration of Azure OpenAI Service into research workflows, unlocking new analytics for their 1,400+ clients.

Organization: Hanover Research
Industry: Professional Services
Location: United States

Reported outcomes

10x

timeTime & speed

Strategic outcomes

Speed & agilityAccelerated insight deliveryNew product / capabilityBuilt an AI-powered research platformCustomer experience & trustEnabled more tailored client insightsRisk & complianceMaintained strong data governance and compliance

Catalog median for time & speed deployments: +80% across 203 reported metrics. Compare benchmarks →

Primary read

Use case focus

Showing 3 of 3

1AI-Powered Virtual Research Assistant
2Automated Document Analytics for Market Research
3Accelerated Insight Extraction from Multi-Format Data

Hanover Research faced growing complexity in client needs and a vast, 20-year repository of diverse research reports and documents.
Researchers were spending significant time manually sifting through large arrays of documents, limiting their ability to provide timely, deep insights.
The need to generate detailed, customized analytics for 1,400+ clients required more efficient workflows.
Maintaining high trust in data security and governance was critical for clients handling proprietary or confidential information.

Partnered with Neudesic to design and implement a flexible, AI-powered research platform (HIVE) using Microsoft Azure OpenAI Service.
Developed custom workflows for data querying, citation generation, and multi-format document processing.
Delivered a proof-of-concept leveraging Azure OpenAI Service for scalable, generative-AI research capabilities.
Incorporated secure and governed cloud integration to ensure data confidence.

Technologies

Azure OpenAI

Accelerated insight identification and delivery by up to 10 times.
Researchers can focus more time on complex research rather than manual document analysis.
Enabled more tailored and in-depth insights for over 1,400 clients.
Strong security and compliance with data governance protocols maintained.

Architecture

Custom research platform integrates a document management repository with Azure OpenAI Service for advanced querying, citation, and AI analysis across formats. Security is maintained via Azure standards and governance frameworks, and workflows are tailored to support rapid data ingestion and multi-format processing, enabling conversational, AI-powered research insights.

Implementation partners1

Neudesic

Sources & evidence1

Groundedness: 4/5

Primary source

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Customer evidence