Dovetail integrates Amazon Bedrock GenAI to automate data analysis, improving efficiency by 80% and saving users up to 10 hours weekly.

Dovetail, a customer insights platform, initially relied on manual data tagging and analysis. With the rise of large language models, the company sought to automate workflows, enabling faster and deeper insights from unstructured data. Using Amazon Bedrock, Dovetail rapidly integrated GenAI, enhancing features like Magic Search, which now allows natural language queries instead of simple keyword searches.

By deploying Anthropic’s Claude models via Bedrock, Dovetail introduced advanced AI-powered tools, including Magic Cluster, which categorizes customer feedback into actionable themes. These innovations enable product managers, UX researchers, and sales teams to analyze data more efficiently, improving personalization and decision-making. The automation has significantly reduced time spent on analysis, allowing users to focus on strategy rather than manual processing. These features have been particularly beneficial for companies like Instawork, helping them refine their data approaches quickly. GenAI boosts operational efficiency by 80%, allowing users to save about 10 hours a week in data analysis.

Dovetail’s commitment to data privacy is reinforced through Amazon Bedrock, which ensures all customer data remains secure and private. This setup supports compliance with regional data requirements, expanding Dovetail’s global reach. Moving forward, Dovetail plans to further innovate its GenAI offerings, pushing the boundaries of customer data analysis and maintaining its focus on creating value for user-centered businesses. With its AI-driven approach, Dovetail continues to refine its GenAI capabilities, leveraging AWS for scalability and security. The company plans to expand its AI-powered offerings, reinforcing its role as a leader in AI-driven customer insights.