GoDaddy turns operational data into AI-driven decisions with AWS Quick

GoDaddy serves more than 20 million customers worldwide and manages around 80 million domains, with a suite of AI-enabled products under GoDaddy Airo. Its mission is to make entrepreneurship more accessible for everyone.

The company had a traditional BI setup with around 5,000 dashboards, and a single dashboard could take three to four weeks to build. GoDaddy came to a simple conclusion: the answer was not more dashboards, it was more insights. It made AWS Quick its enterprise BI tool in mid-2024, and adoption grew fast — from about 550 users at the end of 2024 to more than 2,000 by Q3 2025, with every major org onboarded. In Q4 2025 it expanded into Quick's new AI toolset and began retiring its legacy BI tool.

"We came to the conclusion that the answer isn't more dashboards, it's more insights." — Jake Minette · Principal Analyst, GoDaddy

GoDaddy focused on three problems. The first was discovery — helping people find the right, trusted data when there are thousands of sources to choose from. The second was making that data usable: once someone finds a dashboard, guiding them to the insight instead of leaving them to figure it out. The third was speed — taking the repetitive manual work off people's plates so they can spend their time on what matters.

For discovery, GoDaddy built a dashboard-navigation chat agent that recommends existing dashboards. It is built on the company's own data governance and documentation, blends unstructured and structured data for strong semantic search, and lives right inside the existing AWS Quick workflow — which drove adoption organically. For understanding, a guidance agent sits next to the user, sees the dashboard and filters they are on, and explains metrics, filters, and acronyms, like having an analyst alongside them.

"It's kind of like an analyst is sitting right next to that user." — Jake Minette · Principal Analyst, GoDaddy

GoDaddy's weekly business review used to mean hours every Friday: pull up a dashboard, note the trends, type them into Word or PowerPoint, move to the next dashboard, repeat. With a flow, GoDaddy describes the review once and the tool does the legwork — locating the dashboards, generating an executive summary for each, and consolidating them into a single weekly business review ready to share with leadership.

GoDaddy now has 2,000 users with these AI tools. It reduced its dashboards by 80 percent, and it estimates about 15,000 hours a year saved as chat agents field questions that used to go to analysts, plus roughly 20,000 hours a year if even 10 percent of users build and run a flow. The company's next step is to scale this from an analytics solution into a GoDaddy-wide practice — unifying dashboards, datasets, and knowledge into one experience, and deploying agentic teammates for research, business, and automation.