How Stamped went from near-zero AI adoption to 74x weekly usage growth in 8 weeks

Stamped had just been acquired by Propel Commerce, and several members of the team parted ways. The remaining team needed to cover the same ground with fewer hands. AI was not part of the picture. Most employees used ChatGPT a couple times a week at best — disconnected from any company data, tools, or context. The team also tried to build a Slack bot internally for data access, but it didn't work. They evaluated Glean, but found it too expensive for what it offered.

• Customer insights were locked inside Zendesk — the support team couldn’t extract patterns without pulling in an engineer
• Product decisions required manually cross-referencing Gong calls, Linear tickets, and Zendesk feedback
• No unified way to query across GitHub, HubSpot, Mixpanel, or any other system — every team worked in its own silo
• The company needed to multiply the output of a smaller team with something that actually understood their business

Stamped deployed Adapt across the entire company, connecting it to 15 tools and data sources spanning engineering, support, product, sales, and operations. The approach was straightforward: connect everything, give everyone access, and let each team figure out how Adapt fits into their work.

• Support operations transformed — the team uses Adapt to analyze Zendesk ticket patterns, compare help documentation, and surface recurring customer issues
• Engineering built tools they actually use — one engineer with no AI experience built an internal dashboard on his first try that he now uses daily
• The COO became a daily power user — pulling cross-tool customer context spanning HubSpot, Gong, Zendesk, and Mixpanel in a single thread
• Product got a unified feedback layer — synthesizing customer feedback from Gong, Linear, and Zendesk to prioritize the roadmap

What started as a way to fill the gaps left by a smaller team became the operating layer for the entire company. Adoption was not gradual -- it was immediate. Within 8 weeks, weekly usage grew 74x. The CEO was so convinced that he onboarded his second company, KnoCommerce, as a separate Adapt customer.

• 74x increase in weekly usage within 8 weeks, growing from 19 chats per week to over 1,400
• 42,000+ messages sent across the team in 3 months, with CEO, CPO, and VP Revenue all active daily users
• 15 tools and data sources connected, giving Adapt full context across the business
• Zero-to-dashboard in minutes — an engineer with no AI experience built a working internal tool on his first try