How Stamped went from near-zero AI adoption to uncovering hidden insights with Adapt

When Sarah Wissel joined Stamped as the CPO, AI was only a small part of the company's working style. Most employees used ChatGPT a couple times a week at best — disconnected from any company data, tools, or context. The team had 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 — extracting patterns took 3 to 6 hours per pull, so the analysis often did not happen at all
• 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 — Zendesk ticket pulls that used to take 3 to 6 hours now run on demand, accurate enough that the team runs them on a biweekly cadence they never could have sustained before
• People built tools they actually use — one support engineer with no AI experience built an internal dashboard on their first try that they now use 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 in siloed systems became a daily habit. Adoption was immediate. Previous patterns hidden in ZenDesk and answers to questions like "Should we escalate this support issue to engineering?" finally had a path to clarity. The CEO was so convinced that he personally onboarded another company to Adapt.

• 3 to 6 hours saved per Zendesk insights pull, now run biweekly on a cadence the team could not sustain manually
• 42,000+ messages sent across the team in 3 months, with key leadership as active daily users
• 15 tools and data sources connected, giving Adapt full context across the business
• Zero-to-dashboard in minutes — an employee with no AI experience built a working internal tool on their first try

For Stamped, the impact of Adapt sorts into two buckets. The first is raw time on work the team was already doing. A recurring Zendesk pull that used to take 3 to 6 hours per run now happens on demand — and the output is not just directionally helpful, it is accurate enough to act on. The second bucket is bigger. Most of what Stamped does with Adapt today are analyses, syntheses, and decisions that simply were not happening before — because the data was too scattered, the answers too unreliable, or the work too expensive to justify. Stamped is now operating on cross-tool intelligence it never had access to before.

• 3 to 6 hours saved per Zendesk data pull, now run biweekly on a cadence the team could not sustain manually
• Results are not just directionally helpful — they are accurate enough to drive product and support decisions
• Most workflows running on Adapt today are net-new — not faster versions of existing work, but decisions Stamped could not previously make at all
• Cross-tool questions spanning Zendesk, Gong, Linear, HubSpot, and Mixpanel are now data-informed by default, instead of resolved by gut feel