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Jobber scales AI workflow adoption with internal enablement program

Ethan Schwandt, senior manager of Talent Acceleration at Jobber, built an AI and automation enablement system that starts with practical work rather than a new model. He launched a leadership hackathon for 55 directors, a hands‑on session with 161 employees, regular office hours, curated learning resources, and integrated AI into onboarding. The aim was to move staff from curiosity to building…

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Key points

  • Jobber’s active Zapier builder population grew 122% in the first 30 days of the AI adoption push.
  • 55 directors participated in a leadership hackathon and 161 employees attended hands‑on enablement sessions.
  • Workflows now connect 28 business apps and use Zapier MCP across 20 apps, with employees writing code inside Zaps.

During the first 30 days of the push, Jobber’s active Zapier builder population grew 122%. By summer, employees were running hundreds of active workflows that connect 28 business‑system apps—including Google Calendar, Google Sheets, Slack, HubSpot, Gmail, Salesforce, Intercom, NetSuite, Asana, Ashby, Livestorm, Tableau, Typeform, and Zoom—and using Zapier MCP across 20 apps. Teams such as onboarding, led by Katy Kowalczuk, now generate presentation material with Claude and automate attendance tracking, freeing time for higher‑value work. Schwandt’s effort earned him the 2026 Zappy AI Transformation Leader of the Year award and shifted Jobber from a few specialists to a company‑wide capability.

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Full story from Zapier Blog · by Rob AyreOpen source ↗

How Ethan Schwandt helped Jobber turn AI adoption into a building culture

Zapier Blog · 23 September 2026

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This text was published by Zapier Blog and written by Rob Ayre. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

Topics · follow one to build your own front page
JobberZapierGoogleHubSpotSalesforceAsanaClaudeEthan SchwandtKaty Kowalczuk

The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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