Teams | Collaboration | Customer Service | Project Management

Everyone wants AI to fix their messy data. Andrew McBarnett will tell you straight: it won't. In fact, it'll just help you reach the wrong conclusion faster. Andrew is Group Financial Director at Lucid Group, a PE-backed medical communications agency. He joined in 2020 for what was meant to be a four month contract. Six years later, he's still there, and the numbers tell the story: EBITDA up from £3.6m to £18.1m, revenue more than doubled, legal entities cut from 25 to 15, and a finance team that's shrunk in headcount while transaction volume has nearly doubled.

Building a custom Slack app feels great. Pushing it live without breaking anything? Even better. In this episode, we'll show you how easy it is to move your app from a test sandbox to full production with the Slack CLI. You’ll learn how to switch between environments safely, avoid common deployment hiccups, and set up a smooth workflow you can use on every project from here on out. Class dismissed!

Join the Zendesk Customer Success team and the Public Sector User Group for an exclusive session unpacking the biggest announcements from! Tailored specifically for public sector teams, this video covers how new AI tools—like co-pilots and automated resolutions—can act as powerful assistants for small and overworked teams. Following the Relate highlights, dive into our interactive Wisdom Exchange where public sector users ask questions, share strategies, and workshop specific challenges together.

Miro and Endava have partnered to embed collaborative AI workflows into Dava.Flow, Endava's AI-native delivery model — helping global teams design, align, and deliver complex transformation programmes faster. By deploying Miro enterprise-wide, Endava is strengthening how its teams run workshops, align stakeholders, and hand over work across programmes. Early adoption is already showing measurable improvements in workshop outcomes, stakeholder alignment, and handover quality — with some processes reduced from weeks to days through automated, multi-step AI flows.