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AI Readiness Starts with Documentation: Lessons from Remote Work

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Manage episode 516182122 series 2928679
Content provided by David Rice. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by David Rice or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

If you’re out there being told to slap AI tools onto everything and call it “digital transformation,” this episode is your reality check. I sat down with Darren Murph—yes, the remote‑work oracle behind GitLab’s all‑remote strategy—to pull back the curtain on what needs to exist before you ever type “chatbot” or “LLM integration” into your roadmap.

We dug into why good documentation isn’t optional anymore, why remote‑work lessons are now directly relevant to AI adoption, and how companies who rushed ahead without building infrastructure are setting themselves up for a trust disaster. In short: if your data, your knowledge systems, your culture aren’t ready for AI, this technology is not your solution—it’s your liability.

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Support the show

  continue reading

Chapters

1. Rushing Into AI Without Foundations (00:00:00)

2. Knowledge As The Core System (00:02:06)

3. The One-Star Experience Warning (00:03:23)

4. Trust, Hygiene, And AI Adoption (00:05:34)

5. Are Orgs Ready For AI Internally (00:08:22)

6. Remote Lessons: Transparency And Async (00:11:06)

7. Hybrid Reality Needs Remote Principles (00:13:51)

8. From Tasks To Creativity And Learning (00:16:31)

9. Incentives, Profit Sharing, And Ops (00:19:41)

10. Balanced Governance With Clear Goals (00:22:26)

11. Clarity, Structure, And Writing Culture (00:24:41)

161 episodes

Artwork
iconShare
 
Manage episode 516182122 series 2928679
Content provided by David Rice. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by David Rice or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

If you’re out there being told to slap AI tools onto everything and call it “digital transformation,” this episode is your reality check. I sat down with Darren Murph—yes, the remote‑work oracle behind GitLab’s all‑remote strategy—to pull back the curtain on what needs to exist before you ever type “chatbot” or “LLM integration” into your roadmap.

We dug into why good documentation isn’t optional anymore, why remote‑work lessons are now directly relevant to AI adoption, and how companies who rushed ahead without building infrastructure are setting themselves up for a trust disaster. In short: if your data, your knowledge systems, your culture aren’t ready for AI, this technology is not your solution—it’s your liability.

Related Links:

Support the show

  continue reading

Chapters

1. Rushing Into AI Without Foundations (00:00:00)

2. Knowledge As The Core System (00:02:06)

3. The One-Star Experience Warning (00:03:23)

4. Trust, Hygiene, And AI Adoption (00:05:34)

5. Are Orgs Ready For AI Internally (00:08:22)

6. Remote Lessons: Transparency And Async (00:11:06)

7. Hybrid Reality Needs Remote Principles (00:13:51)

8. From Tasks To Creativity And Learning (00:16:31)

9. Incentives, Profit Sharing, And Ops (00:19:41)

10. Balanced Governance With Clear Goals (00:22:26)

11. Clarity, Structure, And Writing Culture (00:24:41)

161 episodes

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