Ep 782: How Smart Teams Stopped Prompting AI and Started Automating Workflows
Ep 782: How Smart Teams Stopped Prompting AI and Started Automating Workflows
Ep 782: How Smart Teams Stopped Prompting AI and Started Automating Workflows
Shownote
Shownote
Want better AI results?
The answer isn't to prompt better.
(At least, not anymore.)
As AI has changed drastically, so too must your company's strategy and
implementation plan.
Section's Bobby Isaacson joins Everyday AI to lay out the roadmap: helping guide
organizations from running like hamsters on the AI treadmill to actually
redefining workflows toward agentic automation.
How Smart Teams Stopped Prompting AI and Started Automating Workflows -- An
Everyday AI chat with Jordan Wilson and Section's Bobby Isaacson
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Topics Covered in This Episode:
1. AI Success Metrics in Modern Organizations
2. Shift from Prompting to Workflow Automation
3. Adopting Autonomous Agents in Enterprises
4. Importance of Context Engineering with AI
5. Top-Down Leadership for AI Transformation
6. Building AI Manifestos vs. AI Policies
7. Training Challenges: Chatbots to Agents Era
8. Closing Skill Gaps: Elite vs. General AI Users
9. Overcoming Change Management in AI Adoption
10. Fostering Curiosity and Experimentation in AI Teams
Timestamps:
00:00 Defining AI success metrics
05:19 The shift to context engineering
08:16 Leadership setting AI adoption example
11:58 CEO commitment to AI integration
14:17 Setting clear AI goals
19:06 Discussing automation and its challenges
20:48 Enterprise AI usage challenges
26:00 Leveraging AI for learning
27:45 Closing and contact information
Keywords:
AI workflow automation, autonomous agents, automating workflows, AI agents,
enterprise AI transformation, custom GPTs, prompting AI, context engineering, AI
proficiency, AI training, leadership in AI adoption, change management, AI
strategy, employee enablement, AI integration, top-down AI approach,
organization-wide AI, business process automation, AI-powered briefs, sales
automation with AI, agent-based automation, workflow optimization, context
sharing, repeatable AI workflows, AI change management strategy, AI use cases,
AI in finance, ROI calculator with AI, personalized AI training, skill gap in
AI, scaling AI solutions, technology adoption, digital transformation, AI
challenges in enterprises, curiosity-driven learning, creative freedom in AI, AI
enablement, AI policy vs manifesto, fostering innovation with AI, learning and
development AI, AI champions, process innovation
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Start Here ▶️
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Also, here's a link to the entire series on a Spotify playlist
[https://open.spotify.com/playlist/1TP8pfmlirrjxaT8d3XyJW?go=1&sp_cid=78ecd4e6-5710-48fe-ad6d-4da188993ed8].
Highlights
Highlights
The podcast discusses a fundamental shift in how organizations should approach AI, moving from simple prompting to building automated workflows and autonomous agents. The conversation highlights that the key to unlocking AI's value is no longer about crafting better prompts but about redefining business processes through context engineering and top-down leadership.
Chapters
Chapters
Defining AI success metrics
00:00The shift to context engineering
05:19Leadership setting AI adoption example
08:16CEO commitment to AI integration
11:58Setting clear AI goals
14:17Discussing automation and its challenges
19:06Enterprise AI usage challenges
20:48Leveraging AI for learning
26:00Closing and contact information
27:45Transcript
Transcript
Bobby Isaacson: This is The Everyday AI Show, the everyday podcast where we simplify AI and bring its power to your fingertips. Listen daily for practical advice to boost your career, business, and everyday life.
Jordan Wilson: When it comes to defining A...

