- Developers
- Learn strategies for building more complex AI agentic workflows beyond simple API calls.
- Business
- Discover how to transition from basic AI prompting to effective workflow automation for business efficiency.
This episode provides practical advice on AI workflow automation, a key area for enterprise adoption and efficiency.
Ep 782: How Smart Teams Stopped Prompting AI and Started Automating Workflows
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From Subvolts
Summary and analysis by Subvolts editorial, AI-assisted.
Bobby Isaacson of Section joins Everyday AI to discuss moving beyond basic AI prompting to workflow automation. The episode guides organizations from inefficient AI use to agentic automation, redefining how companies integrate AI. Topics include AI success metrics, context engineering, autonomous agents, and leadership's role in AI transformation.
Instead of just asking AI questions, this episode explains how companies can build automated systems that use AI. This helps businesses work smarter and get more done without constant human input.
This episode offers a practical roadmap for businesses struggling to get tangible value from AI. It moves past the hype of prompt engineering to focus on actionable strategies for automation and agentic workflows. This is crucial for companies looking to implement AI effectively, mirroring the enterprise focus of Google Gemini and Microsoft Copilot. It's for business leaders and IT professionals aiming to build robust AI strategies.
- HostJordan Wilson
- GuestBobby IsaacsonSection
- Episode Title: Ep 782: How Smart Teams Stopped Prompting AI and Started Automating Workflows
- Show: Everyday AI
- Guest: Bobby Isaacson
- Guest Organization: Section
- Length: 28 minutes
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:
- AI Success Metrics in Modern Organizations
- Shift from Prompting to Workflow Automation
- Adopting Autonomous Agents in Enterprises
- Importance of Context Engineering with AI
- Top-Down Leadership for AI Transformation
- Building AI Manifestos vs. AI Policies
- Training Challenges: Chatbots to Agents Era
- Closing Skill Gaps: Elite vs. General AI Users
- Overcoming Change Management in AI Adoption
- 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
WithCraig McLuckie WithFederico Cassano, Dmytro Dzhulgakov Page generated Oct 19, 2026. Summaries are Subvolts' own; the audio, artwork and notes belong to Everyday AI.Rebooting Enterprise AI with MCP and Kubernetes
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