Using AI at Work: AI in the Workplace & Generative AI for Business Leaders
On "Using AI at Work", your host Chris Daigle and his expert guests help business leaders, executives, and teams who want to turn artificial intelligence into a real competitive advantage. Each episode shares real-world AI applications and AI transformation stories from companies successfully using AI in the workplace to improve productivity, decision-making, and operations.
You’ll hear from Chief AI Officers, innovators, and forward-thinking executives who are putting generative AI at work, from AI productivity tools and AI-powered workflows to non-technical AI training and workplace AI adoption strategies.
We cover:
- AI for business leaders – how executives use AI to lead change and drive ROI
- Generative AI tools – practical, easy-to-implement solutions for teams
- AI automation in business – streamline operations without massive tech budgets
- Executive AI education – upskilling leaders and managers for the AI era
- Real-world AI case studies – lessons learned from successful AI implementation
- AI in operations management – optimizing processes and reducing costs
- Ethical AI in business – navigating responsible and effective AI use
Whether you’re exploring AI adoption, leading AI-powered transformation, or looking for AI implementation guides, this podcast delivers a clear, non-technical roadmap to succeed in the AI-driven economy.
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Using AI at Work: AI in the Workplace & Generative AI for Business Leaders
113: Using AI Agents for Business: From Chatbots to Autonomous Workflows with Bryan McAnulty
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Summary
The biggest shift in AI may be moving from asking questions to assigning work. In this episode Chris sits down with Bryan McAnulty, founder and product director of Heights Platform and LatchLoop, to explore why leaders should approach AI as a worker assigned to tasks and projects rather than a chatbot producing one-time answers. Bryan explains how long-running agents can conduct research, analyze information, automate recurring work, and support teams without constant human supervision.
Chris and Bryan also unpack the operating model leaders need around context, permissions, approval gates, prompt injection, process ownership, and human judgment. Listen to learn how to begin with specialized agents, protect critical systems, and use expanded AI capacity to create better customer outcomes rather than simply reduce headcount.
Chapters
00:00 Episode Trailer
02:11 Meet Brian McAnulty: From Creator Platforms to AI Agents
06:36 New Chat vs. New Task: A Fundamental Shift in AI
12:08 Three Ways to Work with AI Agents
17:23 How AI Agents Actually Work Behind the Scenes
24:16 Security & Guardrails: Keeping AI Agents Safe
29:51 Will AI Agents Replace Jobs? A Better Question to Ask
33:30 Owning Your Processes: Why It Matters in the AI Era
38:06 What Is an Agent Harness? Explained
39:38 How Soon Is Too Soon to Deploy AI Agents?
43:24 Closing the Implementation Gap: Getting Started with Agents
🔎 Find Out More About Bryan McAnulty
Bryan McAnulty on LinkedIn: https://www.linkedin.com/in/bryanmcanulty
LatchLoop: https://www.latchloop.com/
Heights Platform: https://www.heightsplatform.com/
The Creator’s Adventure Podcast: https://www.heightsplatform.com/the-creators-adventure
🛠AI Tools and Resources Mentioned:
ChatGPT: https://chatgpt.com/
ChatGPT Work: https://help.openai.com/en/articles/20001275/
OpenAI Codex: https://openai.com/codex/
OpenAI GPT-5.6: https://help.openai.com/en/articles/20001354-gpt-56-in-chatgpt
Claude: https://claude.ai/
Claude Code: https://www.anthropic.com/product/claude-code
Claude Cowork: https://www.anthropic.com/product/claude-cowork
Claude Tag: https://www.anthropic.com/news/introducing-claude-tag
Google Gemini: https://gemini.google.com/
OpenClaw: https://openclaw.ai/
Hermes Agent: https://hermes-agent.nousresearch.com/
Model Context Protocol: https://modelcontextprotocol.io/
GitHub: https://github.com/
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