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.
New episodes weekly.
Start learning how to put AI to work in your business today.
Using AI at Work: AI in the Workplace & Generative AI for Business Leaders
114: Using AI Implementation Strategies To Drive Real Business Impact with Darren Ward
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Buying AI licenses is easy; changing how work gets done is the real leadership challenge. In this episode Chris sits down with Darren Ward, a Chief Strategic Innovation Officer leading internal AI adoption at a mid-market operating company. Darren shares how he moved from operational leadership into a dedicated AI role and why successful transformation requires executive ownership, practical use cases, and a clear connection to business priorities.
They discuss why pull-based adoption outperforms mandatory training, how power users create department-level momentum, and how a tiered stack of Gemini, ChatGPT, Claude, and an internal RAG interface can balance capability, cost, and data access. Darren also explains how policy, prompting fundamentals, human review, and approved tools reduce hallucination risk and shadow AI. Leaders should listen for a grounded playbook for moving from experimentation to measurable adoption without treating AI as another technology side project.
Chapters:
00:00 Introduction
02:05 Darren Ward’s Path From Operator to AI Leader
08:04 Why AI Needs Executive Ownership
11:34 Replacing Push Training With Power User Adoption
19:32 Finding Measurable AI Use Cases
25:24 Turning an Engineering Skeptic Into a Champion
29:06 Connecting AI Pilots to Strategic Objectives
31:12 Measuring Usage and Preventing Shadow AI
34:18 What to Do After Buying AI Licenses
37:50 Designing a Three-Tier AI Tool Stack
41:22 Private LLMs, RAG, and Internal Data
51:59 Start Small, Start Now
Resources:
🔎 Find Out More About Darren Ward
Darren Ward on LinkedIn:
https://www.linkedin.com/in/jdarrenward
🛠 AI Tools and Resources Mentioned:
ChatGPT:
https://chatgpt.com/
Google Gemini:
https://gemini.google.com/
Claude:
https://claude.ai/
Claude Code:
https://www.anthropic.com/product/claude-code
Microsoft Copilot:
https://www.microsoft.com/en-us/microsoft-copilot
OpenAI API:
https://platform.openai.com/docs/
Anthropic API:
https://docs.anthropic.com/
Gemini API:
https://ai.google.dev/gemini-api/docs/
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