Episode 10: Ten AI Answers for Today’s Business Challenges

AI feels overwhelming... business leaders are asking the same set of questions.

In this episode, Angela Schultz and Loren Horsager answer the 10most common AI questions they hear from business leaders. From tool selectionto data governance to workflow automation, they cover the essentials in astraightforward, no-hype way.
You’ll learn:
- How companies are really using AI right now- Which AI tools and apps are worth your time- Why paying for AI is non-negotiable- Where to start if your team feels behind- How to measure ROI and manage risk
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Episode 9: Build Your Own – From Custom GPTs to AgenticSystems
Custom GPTs aren’t just a neat trick — they’re the training ground for theAI-powered agents of tomorrow. In this episode, Angela Schultz and LorenHorsager break down how leaders and teams can design GPTs that deliver realbusiness value, and why “build your own” beats using someone else’s template.
In this episode:
- What a custom GPT is (and isn’t)
- Four categories to try: Optimizer, Dialogic, Team, and Signature
- How to combine multiple GPTs into one advanced assistant
- Memory workarounds with ChatGPT projects
- Common pitfalls and security considerationsYou’ll leave with a clear framework to create tools that think and work in yourcontext — and the confidence to scale toward agents and workflows.
Resources:
- AI 201 Training: Hands-on experience building custom GPTs and Copilot agents
- AI 10X Coaching: Ongoing support to integrate AI solutions into your org
Follow for future episodes on AI strategy, workflows, and leadership.

AI memory is about more than storing data—it’s aboutbuilding a true thinking partner that evolves with you. In this episode, AngelaSchultz and Loren Horsager unpack how memory works in modern AI systems, why itmatters for everyday business use, and what leaders need to know as they startrelying on AI agents that 'remember'.
You'll hear:
- A simple, non-technical breakdown of AI memory- Examples of how memory changes the way we interact with AI tools- The promise and pitfalls of memory for future AI-driven decision-making- Key governance considerations when storing sensitive data in AI systems
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