Episode Overview

Most small and mid-sized business leaders do not need a complicated AI plan.

They need a practical way to start.

In this episode, I explain how to build an AI strategy by focusing on one simple idea: use AI to do real work inside the business. Instead of getting lost in jargon, tool names, or endless experimentation, I show how leaders can take one repeatable task, turn it into a useful AI agent, and begin creating real business value.

This episode builds on last week’s conversation about AI agents by showing how they fit into a broader business strategy. I also compare the similarities between ChatGPT Custom GPTs, Claude Skills, Microsoft Copilot Agents, and Gemini Gems, helping business leaders understand what these tools have in common and how to think about them in a practical, business-focused way.

Six Steps for Building a Copilot Agent or Gemini Gem "Meeting Intelligence Assistant" 

Step 1: (Open CoPilot and navigate to New Agent and Configure) OR (Open Google Gemini and navigate to Gems and New Gem).

Step 2: Name your Agent (or Gem): Meeting Intelligence Assistant. 

Step 3: Enter your instructions.

(Copy the instructions below into Instructions field)

CONTEXT AND GOALS

You are a business operations assistant that turns meeting notes into clear, structured outputs that drive execution.

Your audience:

Your goals:

INPUT EXPECTATION

The user will provide:

OUTPUT FORMAT

Always structure your response as follows:

1. Meeting Summary

2. Key Decisions

3. Action Items

Create a table with:

4. Risks / Gaps

5. Recommendations (Optional but preferred)

STYLE GUIDELINES

WHAT TO AVOID

Step 4: Define Data Sources, Capabilities and Suggested Prompts.  

Step 5: Save, test and update as needed.  

Step 6: Share with your team.

Five Steps for Building a Claude Skill "Meeting Intelligence Assistant" 

Step 1: Open Claude and navigate to Customize > Create Skills > “+” > Write skill Instructions.

Step 2: Name your Skill and enter a Description: Meeting Intelligence Assistant. 

Step 3: Enter your instructions.

(Copy the instructions below into Instructions field)

You are an expert business operations advisor specializing in turning meetings into clear, actionable outcomes.

Your job is to transform raw meeting notes or transcripts into a concise, structured summary that helps business leaders take action.

---

## STEP 1: Interpret the input

- Identify the purpose of the meeting

- Identify key topics discussed

- Extract decisions, actions, and unresolved issues

- Ignore filler, repetition, and off-topic discussion

---

## STEP 2: Identify business impact

For each major topic:

- What problem is being addressed?

- What decision was made (if any)?

- What is the impact on the business?

---

## STEP 3: Extract action items

For each action:

- Clearly define the task

- Assign an owner (if mentioned, otherwise mark as “Unassigned”)

- Include due date if available

- Make actions specific and measurable

---

## STEP 4: Identify risks and gaps

Highlight:

- Missing ownership

- Unclear decisions

- Dependencies

- Potential delays or blockers

---

## STEP 5: Create structured output

---

## OUTPUT FORMAT

### 1. Executive Summary

- 3–5 bullet points

- Focus on outcomes and key decisions

---

### 2. Key Discussion Points

- Summarize major topics

- Keep concise and business-focused

---

### 3. Decisions Made

- Clearly list confirmed decisions

- If none, state “No confirmed decisions”

---

### 4. Action Items

Format as a table:

| Action | Owner | Due Date | Notes |

|-------|------|----------|------|

- If owner not specified → “Unassigned”

- If no due date → “TBD”

---

### 5. Risks / Issues

- Identify anything that could delay or impact outcomes

- Focus on organizational and process gaps

---

### 6. Next Steps

- What should happen next

- Keep it practical and actionable

---

## STYLE GUIDELINES

- Write for business leaders and executives

- Be concise and direct

- Focus on clarity and action

- Avoid unnecessary detail

- Emphasize outcomes over discussion

---

## CORE PRINCIPLE

A meeting is only valuable if it results in clear decisions and actions. If those are missing, highlight the gap."

Step 4: Save (click Create), test and update as needed.  

Step 5: Share with your team.

Note: Once you have created your Skill. You apply it by typing “/” at a prompt and selecting your skill from the list.

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Episode Overview

In this episode, I move beyond using AI and show you how to automate with it. I explain what AI Agents are and how to leverage them to save significant time on regular repetitive tasks in your small or mid-size business right now. Then I walk you step-by-step through building your first one, a Meeting Intelligence Assistant that transforms raw notes into structured summaries, key decisions, action items, risks, and recommendations in seconds.

Six Step for Building a Custom GPT "Meeting Intelligence Assistant" 

Step 1: Open ChatGPT and navigate to GPTs Create > Configure.

Step 2: Name your agent: Meeting Intelligence Assistant. 

Step 3: Enter your instructions.

(Copy the instructions below into the Instructions field)

CONTEXT AND GOALS

You are a business operations assistant that turns meeting notes into clear, structured outputs that drive execution.

Your audience:

Your goals:

INPUT EXPECTATION

The user will provide:

OUTPUT FORMAT

Always structure your response as follows:

1. Meeting Summary

2. Key Decisions

3. Action Items

Create a table with:

4. Risks / Gaps

5. Recommendations (Optional but preferred)

STYLE GUIDELINES

WHAT TO AVOID

Step 4: Define Conversation Starters and Capabilities.  

Step 5: Save, test and update as needed.  

Step 6: Share with your team.

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Episode Overview

Have you been putting off a decision about AI — telling yourself you’ll deal with it when things slow down?

In this episode, I make a direct case for why that’s not a neutral choice. Not having a position on AI is itself a strategy. It just means someone else gets to define what it costs you.

I then break down three practical levels at which AI is already showing up in small and mid-sized businesses: information and support, automating activities, and evaluation and recommendations. I explain where most small and mid-sized organizations should start, how to build from there, and what to protect as your team begins to experiment.

If you’ve been waiting for the right moment to get serious about AI, this episode is it.

What You’ll Learn in This Episode 

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Episode Overview

Have you ever invested in a system that your team quietly stopped using? Not because it was broken — but because it was just too complex to bother with on a busy day?

In this episode, I walk through the real story of a small organization that chose a capable CRM to manage their customer relationships — and watched it quietly create more problems than it solved. The system worked exactly as designed. But it was the wrong fit for the team that had to use it every day.

I break down six specific observations from this organization — from constant relearning and inadequate support, to data fragmentation and delayed action — and explains exactly how each one compounded the cost over time.

Then I turn those observations into a practical eight-question framework that any business leader can use when evaluating, selecting, or upgrading a system — regardless of industry, size, or the type of technology involved.

If your team is working around your systems instead of in them, this episode is for you.

What You’ll Learn in This Episode 

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Episode Overview

Many businesses assume their technology is working simply because the systems are running.

But running isn’t the same as performing.

In this episode of End Business Tech Frustration, I explore a common problem that quietly drains productivity in small and mid-size businesses: systems that don’t talk to each other.

When software platforms aren’t integrated, employees often become the bridge between them—manually transferring information, verifying data, and reconciling records. Over time, this creates hidden costs that slow down operations, frustrate employees, and impact customer experience.

What You’ll Learn in This Episode

✔ Why people acting as the “integration layer” between systems is expensive

✔ The hidden operational costs of manual reconciliation and workarounds

✔ How disconnected systems create delays, bottlenecks, and key-person dependency

✔ Why technology that is “still running” may still be holding your business back

✔ The importance of evaluating whether your systems are aligned with your processes and growth

A Question for Business Leaders

Take a moment to reflect on your own organization:

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Episode Overview

Most technology implementations don’t fail because of bad software.

They fail long before the system is ever turned on.

This episode reveals why, using a real-world case study of a mid-sized international manufacturer that replaced their  financial, procurement, manufacturing, and distribution systems. However, they never clearly defined what success needed to look like.

The result?

If you're a business leader planning a system upgrade, this episode will help you avoid the costly mistake of moving forward without measurable outcomes.

What You’ll Learn in This Episode

✔ Why undefined goals quietly derail technology initiatives

✔ How lack of measurable outcomes weakens organizational alignment

✔ How predictive AI features become “optional” without defined metrics

✔ Why process optimization suffers when performance targets are unclear

✔ How generic testing creates post–go-live surprises

✔ The decision-making framework that prevents implementation paralysis

✔ The one leadership question you must answer before signing a contract

The Core Lesson

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Frequently technology implementations go-lives don't go smoothly. Orders get stuck, invoices can't be created, bills can't be paid, customers get angry, and teams spend weekends fixing what should have worked from day one. But some organizations turn on new systems and nothing breaks. This episode reveals exactly why, using a real-world case study of a mid-sized international manufacturer that replaced their core business systems without a single crisis.

What You'll Learn

Who Should Listen

Key Takeaways

Leadership Alignment Matters More Than Technology Success starts when senior leadership makes participation non-negotiable and communicates why the initiative matters to every level of the organization.

Test Real Work, Not Demos Critical workflows must be validated end-to-end under real conditions. If something doesn't work in testing, it won't magically work at go-live.

Answer the Critical Question What must work on day one for the business to operate? Prioritize those processes, validate them, and build contingency plans around them.

Readiness Over Training The real question isn't "Were people trained?" It's "Can people actually do their jobs in the new system under pressure?"

Plan for Problems Before They Exist Inventory staging, customer notifications, strategic timing, and contingency planning are all forms of intentional risk reduction.

Systems Fail Where Organizations Allow Gaps It's not bad luck when implementations fail. Systems break exactly where processes aren't documented, people aren't engaged, and assumptions replace validation.

Featured Case Study

A mid-sized international manufacturer and distributor replacing core systems for financials, procurement, manufacturing, distribution, and customer service. The initiative wasn't just a technology upgrade, it was a business-critical risk. Their approach eliminated go-live chaos through disciplined preparation, not larger budgets or complex tools.

Questions to Ask About Your Organization

Before your next technology initiative, consider:

Bottom Line

Technology implementations don't fail randomly. They fail exactly where organizations allow gaps to exist. The good news? Success is completely repeatable. It doesn't require massive budgets or complex tools. It just requires saying: "Before we turn this on, let's make sure it actually works for everybody who depends on it."

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In this episode, I examine a cautionary tale about a well-funded, well-planned technology implementation that went horribly wrong—not because of bad technology, but because of organizational gaps that were never addressed. When a mid-size organization rolled out a new finance, purchasing, payroll, and CRM system, thousands of employees couldn't get paid, vendors went unpaid, and mortgages bounced. The hardest part? It was completely preventable.

This story isn't about technology failure—it's about what happens when people, processes, and organizational alignment are treated as optional rather than critical to success.

Key Takeaways

The Setup Was Sound

The Critical Mistake

What Went Wrong

The Root Cause This wasn't a technology failure—it was a people and process failure that manifested in the technology. The system did exactly what it was told to do; the problem was what it was never told.

Critical Questions for Your Organization

Before implementing any new system, ask yourself:

The Four Pillars That Must Align

Why This Matters for Every Organization

Size doesn't protect you. Small and mid-size businesses actually get hit harder when this happens because they have fewer people and less margin for error.

The cost of fixing always exceeds the cost of preventing. The organization in this story spent far more on emergency consultants, workarounds, and crisis management than they would have spent ensuring complete participation upfront.

Your system will fail exactly where it's weakest. If even one department opts out, that's where your system will break. It's not bad luck—it's simple physics.

How to Prevent This Disaster

The solution doesn't require fancy tools or massive budgets. It requires:

Bottom line: Before you turn the system on, make sure it actually works for everyone who depends on it.

Final Thought

Your technology will only ever be as strong as the people, processes, and organizational structure behind it. The next time you're planning a technology initiative, don't just ask "Is the technology ready?" Ask "Are we ready?"

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