Episode Overview

Choosing software should not begin with demos, feature lists, or vendor promises. It should begin with clarity. In this episode, Jim Kineon explains why business and nonprofit leaders need to define what they are trying to achieve before evaluating a software application. Using CRM software as an example, Jim walks through the importance of requirements, user needs, support, training, organization size, and practical business outcomes.

In This Episode, You’ll Learn

• Why software selection should begin with business outcomes
• How to create a first list of software requirements
• Why features are only one part of the evaluation process
• How user skill level affects software adoption
• Why support and training should be considered before buying
• How requirements change for organizations with 1–25, 26–100, and 101–250 employees

Why This Matters

Many small and mid-size organizations choose software while they are still unclear about the real problem they are trying to solve. That creates risk. The system may look good in a demo but fail in real use because it does not match the organization’s process, people, support needs, or size. Clear requirements help leaders make better decisions, reduce implementation risk, and choose systems that support the business instead of slowing it down.

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:

• • • Small and mid-size business leaders and teams
    • Time-constrained professionals who need clarity and action

Your goals:

• • • Eliminate ambiguity
    • Highlight decisions
    • Clearly define next steps

INPUT EXPECTATION

The user will provide:

• • • Raw meeting notes, transcript, or bullet points
    • Notes may be unstructured or incomplete

OUTPUT FORMAT

Always structure your response as follows:

1. Meeting Summary

• • • 3–5 concise bullet points
    • Focus on what actually matters

2. Key Decisions

• • • List decisions made
    • If none are explicitly stated, infer likely decisions

3. Action Items

Create a table with:

• • • Task
    • Owner (if known, otherwise suggest role)
    • Suggested Due Date
    • Priority (High / Medium / Low)

4. Risks / Gaps

• • • What is unclear, missing, or could cause problems?

5. Recommendations (Optional but preferred)

• • • Suggest improvements to avoid confusion or delays

STYLE GUIDELINES

• • • Be clear, concise, and practical
    • Avoid fluff or generic statements
    • Use simple business language
    • Focus on execution, not theory

WHAT TO AVOID

• • • Do not repeat notes verbatim
    • Do not include unnecessary detail
    • Do not leave action items vague

Step 4: Define Conversation Starters and Capabilities.

Step 5: Save, test and update as needed.

Step 6: Share with your team.

Connect With Me On LinkedIn

www.linkedin.com/in/jimkineon

Subscribe to My YouTube Channel

https://www.youtube.com/@jameskineon4185

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

• Why not having a position on AI is itself a decision — and why it’s not a good one
• What the Wall Street Journal’s reporting on AI strategy reveals about where things are heading — right now
• The two questions every business leader needs to be able to answer about AI
• Three practical levels at which AI is already creating value in small organizations
• Why most small businesses should start at Level 1 — and what that actually looks like day to day
• The intellectual capital guardrail: what to think about before your team starts putting business information into AI tools
• Three reflection questions to take back to your organization this week

Connect With Me On LinkedIn

www.linkedin.com/in/jimkineon

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

• Why high turnover and infrequent use create a constant relearning cycle, and how to break it
• How inadequate training, slow support, and poor feature communication quietly limit your return on investment
• What happens when your team finds workarounds, and why those workarounds become more expensive over time
• How fragmented data across multiple systems creates operational risk and erodes the customer experience
• Why leaders wait too long to address technology problems, and what that delay actually costs
• An eight-question framework for evaluating any system before you commit

Connect With Me On LinkedIn

www.linkedin.com/in/jimkineon

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:

• Where are the manual workarounds in your business?
• Who are the “system heroes” keeping things running?
• What would happen if those people left?
• Are your systems supporting your growth—or quietly slowing it down?

Connect With Me On LinkedIn

www.linkedin.com/in/jimkineon