Polco News & Knowledge

Everyone Has AI, But Few Know What to Do With It

Written by Jim Schuett | July 31, 2025

In the 1980s, businesses raced to buy personal computers. Visionaries promised a new era of efficiency and productivity. The future had arrived on a 30-pound beige box.

But across the country, many of those computers sat in unopened boxes. Others were placed on desks but left idle while workers kept hammering away on typewriters. The tool was there. The transformation wasn’t.

AI is going through the exact same thing right now.

AI Hype vs. AI Reality

There’s no shortage of AI headlines. No shortage of executive pressure. “Use AI.” “Make it faster.” “Reduce costs.” “Do more with less.”

So teams roll out chatbots. Plug in AI assistants. Add GPT to workflows. On paper, it’s a revolution. In practice? Often… nothing.

  • The AI tools get added, but no one has time to learn them.
  • Answers are technically correct (most of the time), but they don’t feel relevant.
  • Promises are made, but work habits don’t change.

It’s not because the tools are bad. It’s because the behavior hasn’t caught up with the capability.

A Familiar Pattern

We’ve seen this before:

  • The internet was once a novelty. People laughed at the idea of shopping online. Now you can’t run a city, or a household, without it.
  • Smartphones were dismissed as toys. Now they’re mobile command centers.
  • Email was revolutionary. Then it became overwhelming.
  • Video calls were weird. Now they’re daily.

Every major technology takes time, not just to develop, but to be adopted in a way that changes how people actually work.

That’s where AI is today. Not in a state of failure. In a state of friction.

The Real Challenge: Change While You’re Drowning

AI promises to save time. But time is the one thing no one has.

Trying to teach someone new workflows while they’re already overworked is like handing a drowning swimmer a scuba manual. They don’t need theory, they need air.

So AI systems sit unused. Or worse: they’re tried once, misunderstood, and abandoned.

Leaders start to doubt the value. Staff start to roll their eyes. And another box goes unopened on the proverbial desk.

What It Takes to Actually Make AI Work

To get real value from AI, especially AI agents, you need three things:

1. Relevance

The agent has to know your world. Your policies. Your workflows. Your documents. Generic tools give generic help. Context is everything.

2. Familiarity

The tool shouldn’t feel like a mysterious black box. It should feel like a helpful team member: available, responsive, and aligned with your goals.

3. Ongoing Support

AI is not a “set it and forget it” solution. It needs training. Feedback. Refinement. And most importantly, a place in your daily workflows.

How We Do It at Polco

At Polco, we don’t just drop an AI chatbot on your website and wish you luck.

We build AI agents around you that are trained on your actual data, policies, and priorities. We work with your team to identify the real use cases. We tailor the tone, personality, and outputs so it feels like it belongs.

Whether it’s a legislative assistant, a policy advisor, or a public-facing support bot, we create AI that’s not just powerful, but practical.

Because the real unlock doesn’t come from having the tool. It comes from using it in a way that fits your world.

The Bottom Line

AI won’t transform your organization just by showing up. It’s not a magic wand. It’s a system, and like any system, it requires training, trust, and time.

But once that switch flips? It’s not just helpful. It’s hard to imagine working without it.

Just like we don’t miss typewriters.

Ready to Move From AI Hype to AI Help?

Let’s build something real. Talk to us about how a Polco AI agent can fit your team, your data, and your workflow: so it’s not just powerful, it’s practical.

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