You. To the Power of
AI.

The numbers don't lie. A 2024 McKinsey study found that 68% of executives report their teams spend more time managing work about work than doing actual work. Your people aren't slow. They're buried under process, busywork, and coordination overhead that compounds with every hire.

The average knowledge worker spends 60% of their time on work coordination—emails, meetings, searching for information, status updates—and only 40% on skilled work they were actually hired to do.

Here's what that looks like in practice:

• • Sales teams manually qualify leads, chase down information across three systems, copy-paste data between tools. A rep touches 10 leads a day when they could handle 30.
• • Support teams answer the same questions repeatedly, dig through documentation, escalate tickets that AI could triage in seconds. Response times stretch to hours because human bandwidth is finite.
• • Operations teams compile reports by hand, reconcile data from multiple sources, spend Fridays preparing for Monday meetings instead of solving real problems.

The instinct is to hire more people. That's not the answer. MIT research shows that 70% of AI adoption failures happen when companies try to replace humans instead of augmenting them.

You don't need more hands. You need to multiply the hands you have.

The Opportunity: Amplification, Not Replacement

Companies that augment workers with AI report 3-5x productivity gains within 6 months (Harvard Business Review, 2024). Not by cutting headcount—by freeing people to do high-value work.

The research backs this up:

Why It Works (And Why It Fails)

The companies winning with AI aren't buying shiny SaaS tools and hoping for magic. They're the ones who:

1. 1. Identify specific bottlenecks — Where is time actually bleeding? What work is repetitive? What decisions take too long?
2. 2. Build targeted solutions — Not "AI for everything." AI for that exact problem your team faces every Tuesday.
3. 3. Integrate with your people — The AI doesn't replace your analyst. It handles the data gathering so your analyst can focus on insights.

The companies failing with AI are doing vendor bingo—buying tools, forcing adoption, wondering why productivity didn't magically increase.

Your team doesn't need more tools. They need systems that actually multiply their capabilities.

The Real Question

You didn't build your business to spend 60% of your time managing it and 40% growing it. That ratio should be flipped.

What if your sales rep could qualify 3x more leads per day? What if your support team could respond in minutes instead of hours? What if your operations team stopped making reports and started making decisions?

That's not a fantasy. That's just removing the friction.

The companies that figure this out in 2026 are going to run circles around competitors still drowning in busywork. The ones that don't? They'll keep hiring, keep slowing down, and keep wondering why success feels like quicksand.

Your move.