What is wearing your team down?

Get AI systems that give your team its capacity back

Friction Hits Your People First

  • Your software does not share data, duplicate entry is common.
  • Your COO reconciles invoices. Your senior engineer retypes specs out of a PDF.
  • The monthly report gets rebuilt by hand from data that already lives in your systems.
  • One person is the only one who knows how something gets done.
  • You are paying for AI seats that nobody built into the work.
  • You turned down a project last quarter because nobody had the bandwidth.
Illustration of work piling up faster than it can be cleared

You have already tried the obvious things

Hiring takes months, and the new person joins the same chain. New software adds one more place to type. Overtime buys capacity with your team’s evenings, and it runs out.

Information does not move through your business on its own. People move it. Until that changes, every fix is one more person or one more system in the chain.

Nobody has put a number on it yet

At a 20 person engineering firm we documented 141 recurring tasks eating time. Each one costs about $250 in staff time every time someone performs it. One pass through all of them is roughly 236 hours and $31,700.

That is a little over one full-time employee, spent on work nobody was ever hired to do.

Illustration of totalling the hours and cost of recurring manual work

What it looks like when the work moves on its own

  • The monthly report is in your inbox, already built.
  • Your senior engineer is on the phone with a client instead of retyping a spec sheet.
  • A good project comes in and you say yes without adding a person.
  • The process lives in a documented system instead of in one person’s head.
  • You know what the manual work was costing, because it is on a spreadsheet you own.

How it works

1

Identify the Bottleneck

We interview the people doing the work. You get a spreadsheet of every recurring task eating time, what each one costs in hours and dollars, and how each one would be solved. Then we rank them by ROI.

2

Build in waves

One outcome per wave, fixed price, agreed before anything starts. Your processes stay. Your software stays. The work keeps moving while we build.

3

Maintain the systems

Every system moves to a monthly agreement. Weekly monitoring, fixes, and adjustments as your business changes. A dashboard shows what got done.

Three ways to work together

Discovery and Roadmap

Illustration of a team reviewing an inventory of recurring tasks

Find out where the time is going and what it is costing you, with a fixed price to fix it.

Illustration of connected systems passing work between each other automatically

Systems built around how your team already works.

Education

Illustration of an instructor leading a team training workshop

Workshops, training, and speaking for teams and associations who want their people using AI well.

I ran this on my own company first

I’m passionate about helping business owners cut through the noise and actually understand what AI can do for them. I love seeing teams realize they don’t have to struggle with overwhelm or outdated processes. When people experience that shift—from uncertainty to clarity and confidence—that’s the work that energizes me and keeps me committed to this field.

I did all of this with my company first and saw some amazing results. I reduced Inkymas expense by 40% and  grew by 25% in a year without adding headcount, which USA Today covered in an article they wrote about us.

I sit with your team, not just with you. At a 20 person engineering firm I ran 20 interviews and documented 141 places where time was going. The people doing the work already know where the problems are. Most of the time nobody has asked them.

Share Your Bottleneck

Takes about three minutes.

Tell me what is wearing your team down. If it is a problem I can solve, you get a booking link within a day. If it is not, I will point you somewhere better.

Discovery engagements start at $2,500. Most of the companies I work with are doing $2M to $25M.

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