Find where AI pays first.
We map how work actually moves through your company, measure the workflows that matter, and rank the opportunities by return.
How we work
How we get AI to pay for itself.
Four disciplines, one team, and a baseline you can hold us to.
§1The gap
Everyone has an AI license. Very few see it on the bottom line.
It's Thursday afternoon. One person on your team has figured out how to get ChatGPT to draft a proposal in ten minutes. Everyone else uses it to tidy up emails. The work still moves through your business the way it did three years ago.
- You bought licenses for the whole team.
- You turned on the AI features inside the software you already pay for.
- You sat through a demo that looked great, then watched it stumble on real work.
76%
of small and midsize business CEOs now use generative AI themselves.1
7%
of small businesses using AI have it fully integrated into how they operate.2
Those tools help individuals. The business still needs someone to fit AI to how it runs, bring the team along, and keep it working as the tools change. Modern Thesis takes that job off your desk.
§2The return
AI should earn its keep. Here is how you will know it does.
Capacity
Take on more work without the hires you can't find.
AI handles the routine volume, so the team you already have can take on more clients and more projects.
Return
See it on your P&L.
Before we build, we measure the time, cost and error rates of the workflows we will change. After launch, we report against that baseline in numbers you already track.
People
Move your people up to higher-level work.
Routine tasks go to AI. Your people move to the judgment calls and client relationships that need them, and they see their own work get better.
§3How we work
Four disciplines. One team that stays.
Most firms only advise, or only build. We cover all four parts of the job, and the same team carries the work from the first conversation through the years after launch.
Bring your team with you.
We plan the change with your leaders, train your people, and line up incentives so your team has a reason to use it.
Build it around how you work.
Our AI specialists and Forward Deployed Engineers build the workflows, agents and integrations. We use the tools you already pay for where they fit and build custom where they don't.
Keep it working. Keep it improving.
We monitor and maintain what we build, keep it current as better tools arrive, and report the return against your baseline.
Stewardship feeds the next round of strategy
Start a conversation
Tell us where the business is today. We will tell you where we would start.
§4Where we start
It starts with a strategic assessment. It ends with a plan you can build on.
- A map of how work really movesInterviews and workflow reviews across the parts of the business that matter most.
- A baseline you can measure againstTime, cost and error rates on your key workflows, so every result can be proven later.
- Opportunities ranked by returnWhere AI pays first, what it should cost to build, and what it should return.
- A roadmap with the first build definedThe assessment is the start of building. You leave knowing exactly what happens next.
The assessment is the first week of the project. Nothing in it is written for a shelf.
You talk to the people who will build the work. If AI won't pay for itself somewhere in your business, we will tell you that too.
§5Questions
Straight answers to the questions owners ask first.
We already pay for Copilot and ChatGPT. Do we still need this?
Keep them. They are good tools for individuals. We connect AI to your systems and your data, and build the workflows those tools can't run on their own.
How will we know it's working?
Before we build anything, we measure the workflows we plan to change. After launch, we report the results against that baseline, in time, cost and error rates.
Will my team push back?
People resist AI when they think it puts their jobs at risk. We plan for that from the start, with clear communication, training, and incentives that reward the people who adopt it.
AI changes every month. Should we wait?
Waiting is how businesses fall behind. Stewardship is built for the pace of change. We keep your systems current as better tools arrive, so you are never locked into last year's version.
Our operations are messy. Is that a problem?
Almost every business we see is messy. Untidy data is the most common implementation problem there is, and sorting it out is part of the work.
What happens to our data?
We agree on how your data is handled, in writing, before we access anything.
How much of my time will this take?
Less than you might expect. We own the work. We agree on your time commitment up front and keep to it.