Applied AI for operating businesses
Is your company
falling behind on AI?
▸ scanning:
Find out with a free audit. We put a number on what manual work costs your team, then hand you a plan to win those hours back.
Free · No pitch · A plan you keep
Why now · KPMG, 2025
The gap between who talks about AI and who’s getting paid for it is wide.
1,390 leaders surveyed
17 million companies analyzed
832 tech companies quantified
0%
of leaders believe companies that put AI to work will hold an edge over those that don’t
0%
have already achieved real cost savings from it
0%
are raising the share of budget they spend on AI over the next twelve months
of EBITDA improvement for the average company. KPMG calls that estimate conservative, and it counts labor productivity alone. Real returns, sitting in work you already pay for.
That figure comes from 18 months of KPMG research: 17 million companies assessed, 72 million employees, results pressure-tested with 500 clients. Most of the value sits in ordinary work: invoices, follow-ups, reports, the things nobody has time to fix.
Source: KPMG International, “The intelligent tech enterprise,” 2025
“The next 10 years will be the biggest transformation in all of history. We will see the economy-wide productivity growth rate at least double.”
The shift
The market already moved.
The question two years ago
“Which AI tool should we buy?”
The question now
“Where does AI pay in our business, and who can put it to work?”
McKinsey
MOVE 01Growing its consulting staff by more than 20 percent because of AI, not in spite of it. When the biggest consultancy on earth staffs up, implementation is the scarce skill.
Procter & Gamble
MOVE 02Their CIO starts AI conversations with the business problem instead of the technology. The value comes from combining people, process, and data.
The biggest companies in the world are implementing right now, and the lesson keeps repeating: the technology is the easy part. What makes it pay is understanding the problem and the people doing the work. That understanding is what we sell.
The problem
Most teams are bleeding hours into work AI could already do.
The technology is ready now. What most teams are missing is a clear answer to exactly where AI pays off first, and someone to put it to work.
Three signals we see in almost every business
Repetitive manual work
CH 01Copy-paste, re-keying, chasing updates. Hours that never hit a P&L but cost you every week.
Pen reads: the same spike, every week
Decisions waiting on data
CH 02Answers buried in tools and inboxes, so the team waits instead of moving.
Pen reads: flat means someone is waiting
Tools that don’t talk
CH 03Systems that should hand off automatically but rely on a person to bridge the gap.
Pen reads: signal drops at every handoff
The free AI audit
Let’s find the AI that pays
in your business.
In a few days we quantify the hours and dollars your team loses to manual work, then hand you a prioritized plan to win them back. Some of the wins are saved hours. Others are faster answers and better decisions, which are worth more. Yours to keep, whether or not we ever work together.
What you walk away with
Hours your team spends on each, per year
low effort to fix
low effort to fix
medium effort
Request your free audit
Two minutes to ask. A founder reads and answers every request within one business day.
How the audit works
A clear, quantified picture of your business, inside a week.
WP-01
We map the work
We start from your business problem: the workflows you run, the tools you run them on, and where the hours go.
WP-02
We find where it pays
The highest-ROI places to apply AI, ranked by what they save you.
WP-03
You get the plan
A prioritized action plan you keep, with clear next steps and no strings.
You receive
The opportunity map, the prioritized roadmap, and the hours and dollars behind every fix.
What we do
We work inside the tools you already have.
We’re fluent across Claude, ChatGPT, Copilot, Azure, and the rest. We don’t push a favorite platform, we build inside whatever your team already runs. Pull a card for where we plug in and what we’d build.
If your team already runs on Claude, we build directly inside it: document review agents, drafting assistants, and research tools that plug into the workspace you have. No new platform to roll out.
Where we advise
When Claude is the right fit for a workflow, how to handle client data and PII before anything sensitive touches it, and where a person still needs to read the output.
▸ A contract review agent that reads inbound agreements and flags non-standard liability clauses before anyone opens the document. A person approves everything it touches.
If your team already runs on ChatGPT or the OpenAI API, we build directly inside it: support drafting, structured data extraction, and custom GPTs people actually use day to day.
Where we advise
Which plan your team needs, what should never get pasted into a public model, and the handful of prompts that cover most of a workday.
▸ An intake assistant that reads inbound client emails, sorts them by urgency, and drafts a first response for a person to review and send.
If your team is already inside the Microsoft ecosystem, we deploy Copilot and build directly on Azure, so AI lives inside the tools you use instead of asking anyone to adopt something new.
Where we advise
What your Microsoft licenses already include, which Copilot features are worth switching on, and when Azure is the right home for something custom.
▸ A Copilot Studio workflow that pulls data across Excel, Teams, and SharePoint and drafts the weekly ops summary that normally eats someone’s afternoon.
Whatever tools your team is already using, most AI projects stall because nobody taught people how to use them well. We run hands-on trainings so the systems we build actually get used.
Where we advise
Which tools are worth training on in the first place, and the ground rules a team needs before AI touches real client work.
▸ A half-day working session that takes a team from "we tried ChatGPT once" to using it every day for first drafts, summaries, and lookups.
Whatever platform it runs on, we build agents that take a defined task end-to-end and complete the whole workflow, with a human checkpoint where it matters.
Where we advise
Where an agent is worth the complexity, where a plain automation does the same job for less, and which decisions should stay with a person.
▸ An inventory agent that watches stock thresholds, drafts reorder requests, and routes them for one-click approval instead of a weekly spreadsheet review.
The tools you already pay for usually do more than your team realizes. When the highest-value fix is plumbing, not a model, we build it: API integrations, data pipelines, and internal tools that connect what you already run.
Where we advise
Whether the connection you need already exists inside the tools you pay for, and when custom plumbing beats buying another subscription.
▸ A dashboard that pulls live numbers from three disconnected systems into one reconciliation view, replacing the end-of-day spreadsheet shuffle.
Who’s behind it
Builders, not analysts.
We’re a two-founder firm in Cincinnati that finds the highest-value uses of AI inside operating businesses, and implements them. Direct, plain-spoken, and measured in hours and dollars. We also run our own company on systems we built: our CRM, our email triage, our meeting debriefs. The first client we automated was us.
Eric
Co-Founder
Eric comes from an engineering background. He builds our systems himself and keeps current on the tools and platforms: what each one is good for, and where it falls short.
Collin
Co-Founder
Collin comes from a finance background. He runs the audit and knows where businesses lose time and money, whatever the industry.
Free audit first. We prove the value before you spend a dollar.
You own everything. Every system we build belongs to you.
Hours and dollars. Outcomes you can measure, not slideware.
Find out where you stand.
Then decide.
The audit is free and the plan is yours. The only thing it costs is the two minutes to ask.
Free · No pitch · A plan you keep