Quoting is slow, and slow loses
Every estimate means digging through old emails, retyping line items, and re-checking pricing. By the time it goes out, the competing quotes are already sitting in your customer's inbox.
AI FOR OWNER-RUN BUSINESSES · BUILT AND RUN FOR YOU
AI that actually gets used.
The path out of the busywork, and into the work that matters.
We sit with your team for two weeks, find the three places AI will save real hours, then build and run the workflows for you. And we stay on to make sure it all sticks.
The busywork
Where the hours go
You already know where AI should help. You just don't have the time to figure out how.
The business runs on what is in people's heads
Every process lives with the person who has always done it. New hires learn by shadowing, senior people lose weeks training them, and you're one resignation away from a gap nobody can fill.
Leads leak between the cracks
An inquiry comes in by phone, gets passed to email, lands in a calendar invite, and never makes it into the CRM. By Friday nobody's sure what's really in the pipeline.
The path out, in three steps
Discovery, Development, Adoption. One engagement.
2 weeks
Discovery
We sit with your team, map every process, and surface the three to five places AI will save the most hours. You walk away with an AI Opportunity Assessment: a short, plain-English writeup you can read in a sitting and hand to your team. We keep it tight on purpose, so nothing important gets buried.
You get: a ranked list of opportunities, a recommended first build, a recorded readout.
4 to 8 weeks
Development
We build the workflows on infrastructure we own and operate. No new software subscriptions for you to manage. No login for your team to forget. The AI shows up where your team already works: email, your CRM, the tools you pay for today.
You get: live workflows running in your tools, documentation, a video walkthrough.
Ongoing
Adoption
Most AI projects fail the same way: the tool works, and nobody uses it. We stay on to train your team, watch what's running, and keep refining as your business changes.
You get: a monthly check-in, ongoing tuning, a real person to call when something breaks.
Most agencies hand the system over and disappear. We stay, because adoption is where AI projects live or die.
What this looks like in a real business
For one regional auction house, we mapped 11 weekly processes. Three needed AI. Here's one of them, up close.
FIELD NOTES · A REGIONAL AUCTION HOUSE
Every item that crosses the block needs a written description: what it is, what condition it is in, why a bidder should care. At this auction house, a sale can run to hundreds of lots, and every description was typed by hand from photos and intake notes. Around twenty minutes per lot, lot after lot. Cataloging was the bottleneck between items arriving and a sale going live.
So here's what we build for a job like this. A workflow reads the photos and the intake notes, then writes the first draft of each description in the house style. The cataloger reads it, fixes what needs fixing, and approves it. The typing drops out of the job. The person who knows the inventory still owns every word that goes out.
Nobody's job changes shape. The same person catalogs the same items, minus most of the keyboard time. Sales get listed sooner, and the team's attention goes to the lots that need real expertise. That's the shape of everything we build: the person keeps the judgment, the machine does the typing.
What comes in
intake note: oak sideboard, mid-century, brass pulls, small scratch on left door, estate intake, lot 214
First draft, written by the workflow
Mid-century oak sideboard with original brass pulls, circa 1960s. Three drawers over two lower doors, clean joinery, warm original finish. Light wear consistent with age, including a small scratch on the left door. From a local estate. A solid, usable example of mid-century casework.
Then a person reads it, fixes it, and approves it.
Staged illustration of the drafting step. Not a live system, and not client data.
How TPO thinks about AI for the businesses people run
Most AI projects fail at adoption, not technology. That's the problem TPO was built to solve.
TPO was built on a simple observation: most businesses like yours don't have an AI strategy problem. They have a clarity problem (where would it help?) and an adoption problem (will anyone use it?). The tooling is the easy part.
That's why TPO sells one continuous engagement, Discovery into Development into Adoption, instead of a one-off project. And it's why TPO operates the system after launch instead of handing it off. The handoff is where good intentions go to gather dust.
The work is deliberately operator-shaped, not consultant-shaped. We sit inside your business for two weeks. We build on infrastructure we maintain. And we stay on until your team is using what we built.
Adoption is the deliverable.
If your team isn't using it in 90 days, we haven't shipped.
We run it. You use it.
No new software to manage. The AI shows up inside the tools your team already uses.
Plain English, always.
If a workflow can't be explained to a new hire in one sentence, it's the wrong workflow.
Questions we get every week
How we're different, asked five ways.
What does this cost?
Discovery is a fixed-price two-week engagement. Development and Adoption run on a monthly retainer scoped to your business. We walk through pricing on the 30-minute call so we can quote against what you need, with no list-price-then-upsell.
Who owns the AI you build?
We do, and that's deliberate. We host and operate the system on infrastructure we own. You get the value through tools you already use (email, your CRM, your shared drive) without taking on new software to manage. If you ever want to take it in-house, we'll quote that handoff separately.
What if my team doesn't actually use what you build?
That's the number one failure mode in this category, and the reason we charge a monthly retainer instead of disappearing after launch. Adoption training, monitoring, and refinement are built into the engagement. If the team isn't using it after 90 days, that's on us.
Do I need to know anything about AI to work with you?
No. The whole point of Discovery is that we figure out where AI fits in your business. You don't have to come in with a theory. We translate.
What if I'm not sure I have anything worth automating?
That's also useful information. The Discovery readout will tell you that honestly. We've turned down work where the leverage wasn't there. Better to know in two weeks than after a six-month build.
Two weeks. One conversation to start.
Book a free 30-minute call. We'll ask about your business, you'll ask about how this works, and by the end you'll know whether a Discovery makes sense for you.
Book a 30-minute call