How We Operate
- Support, not replace. We don't build AI to cut your headcount. We build it so the people you already have get more done.
- Human in the loop. A person reviews, decides, and can always override.
- Tools, not slides. We work with your team to ship working software into production, not a deck about what could run.
- Competency stays with you. Training is core to the engagement, not an afterthought, so capability stays with your team when we leave.
Who This Is For
We work best with established operators (30+ employees), not pre-revenue teams testing whether AI is real. If a few hours a week are leaking into manual work no one's proud of, that's usually where we start.
It's a way to get your best people off busywork and back on what moves revenue.
How An Engagement Starts
Office Hours Free
We hear what's slowing your team down and tell you honestly whether there's something here. We'll mostly be asking questions and pointing you to a few resources.
AI Ops Audit $16,000 (free if we don't find $50k+)
A two-week engagement: one week of prep, then a day and a half on-site with your team. One of our partners runs it directly, not a junior team. We map your operations across departments and leave with a scoped menu of real, costed projects. We only charge if we find $50,000 or more in quantified opportunity. Otherwise, it's free.
What actually happens on-site?
It's not a seminar. By the time we're in your office, we've already read your workflow docs and lined up who we need in the room. On-site, we sit with your team while they work: real tickets, real calls, real spreadsheets, not a walkthrough on a whiteboard. We're watching for the manual re-keying, the "let me check with someone," the same judgment call ten different people make ten different ways a week.
What do we walk away with?
A written memo, capped at 8 pages, with 3 to 5 specific opportunities. Each one gets a dollar estimate, a build estimate, and an honest call on whether it even needs a model or just better plumbing. No 40-slide deck, no generic "AI could help you" line. It's your workflow, your numbers, your team's names.
Projects Priced individually
You pick what's worth building. Most run 4 to 12 weeks, fixed price, and you own everything we ship.
Field Notes
Real engagements, real numbers.
A hand-built Excel schedule became a tool the operator runs herself
A 50-person managed services provider was coordinating 103 clients and 8 technicians by hand every month. We built a deterministic constraint solver first, covering drive radius, cadence, and PTO. Then we layered in an LLM for judgment calls on conflicts. The result is a browser tool with a drag-to-reschedule calendar and a "confirm manual move" flag on every override.
35 → <3 hrs/month operator time · 400+ hrs saved annually
Underwriting answers went from hallucinated to cited
An insurance agency's underwriting judgment lived in OneNote fragments, one person's head, and carrier PDFs. Even their own Copilot Studio build hallucinated with the source loaded. We built a deterministic extraction pipeline instead. Every PDF becomes cited rules a human reviews. We shipped it as a Teams bot that says "I don't know" when the source is silent.
7,000+ rules extracted · 112 carriers covered
Bug reports go from ticket to reviewed PR before an engineer looks up
We run EntryThingy, a 20-year-old platform, ourselves. A chained agent pipeline now investigates, proposes, and implements fixes for reported bugs. A human still gates every deploy. We built this for ourselves before we sold it to anyone.
Days → minutes, ticket to pending fix
Client identities anonymized by agreement. Ask in office hours for the fuller writeups.
Which are you?
Most businesses we talk to are somewhere in the first two.
- Thought partner. Use AI to ask questions, not connected to any systems. Someone pastes data into ChatGPT and copies the answer back by hand.
- Assistant. Tools are genuinely wired into your internal systems and data. It reads your source documents and cites the rule, instead of guessing.
- Teammate. AI runs recurring workflows on its own, reviewed at defined checkpoints. It drafts the fix. A human still approves the deploy.
- The system. High-impact, complex workflows run end to end and improve over time. Rare, and usually the last stage we reach with a client, not the first.
Is This a Fit?
Is this actually reliable enough for production?
That's why we default to deterministic logic (rules, solvers, structured pipelines) wherever a task allows, and bring in a model only where real judgment is needed. Nothing ships without a human review gate.
How do we know this will actually pay off?
That's what the Audit is for. It only converts to a paid engagement if we find real, quantified opportunity first. And most of the return shows up on a lag: hours reclaimed this quarter tend to show up as growth next quarter, not an immediate line item. We'll help you track it either way.
Do we need to already be using AI?
No. Most businesses we talk to are still at "thought partner": people using AI on their own, with nothing connected to their systems yet.
What if the Audit doesn't find enough?
Then it's free. We only convert to a paid engagement if we find real, actionable opportunity. The risk is on us, not you.
We have under 30 employees. Can we still talk?
Most of what we build assumes an operation with enough process and volume for automation to matter. Smaller teams tend not to have enough process, but there are exceptions. Office hours are still free if you want an honest read.
Do you require a retainer or long-term contract?
No. Projects are priced individually. Retainers are optional. They buy a guaranteed turnaround window, not a repeating commitment.
How fast can we start?
As fast as your calendar allows. There's no queue or onboarding process on our side. Office hours can happen this week.
Who's Behind This
Harrison Roday, business operations, finance, and deal execution.
Colin Burns, public markets and capital allocation.
Justin Duke, software engineering and SaaS.
Myles Marino, early-stage operations.
Our best engagements start with a conversation