AI strategy, automation, and implementation
We design andimplement custom AIsolutions that drivebusiness results(revenue)
We find the bottleneck costing you the most and remove it. Strategy, automation, integrations, custom builds. Whatever the job takes.
Thirty minutes. You leave with a written plan: your best opportunities, what each is worth, and what it takes. Free, and yours to keep.
The problem
Most owners don't have a growth problem.
They have a time problem.
Of enterprise AI deployments never reach a measurable return.
MIT Project NANDA, 2025The production rate for companies who bring in outside help.
67% partnered vs 33% internalShows up the same way everywhere we open the books
What you get
Every project is measured
on what it earns and
what it frees.
Revenue you
were already earning
Faster replies to inbound. Follow-up that does not depend on memory. A shorter path from first contact to signed work. Most companies lose more to delay than to competition.
Capacity you
did not have to hire
Work that repeats every week moves onto systems that handle it. Your team keeps the judgment, the relationships, and the exceptions.
We set the measure before the work starts, so the result is something you can verify.
How we work
We start with the
constraint, not with
a product.
Nothing to license and nothing to upsell, so the recommendation follows the diagnosis.
STEP 01
A working session on your operation
30 min · freeWhere the time goes, what your team redoes by hand, what you would fix first. You do most of the talking.
STEP 02
A written plan, delivered
free · yours to keepYour opportunities ranked by value against effort, with the reasoning behind the order. Take it to any firm you like.
STEP 03
Scope agreed, then delivered
fixed priceWe define what it does, what it deliberately does not, and the measure that says it worked. Something runs inside two weeks.
STEP 04
Handover, training, review
support optionalEverything is yours and your team is trained on it. These systems drift, so a review catches it before your customers do.
The plan
You leave the first
call with something
usable.
Most firms hold the analysis back until you sign. We hand it over after the first call. If the thinking is good you will want the people who did it.
- 01What your current process costs, measured
- 02Opportunities ranked by value against effort
- 03A sequence, and what each stage depends on
- 04What to leave alone, and why
- 05What your team can run without us
What the process costs today
Measured over four weeksCompeting bids come back within 48 hours. Most of the loss happens before anyone compares price.
Opportunities, ranked
Value against effortOrder follows dependency as well as value. Quoting produces the clean pricing data the follow-up needs.
What delivery takes
Commitments on both sidesIf turnaround does not hold under 24 hours across 30 quotes, the work is not finished.
The firm
Operators who've done
this since before it
had a name.
Engineers, data scientists, and operators who were putting machine learning into production well before it was marketed as AI. Knowing where to point it, and what breaks when you do, is only learned by having been wrong a few times.
We stay selective about what we take on, and bring in the specialists a project calls for. You deal directly with the people doing the work, not an account manager relaying it. The practice is led by John Connor, who has spent fifteen years building and scaling software companies.
Read more about the team →Common questions
Answered plainly.
What does this cost?
The call and the plan cost nothing. Delivery is a fixed price agreed before work begins. If a project is too small to justify the fee, we will say so on the call.
How soon would we see a result?
Weeks, not quarters. We start with one constraint that has a clear before and after, so the work can be judged before anyone commits to more.
Nobody here is technical. Is that a problem?
No, and it is the usual case. You explain how the business runs. We handle the rest, and your team is trained on anything they touch.
Our data is disorganized. Fix that first?
No. Waiting to clean it up is the most common reason projects never start. We scope around what exists and improve the rest along the way.
We bought an AI tool and nobody uses it.
Common, and the tool is usually fine. What is missing is a rule for when to use it and a standard for what good output looks like. Sometimes that is training and a few guardrails rather than anything new, and we would rather tell you than sell you a build.
Is our data safe?
It stays in your accounts. We use providers with no-training agreements, give each system access only to what it needs, and log what it touches. Bring your compliance requirements to the first call.
Who owns what you build?
You do. The accounts, the code, the documentation. Support is available and optional, and nothing is built so that you need us to keep it running.
Start here
The first conversation usually pays for itself.
Thirty minutes on a call, then a written plan. No pitch deck, no discovery invoice, no obligation.