Independent technology strategy for enterprise car wash.
We help enterprise car wash operators make better technology decisions by starting with the operation, not the software.
The bigger the operation, the more expensive the wrong technology decision becomes.
Scale compounds all of it: software cost, integration complexity, migration risk, and the operational consequences of getting it wrong. A workaround at three sites is an annoyance; at a hundred it’s a line item.
The calls also get less reversible — migrate or stay, buy or build, consolidate or integrate — and they’re usually made from vendor material rather than from the operation the technology has to live inside.
Technology works inside an operating system — people, workflow, management, capacity.
Which is why the best software on paper can still be the wrong answer. Buy, build, integrate, replace, pilot — or leave it alone — only becomes a real choice once you understand the workflows, the people, and the workarounds already there.
We don’t sell software. We help you decide what to buy, build, or leave alone.
No commissions. No reseller agreements. No preferred vendors.
Ninety days to a decision you can defend.
POS Decision & Migration Readiness
Get clear on what you need, how the options really compare, and what has to be true before you migrate.
For operators changing platforms, consolidating, or preparing an estate for a migration that can’t go badly.
Talk about a POS decision →You end with requirements, an independent comparison, implementation and support diligence, a readiness and risk picture, a pilot design, and a decision framework. We don’t pick your winner, and we’re not paid by whoever wins.
Enterprise Tech Stack Review
Keep, replace, consolidate, integrate — decided on purpose instead of by inheritance.
For stacks that have become expensive, fragmented, or hard to scale. We map what you own, what overlaps, what it costs, and where it will break at the next size.
You end withAI Readiness
AI readiness starts with making your business legible to AI.
Most operators aren’t blocked on AI ideas — they’re blocked on data that’s trapped, disconnected, or not trusted. We map where your data lives, what can be connected, and which use cases are actually worth pursuing.
You end withBuild-vs-Buy Sprint
Before anyone asks what to build, the question is whether this should be built at all.
One specific problem, weighed honestly: what already exists, what integration would take, whether AI-assisted development changes the economics — and whether you’re buying access to software or owning the IP behind it.
You end withHave a different technology problem? Some engagements are structured. Others start with a problem and a conversation.
Bring us the problem →Most technology decisions start in demos and decks. We start in the field.
Find the friction. Find the leverage. Build what works.
We start with your operation — workflows, people, systems, and friction — before recommending a technology path. We don’t start with recommendations. We start with reality.
Go to the operation. Talk to the people. Understand the system. Then decide.
We research what’s changing. And occasionally build what’s missing.
IgniteDrive studies the car wash technology market through field research, product evaluation, operator conversations, and ongoing experimentation.
Sometimes the research points to something that should exist. When it does, we build.
Sentinel
Car wash market intelligence.A continuously updated view of operators, locations, technology, market movement, and industry signals.
Coming soon →Your operation gives us depth. The industry gives us context.
Bring us a technology problem.
Most of these start as a sentence someone says out loud in a leadership meeting.
“We’re thinking about changing POS.”
Requirements from the workflow up, an honest comparison, and what migration will really take.
“Our tech stack has become too expensive.”
What you own, what overlaps, what nobody uses, and which gaps are worth paying to close.
“We don’t trust what we’re hearing in demos.”
Diligence on what vendors don’t lead with: implementation, support, data, and your edge cases.
“We’re growing fast and our systems may not scale.”
What breaks between 20 and 100 locations, and what the stack has to look like before you get there.
“We want to use AI but don’t know where it creates leverage.”
One use case, one bounded environment, one honest read on whether it produced value.
“We think we need a technology leader — but what should that role own?”
What the work really is, what should be internal, and what shouldn’t be hired for at all.
When the problem isn’t technology, it’s usually growth or execution.
The same field-first approach on the operating side. Technology is the primary work.
Sales & Conversion Improvement
Frontline selling, offer strategy, coaching, incentives, and the measurement behind conversion.
Membership Retention Improvement
Voluntary churn, usage behavior, the save and cancellation experience, and how LTV is measured.
Customer Experience Improvement
The real journey through the site: employee interaction, service friction, recovery, and consistency.
Kyle Doyle
inConnect on LinkedIn →Kyle understands both the technology and the operation it has to live inside.
He has built the software, sold it, implemented it, and lived with it on a driveway. That’s why the advice starts in the field — and why it tends to hold up there.
From the field notes.
Everything we publish comes out of the work: site visits, operator and vendor conversations, and original data studies.
The Car Wash Industry Isn’t Behind—We’re Thinking About It Wrong
Why “ten years behind” misreads the moment — and the three frictions actually at play.
8 min read · Read →
Do Rejection Streaks Hurt Sales Performance?
Rejection fatigue is a myth — the real streak effect runs the other way.
5 min read · Read →
Sales Performance Is a System Problem—Not a Talent Problem
The best teams aren’t better at selling — they’re better at running a system.
8 min read · Read →What’s the technology decision in front of you?
You don’t need a defined scope. Most conversations start with a decision leadership can feel coming — a platform question, a cost that keeps growing, a migration nobody wants to get wrong.
First call is a conversation, not a pitch. If a program isn’t the right next step, we’ll say so.