Kevin
Has led software teams at Amazon for nine years and moved them to working with AI every day. Has looked after the same clients' software for fifteen years.
You know you should be using AI. We'll show you where to start.
We find the few tasks where AI will actually save your team time, build them into the systems your business already runs on, and keep it all running.
Two partners in Portland, Oregon.
If this sounds like you
- Everyone keeps telling me we need to be using AI.
- We tried it. It was interesting, but it never connected to anything we actually use.
- I can’t tell what’s real and what’s hype.
- My team is stretched. I can’t run an experiment on them.
- I don’t know where our data would end up.
You don’t need to understand AI. You need to know what your team spends its time on. We’ll take it from there.
What using AI actually means
AI’s most useful job: turning the mess into data.
Every business runs on information no system can use: web pages, PDFs, emails, someone else’s schedule. AI can turn it into clean records your systems act on.
InA supplier’s price page, a vendor portal, a county permit list.
OutEvery item as a row, with its date, price and source.
UnlocksYour system knows the moment something changes, and nobody copies it by hand.
Already running in Crosscheck
We do this in Crosscheck. It reads game schedules straight off league websites and keeps every team’s calendar current.
Not a chatbot over your files. A new source of clean data for your business.
The part most AI advice skips.
Most AI is a tool your team has to remember to open. It can’t see your customers or your orders, and it can’t put anything back. So it stays a novelty.
Wired into the systems you already run, it’s just another part of the machine.
Turns the mess into a clean record.
Works with what you already run
Keep your system. Add what’s missing.
Most businesses don’t need a migration. They need the system they already trust to do more.
An old Access-style order form, Orders.mdb, unchanged. Around it: AI that enters new orders from email, an alert, a report, a phone screen, and a connection to Shopify.
What we add
The systems our customers run
- QuickBooks Desktop
- Microsoft Access
- Excel on a shared drive
- FileMaker
- SQL Server
- IBM i (AS/400)
- Sage 100
- Dynamics GP
- Outlook and Exchange
- Old PHP and WordPress sites
- FTP file drops
- The custom app nobody documented
The modern tools we connect them to
- PostHog
- Sentry
- Datadog
- Grafana
- AWS
- Google Cloud
- Postgres
- Stripe
- Shopify
- HubSpot
- Salesforce
- Slack
- Twilio
- OpenAI
- Anthropic
No big switch-over.No retraining everyone.Your data stays where it is.
How it works
1Find where to start.
About a week with you and your team.
- We watch how the work really gets done
- You get a short report: what to do first, and why
- The report is yours, whoever builds it
2Build it into your systems.
Any stack. Old or new.
- Old databases, spreadsheets, the newest cloud tools
- 30+ years between us building business software
- We fix what’s underneath if it needs it
- Runs alongside your team until you’re happy
3Keep it running, and current.
We look after it, and everything around it.
- We track what’s new in AI and bring you what’s worth doing
- Older parts get updated a piece at a time
- Clear rules, everything logged, an off switch
Then the next task, if the first one earned it.
Start with one task. Keep going if it earns it.
One task.
One dull job stops needing a person.
A working system.
The next tasks build on the same connections, so each one starts from what is already in place.
Your software, looked after.
We look after the whole stack: database, apps, connections, hosting. One team to call.
Some clients have had us look after their software for more than a decade.
For 15 years, Kevin [Landersweb] has been our primary programmer, adeptly adapting to evolving technology. His keen business acumen keeps our automated operations efficient, and his prompt responsiveness to our change requests continually positions our company ahead in innovation.
Michelle LaBrosseCEO, Cheetah Learning15 yearsKevin [Landersweb] and his team provide outstanding support, ensuring quick responses to urgent web hosting issues. I've worked with them for over 10 years and highly recommend their service. Their reliability and responsiveness make them an invaluable partner in critical situations.
Katie DunnPresident, ETSI10+ yearsKevin [Landersweb] did excellent web design and development work for us on multiple occasions in a short period of time and at a very reasonable cost. He is smart and professional and I would give him a high recommendation.
Dominic DobsonFounder, VR Motion Corp.Why us
years building and running business software, between us
years with our longest-standing client
partners, one team to call
Jake
Builds core infrastructure for leaders in the cloud world.
Runs software where AI finds and fixes problems on its own, under tests and checks, every day.
We run our own products
Crosscheck, our team management app, reads schedules from league websites automatically, so managers no longer type them in.
Questions
Do I need to understand AI first?
No. You need to know what your team spends its time on.
Will it replace my staff?
No. It takes over retyping and looking things up. Your people make the decisions.
What if it gets something wrong?
It starts by running alongside your team, and we compare its work with theirs before it is used. After that, anything that matters still needs a person’s approval.
Where does our data go?
We agree that in writing before any work starts. Nothing is sent to a service you haven’t approved.
Our software is old. Does that matter?
No. We have looked after older systems for years. We work with what you have, and we fix what needs fixing first.
Do you only do AI?
No. AI is usually where people start with us. We also build and look after the software around it: databases, apps, connections between systems, and hosting.
What happens after the first task?
If it earned its keep, we pick the next one from the report. Some clients have had us look after their software for more than a decade.
What if the report says AI isn’t worth it for us?
Then it says so, and you have saved yourself an expensive mistake.
Find out where to start.
Tell us what your business does and what's eating your team's time. Both partners read every enquiry.