AI for your business
AI for the business you already run.
Not a chatbot on your website. Not a slide deck about the future. Specific work your team does by hand today, done faster and more consistently inside the systems you already have. We help you find the three places to start, prove one of them, and train your people along the way.
Which one is you?
Three kinds of business, three different first steps.
Where you start depends less on your industry than on your size and who looks after your systems.
Owner-led. 10 to 50 people.
No IT department. QuickBooks, email, an industry tool and a few spreadsheets. You have tried ChatGPT and you are not sure what it would do for the business.
Start with: the readiness check, then a two-hour team workshop or one small pilot. Most first projects here cost less than a used truck.
Growing. 50 to 300 people.
An ops lead and maybe one IT person. Six to ten systems that do not talk to each other, and people re-keying data between them.
Start with: a two-week assessment. You get a ranked list of what to automate, what it costs, and what to leave alone.
Established. 300 people and up.
Founded decades ago. An ERP, a CRM, a warehouse or practice system, and the spreadsheets that hold them together. IT, compliance and a board that is asking about AI.
Start with: an assessment with your IT team in the room, and a security review before anyone writes code.
What it does
Six things AI does well inside a business.
None of these need new software for your customers. They sit behind the scenes and take repetitive work off people's desks.
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Reads documents and fills in systems.
Invoices, purchase orders, intake forms and emails read and entered into QuickBooks, your ERP or your CRM, with a person checking the ones it is unsure about.
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Drafts the first version.
Quotes, proposals, job descriptions, customer replies and weekly reports drafted from your own data and templates, for a person to finish.
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Answers questions from your own documents.
Twenty years of contracts, manuals, drawings and policies, searchable in plain English, with the source shown every time.
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Moves data between systems that don't talk.
The glue between the ERP, the spreadsheet and the inbox, without a rip-and-replace.
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Summarizes what happened.
Calls, meetings, support threads and shift notes turned into short summaries and next steps in the system where they belong.
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Flags what needs a human.
The late order, the invoice that doesn't match the PO, the application missing a document. AI sorts; people decide.
How it works
Four steps, each one small enough to say yes to.
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AI readiness check
Nine questions. You get a written brief: where you stand, the three workflows most worth starting with, and what to leave alone.
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AI opportunity assessment
We come in and talk to the people who do the work. We inventory your systems and data, review security constraints with your IT team, and hand you a ranked roadmap with costs.
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Pilot
One workflow, end to end, in your real systems. Guardrails, monitoring, and a person in the loop. You see what it did and what it cost.
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Rollout and support
The next workflows, in order. Training for the people who use them. We stay as long as you want us and you own everything we build.
Training runs alongside any step. See the sessions →
Where AI projects go wrong, and what we do about it.
Most failed AI projects fail for ordinary reasons. The wrong first pick. Data in six places. Nobody owning it after launch. A team that was never asked. We have watched all of these, and the plan is built to avoid them.
The wrong first project
A chatbot nobody asked for, or the hardest workflow in the company. We start with work that is frequent, repetitive, and easy to check.
Data that isn't ready
AI is only as good as what it can see. Part of every assessment is an honest look at where your data lives and what needs cleaning up first.
A team that wasn't included
People resist tools that are done to them. We interview the people who do the work, build with them, and train them before launch.
Your data stays yours. Your IT team stays in charge.
Not used to train anything
We use business API terms with AI providers. Your data isn't used to train models, and we never put company data into consumer chat accounts.
Inside your systems, not around them
We connect to the ERP, CRM and tools you already own with the permissions you already have. No side databases nobody knows about.
Security review before code
A 45-minute call with your IT or security lead before anything is built, and a written data map of what touches what.
You own it
Code, prompts, evaluations and documentation. No licence to Early, no lock-in.
Questions business leaders ask us.
Something else? Book a call and ask.
We're not a tech company. Is this for us?
Yes. Most of our AI work is for companies that make, move, fix or sell things. The question is not whether you are technical. It is whether your team does repetitive work with documents, emails and data. Almost every business does.
What does a first project cost?
The readiness check is free. An assessment is $9,500 for companies under 100 people and $18,500 above that, fixed, and credited against a pilot. Pilots start at $15,000. A team workshop is $2,500.
Will AI replace people on my team?
In our experience it takes the dullest part of a job off a person's desk. The work still needs judgment, relationships and someone who answers the phone. We design every workflow with a person in the loop, and we say so to your team.
Our data is a mess. Should we fix that first?
Usually you fix the part that matters for the first workflow, not all of it. The assessment tells you which part.
We're in a regulated industry.
Healthcare, finance, government contracting and the like all have paths. Some constrain which providers and regions we can use; a few rule out certain workflows. We map this before anything is built. See the security page.
Our people are already using ChatGPT on their own.
That is the most common starting point we see, and it is a risk until there is a policy and approved tools. The leaders session covers writing a policy in an afternoon.
Can't we just buy a tool?
Sometimes, and we will tell you when. Off-the-shelf tools are great for general work like writing and summarizing. The gaps are in your specific workflows and the systems they touch. That is where custom work pays off.
How do you charge?
Fixed price for the assessment and the pilot. Month to month after that. You will not get an invoice you didn't expect.
When you're ready to build
Where we are
Built in Kansas City. Trusted everywhere.
Early Software Studio is headquartered at 43 Kansas Ave, Kansas City, KS 66105. We work with founders and businesses across the United States — remote-first, with a working demo every week whether you're across town or across the country.
Whether you're local to Kansas City or building from New York, Austin or Denver, you get the same senior team, the same fixed price and the same Friday demo.
Let's start early.
Thirty minutes. Tell us what your team does by hand and which systems it lives in. We'll give you an honest read on what AI would do there, what it would cost, and whether it is worth doing yet.
Not ready to talk? Take the 5-minute readiness check