AI & Custom Software Development
Practical AI and custom software for businesses that already know what problem they want solved. Built to run in production, not to demo well.
Most businesses do not need an AI strategy. They need one specific, repetitive, expensive task to stop consuming a person’s week.
That is the work we take on: practical systems that solve a defined problem and keep running afterwards, without a consulting engagement to discover what the problem is.
What this looks like in practice
Document and data extraction. Invoices, forms, contracts, reports — pulling structured data out of unstructured documents so nobody retypes them. This is the highest-return category for most small businesses, and the easiest to measure.
Internal tools. The spreadsheet that outgrew itself and now runs a core part of your operation, with three people editing it and no history of who changed what. Turning it into something with proper access control and an audit trail.
Integration between systems. Two pieces of software that both hold customer data and do not talk to each other, so someone maintains both by hand. This is unglamorous work with an immediate payback.
Assistants over your own knowledge. A system that answers questions from your documentation, policies or historical records, with citations back to the source, so answers can be checked rather than trusted blindly.
Workflow automation. The sequence of steps that happens every time a new client is onboarded, and depends on someone remembering all of them.
How we work
Start with the cost, not the technology. The first question is what the current process costs in hours per week. If we cannot answer that, we do not have a project yet — we have an idea.
Smallest useful thing first. A narrow version that solves one real case, in production, in weeks. You find out whether it is valuable before committing to the full build.
Built to be maintained. Documented, with the code and infrastructure in accounts you own. If you stop working with us, everything keeps running and someone else can pick it up. Handover should never be a negotiation.
Honest about limits. Language models are unreliable in specific, predictable ways. We design for that — validation, human review where the cost of an error is high, and a clear boundary around what the system decides versus what it recommends. Anyone promising accuracy without that boundary is selling a demo.
Where AI is the wrong answer
Worth saying plainly, because it comes up often.
If the process is fully deterministic — the same input should always give the same output, with clear rules — conventional software is cheaper, faster and more reliable. If the data is a mess, fix the data first, because a model trained or prompted on inconsistent records produces confident nonsense. If nobody can articulate what a correct answer looks like, no system can be evaluated.
We would rather tell you that in the first conversation than take the project.
Not a local service
Unlike our IT support, which is built around being able to reach you within 20 miles, development work is not geographic. We work with clients anywhere, remotely.
Related
- Managed IT support — if you also need someone keeping the lights on
- Remote IT support
Frequently asked questions
- Do we need to know what we want before contacting you?
- It helps to know the problem, not the solution. ‘Our team spends six hours a week copying data between two systems’ is a perfect starting point. ‘We need an AI strategy’ is not, and we will spend the first conversation turning it into something concrete.
- What does a project cost?
- Small automations that remove a recurring manual task typically land in the low thousands. A custom internal tool or a system integration is usually a multi-week engagement. We scope in stages so you can stop after the first one if the value is not there.
- Will this replace our staff?
- In the work we do, almost never. The projects that succeed remove the tedious part of a job — the copying, the retyping, the reconciling — so the people doing it spend their time on the part that needs judgement. Projects that aim to remove people tend to fail for reasons that are more about process than technology.
- Is our data used to train anyone's model?
- Not without you deciding so explicitly. We use commercial API tiers that exclude your data from training by default, and where the data is sensitive we can run models that never leave infrastructure you control. This is a design decision made at the start, not an afterthought.
- Do you work with clients outside Boston?
- Yes. Unlike our IT support, development work is not geographically limited. We work remotely with clients anywhere.
Tell us what stopped working
Text or email is usually faster than a call. We serve Boston and everything within 20 miles — and remote support has no radius.