Off-the-shelf AI tools stop where your data and your rules begin. Custom development starts there.
Book a 15-Min Chat →Software that takes a goal, uses tools like your CRM, calendar, and email, and finishes the job inside limits you set.
Customer and staff assistants that answer from your real documents and policies, not from the open internet.
Intake, routing, follow-up, summaries, and reports that run on their own and hand exceptions to a human.
First drafts, summaries, and checklists from your own templates, with a person signing off before anything leaves.
The plumbing between the AI and the tools you already pay for: CRM, phones, calendar, billing, spreadsheets.
A repeatable test that shows the output is right, and caps that stop a runaway bill.
Buy a tool when a tool already does the job. Build custom when one of these is true:
If none of those are true, we will tell you to buy the tool. We say so on the first call; it is cheaper for everyone.
We map the workflow, the data it needs, the rules it must follow, and the before number we will measure against.
We build on the model that fits, connect your data, and write the tests. You see working output in the first month, not at the end.
Guardrails on what the AI can touch, spend limits, and a review step for anything that leaves the building.
Plain-language documentation, training for a named owner on your team, and the accounts in your name.
The agent patterns we use are the ones described in Anthropic's guide to building effective agents, linked below: simple, composable, and testable before they are clever.
Every build is checked against the OWASP Top 10 for large language model applications, the industry list of the ways AI systems get attacked, and the review steps follow the NIST AI Risk Management Framework. Three rules never bend:
We keep systems model-agnostic so you can move between Claude, ChatGPT, and Gemini as prices and capabilities change. More on that in our model-agnostic AI strategy guide.
Our engagements run between $2,000 and $15,000 per month, billed monthly, not by the hour. The first phase is 60 to 120 days and you should see a working, measured system inside the first month. Full detail on what moves the price is on our AI implementation services page.
Two things move the price on a custom build: how many systems the AI must connect to, and how much testing the workflow needs before a person can trust it. A chatbot over your documents is the low end. An agent that touches money is the high end.
Running cost is separate and we cap it. The habits are in Controlling AI Token Spend and How to Evaluate AI Agents.
It builds AI software for your specific business: agents, chatbots, and automations connected to your data and tools, with rules and tests, and hands it over so your team can run it. That is different from selling a subscription to a general tool.
Our engagements run $2,000 to $15,000 per month. A chatbot over your own documents sits at the low end. An agent that connects to several systems and touches money sits at the high end. Running costs are capped separately.
The first working version lands inside the first month. The first phase, where the agent is built, tested, and handed over, takes 60 to 120 days depending on how many systems it connects to.
No. We build it, document it in plain language, and train one owner on your team. If you later hire a developer, the code and accounts are already yours.
Claude, ChatGPT, and Gemini, chosen per workflow. We keep the build model-agnostic so you can switch when prices or capabilities change.
Only with rules and tests. Ours answer from your approved documents, refuse what they are not allowed to discuss, and hand off to a person on the topics you name. We test against the OWASP LLM Top 10 before launch.
You do. Accounts, code, documentation, and data are in your name when the engagement ends.
In 15 minutes we will tell you whether to build or buy, what it would cost, and how you would know it works.
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