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Custom AI solutions for the systems you already run

Off-the-shelf AI tools stop at the edge of your business. A custom AI solution starts from your data, your accounts and your process, and finishes the job inside them.

Who this is for

  • Businesses whose workflow doesn't fit a template: custom quotes, multi-step approvals, odd file formats
  • Companies that have outgrown Zapier-style automations that break silently
  • Operators who want an agent that reads, decides and acts, not a chatbot that answers questions
  • Anyone who has been quoted enterprise custom AI development prices for a small-business problem

What custom AI development looks like at Splice

A custom AI solution is not a model trained from scratch. It's an agent: software that uses a language model to read what arrives (a call, an email, a PDF, a Salesforce record), decides what to do, and then does it in your systems through their real APIs.

We write the agent, the connectors, the approval flow, the logging and the tests. You get working software, not a prototype.

  • Connectors to Salesforce, QuickBooks Online, BILL, Stripe, Airtable, Gmail, Slack and Twilio
  • An approval step in Slack or email before anything customer-facing or financial happens
  • Logs and an audit trail for every action the agent takes
  • A test suite, so changes don't break the thing that pays your bills

Three shapes of custom AI solution for business

Almost every custom build we've done falls into one of three shapes.

  • Voice: an agent that answers the phone as your receptionist, holds a real conversation, and writes up what happened. This is Nico.
  • Finance: an agent that watches for a closed deal, creates the purchase order and invoice, sends the payment link, and follows up until it's paid. Monarch runs this one every day.
  • Documents and data: an agent that reads PDFs, emails and forms and enters the data into the system that should have it, with a person checking the exceptions.

Why a custom AI development company should run its own agents

Every agent we sell runs first at Monarch Connected, our parent company. That means we've already found the ways it fails: the customer who calls back three times, the invoice that syncs late, the PDF that is a photo of a PDF. You inherit the fixes.

It also means we're not learning your industry's problems on your budget.

Build, then run

We can hand over the code and walk away, but most customers prefer that we run it. Running means hosting, monitoring, reading the logs, updating models when providers change them, and a person on our side who owns the outcome.

It's a monthly fee, and you can cancel.

Questions we get asked

Do you train models on our data?

No. We use hosted models from providers like OpenAI and Anthropic through their APIs, with your data staying in your accounts. What's custom is the agent: the instructions, the connectors, the approval rules and the tests.

How long does a custom AI solution take to build?

A first agent on one or two systems is typically two to six weeks. The connectors are the work; the model is the easy part.

Who owns the code?

You do. If you stop working with us, you keep the agent and its documentation.

What if the model provider changes or a system's API breaks?

That's what the run fee covers. We monitor, we get paged, and we fix it. That's the difference between an agent and a demo.

Can you work with a system that isn't on your list?

Usually. If it has an API or a reliable export, we can connect it. If it doesn't, we'll say so in the first call.

Tell us the job that keeps eating your week.

Thirty minutes. We'll tell you whether an agent can take it, what it would touch, and what it would cost. No deck.