Skip to content
splice

Agents

Agents we've already built (and run ourselves)

AI agents for small business, proven on ours. Each one runs at Monarch Connected every day before it runs for anyone else.

The roster

Three agents, three jobs.

Nico: after-hours answering

Answers as your receptionist, holds a real conversation, then writes up the call and hands it to your team with a recording.

Live on real calls

Finance agent: invoices sent, followed up and collected

Watches for a closed deal, creates the purchase order and invoice in QuickBooks, sends the BILL payment link, and follows up until it's paid. A person approves each send.

Runs at Monarch Connected

Email agent: persistent follow-up and appointment setting

Follows up with leads and customers until there's an answer, books the meeting, and logs it. Escalates to a person the moment a reply needs one.

Runs at Monarch Connected

How they're built

Four rules every Splice agent follows

One job each

An agent that does one thing well is easier to trust, test and switch off than a platform that does everything badly.

Finishes inside your systems

The call becomes a card in Slack. The closed deal becomes an invoice in QuickBooks. Nothing lands in a dashboard you have to go and check.

A person approves

Customer-facing and financial actions wait for a click until you say otherwise. Every action is logged with what the agent saw and why it acted.

We run them

Hosting, monitoring, model updates, and a person on our side reading the logs. A flat monthly fee, cancel any time.

Questions we get asked

What is an AI agent, in plain terms?

Software that uses a language model to read something that arrives (a call, an email, a document, a record), decides what to do, and does it in your systems. A chatbot answers questions. An agent finishes a job.

Are these AI agents for small business, or enterprise tools scaled down?

They were built for a 30-person company that runs on Salesforce, QuickBooks, BILL and Slack. That's the business they fit.

Can I buy one agent, or is it a platform?

One agent. Start with the job that hurts most. Add another when the first one has earned it.

What happens when an agent gets something wrong?

It's caught at the approval step, and the log shows exactly what it read and why it acted. We fix the rule, add a test, and the fix ships to every customer running that agent.

Want one of these on your systems?

Tell us which job. We'll tell you what it would take to run it for you.