AI automation · AI agents
Custom AI agents that do real work inside your tools: answer and qualify new leads, book meetings, follow up, update your CRM and draft replies for your team to approve. Built around your rules, running in accounts you own.
A chatbot answers questions. An agent reads the request, checks your calendar or CRM, takes the next step and hands the conversation to a person when it should. That is where the hours come back.
Agents built for the repetitive first steps that slow small teams down.
Answers new leads from your site, ads or SMS, asks qualifying questions and books the meeting.
Finds open times, books into your calendar and sends reminders so fewer people miss the call.
Logs every conversation, updates deal stages and creates follow-up tasks automatically.
Reads forms, emails and attachments and turns them into clean records your team can act on.
Follows up with leads who went quiet, on a schedule you approve.
Clear limits, a hand-off to a person and a log of every action for review.
How we work
From idea to a working agent
A call to pick one task with clear rules and enough volume to pay back.
What the agent may do, what it must hand off and which tools it connects to.
Built in your accounts and tested on real past conversations before customers see it.
We launch, watch the logs and adjust the rules as real cases come in.
Want to see how the running costs work first? Read what an AI agent costs and why speed to lead matters.
FAQs
Software that reads a request, decides what to do and takes action in your tools: it can answer a lead, check your calendar, book a call, update your CRM or draft a reply for a person to approve. A chatbot only answers; an agent also acts.
Reply to new leads in minutes, ask qualifying questions, book meetings into your calendar, follow up with people who went quiet and log everything in your CRM. Pricing, contracts and promises stay with your sales team.
We do not build them for that. Agents take the repetitive first steps, such as intake, routing, reminders and data entry, so your team spends its time on the conversations that need a person.
n8n, Make or Zapier for the workflow, and OpenAI, Anthropic or Google models for the language work, chosen by what your use case needs and what it costs to run. Everything runs in accounts in your name.
It has a one-time build cost and a monthly running cost for model usage and platforms. We quote both in writing, in US dollars, before any work starts. See our guide to what an AI agent costs.
Clear rules for what it may and may not do, a hand-off to a person for anything outside those rules, testing on real past conversations before launch, and logs you can review.
Tell us where your team repeats the same steps. We will tell you what an agent can handle and send a written quote in US dollars.
Get a free quote