AI that does a job, not AI that does a demo.
The question isn't what artificial intelligence can do. It's which part of your operation is sitting in a queue waiting for a person to read it, classify it or type it in — and whether a machine can do that better than your team's time.
What's the difference between an AI agent and a chatbot?
A chatbot answers questions. An agent does things: queries your system, creates a record, books an appointment, escalates to a person when it doesn't know.
The practical difference is who finishes the work. With a chatbot, the customer gets an answer and someone on your team still has to act. With an agent, the job is done.
What do you build?
Support agents that resolve a request end to end — order status, booking, quoting, filing a report — wired into your systems, not reading from a script.
Chatbots trained on your documents. Your manuals, policies and catalogs turned into something that answers precisely and cites where the answer came from.
CRM integrations so what happens in a conversation lands in HubSpot, Salesforce or Pipedrive without anyone retyping it.
Classification and routing for tickets, claims and requests a person reads today just to decide who gets them.
How do you keep it from being a nice demo?
Three rules we apply every time:
Start with the problem, not the model. If we can't name how many hours or how much money it costs today, there's no project.
Define the measurement before building. Which number changes and where the data comes from, agreed up front.
Ship it with a human on top. For the first few weeks someone reviews what the AI did. The review gets switched off when the numbers justify it, not when the meeting gets tired of it.
What happens to our data?
We don't train public models on your information. What we build uses your documents and data at answer time, not to feed anyone.
If your sector requires it, the architecture can stay inside your own infrastructure. That gets settled in the diagnostic, before anything is built.
What does it cost?
Most of these start with the $1,200 diagnostic, which maps the process and says what's worth automating. The build is quoted after that, once we know how many systems are involved.
Keeping it alive is part of monthly custody: the Operations tier is $1,900 and covers up to three monitored automations.
Which part of your operation is waiting on a person?
Tell us in 30 minutes. If AI isn't the answer, we'll say so.