AI agents & automation that save you workAI agents & automation

Agents and automated processes that do the repetitive work, so you can get on with the business.AI agents connected to your internal tools and data: retrieval over company documents and data (RAG), natural-language questions over the data warehouse, and automated processes. Built on Google Cloud, with evaluation, logging and cost limits.

Let's get your business in orderLet's talk about your infrastructure Describe your problem

You can start with this service alone.

Works with the tools and data you already have.

Setup + monthly · Price is set after a short assessment.

In your words

Half the day goes on answering the same questions on WhatsApp.

Quotes get delayed because there's no time to sit down and write them.

To know where things stand, someone has to go through everything by hand.

Every team built its own script, and nobody knows what runs on which key.

We want to try an agent on our data, without exposing it and without an open-ended bill.

There's no way to tell whether the model's answers are good, or what it costs.

What an agent can do for you

Example
A WhatsApp agent that answers first enquiries and passes you a tidy lead: who, what they need, and when to call.
Example
An agent that drafts a quote from the enquiry. You only approve it.
Example
Ask in plain language and get an answer from your data: how many quotes closed this month?
Example
A summary every morning: what's open, what's stuck, and what needs attention.
Example
Forms, approvals and reminders that run by themselves, without anyone having to remember.

What we do

We work out with you which repetitive work is worth taking off your hands first.
We build the agent or process, connect it to your systems and data, and define what it may do on its own.
We test it with you on real cases before it works with customers.
We track the costs and the quality of the answers, and tune.

What you get

A working agent or automated process, connected to your systems.
A written definition: what it does on its own, what waits for your approval, and which data it sees.
A monthly cost limit set up front, in your own account.
A monthly review: what it did, where it went wrong, and what is worth extending.

How it works

1. Choosing the task
One repetitive job that wastes the most time.
2. Setting the boundaries
Which data the agent sees, what it does on its own, and what waits for approval.
3. Setup and testing
We build, connect, and test with you on real cases.
4. Ongoing
Tracking costs and quality, and extending as needed.

Four things worth saying up front

The agent works with you, not instead of you. Important decisions get a human's approval.
Model usage costs money per use, and is paid from your own account.
We define up front which data the agent sees, and what is sent to the model provider.
We define up front what the agent does. Extensions later, as needed.

What is included and what is not

Included

Choosing the task and setting the boundaries
Setting up the agent or process
Connecting it to your systems and data
Testing on real cases
A cost limit
A monthly review

Not included

Model usage costs (paid from your own account)
Important decisions without a human's approval
Building a whole system (a separate service)

Setup + monthly · Price is set after a short assessment.

For technical teams

Google Cloud (GCP) is our specialty: the agents run in your own GCP account, in a project you own.
Retrieval over documents and data (RAG) on your sources, with per-user permissions.
Natural-language questions over the data warehouse, with a definitions layer that prevents unintended queries.
Connections to internal tools through defined interfaces, with an allow-list of actions.
Evaluation on a fixed set of test cases before every change.
Logging of every conversation and action, and cost limits per project.
The choice of model provider and its costs are documented and approved up front.

Every service stands on its own. These are pairings that work well together, not requirements.

Reports & dashboards

All your business data in one place, in reports that update themselves: how many leads came in, how many quotes closed, and what you made on each project.

Details