operational AI agent
One real workflow. One agent responsible for executing it.
I design and deploy an agent inside the tools your company already uses. It receives a clear task, accesses only the allowed data, executes the workflow, and leaves an audit trail.
Book a scoping sessionhow it works
How an agent works inside your process
- 01
Something arrives
A message, an email, a file, or an order.
- 02
The agent understands it
It reads, extracts what matters, and checks it against the process rules.
- 03
It acts in your tools
The ones your company already uses. No need to switch systems.
- 04
You approve what is sensitive
Anything that can't be undone waits for a person to decide.
- 05
Everything is recorded
You can see what was done, when, and why.
deployment method
We map the workflow and its boundaries first. Then we build evaluations, put one thin slice in production, and operate with real data before expanding autonomy.
- 1
Map
the workflow, its input, output, and boundaries
- 2
Evaluate
criteria for outcome, path, security, and cost before building
- 3
Deploy
one thin slice in production, with real data
- 4
Operate
monitor it, and only then expand autonomy
What is included
- One bounded workflow with a defined input, output, and owner.
- Integrations with the tools required by that workflow.
- Logs, rules, and human approval for high-impact actions.
- Evaluation criteria for outcome, path, security, and cost.
- Documentation for the workflow, access, limits, and operations.
Autonomy without unrestricted access
The boundary lives on the server, not in the prompt. The agent gets only the permissions it needs, fails visibly, and asks for a human decision when an action is irreversible or outside its contract.
A good fit when
- the workflow already exists and consumes recurring work;
- its data sources and tools are accessible through APIs;
- the result can be verified by a rule or an accountable person.
Not a good fit when
- the workflow changes every week and nobody knows the correct output;
- the expectation is to replace an entire team on day one;
- no human is accountable for the system's outcome.
investment
Pilot for one operational workflow
From R$ 20,000. A fixed 21-to-30-day scope for one bounded workflow. The exact number comes out of the scoping session — already included, never billed separately.
Expanded system — with more integrations, dashboard, and operations: around R$ 40,000. Monthly support is optional, from R$ 2,000.
Frequently asked questions
Does this replace my team?
No. The agent takes over the repetitive part of one bounded workflow; a person stays accountable for the outcome and approves high-impact actions. If the goal is to replace a whole team on day one, this is not the right place to start.
What if the AI gets it wrong?
The agent only gets the permissions it needs, fails visibly, and asks for a human decision when an action is irreversible or outside its contract. Its actions are logged, so you can see what happened and fix it.
Do I need to change the systems I use?
No. The agent works inside the tools your company already uses, as long as they can be accessed through an API.
How long does it take and how much does it cost?
A pilot for one workflow takes 21 to 30 days, from R$ 20,000. The exact number comes out of the scoping session, which is included. The first conversation, the AI Automation Diagnostic (30 min), is free.
Is my data safe?
The boundary lives on the server, not in the prompt: the agent only reaches the data allowed for that workflow, and high-impact actions go through human approval and are logged.
Do you have a workflow like this?
Bring the current flow, the tools involved, and where it usually breaks. The first conversation is for deciding whether an agent helps or merely adds complexity.
One hour, online. Nothing is charged at booking.