AI agentsStay Digital
An AI agent is not a loose chat. It is a workflow with an input, rules, a cost and a review point. I design the workflow, build it and put it to work inside the company, with the decision always in a person’s hands.
If this happens in your operation
- i.
The team already uses AI on its own
Everyone with their own chat, no record, no standard, and company data walking out the door.
- ii.
You want to use AI and don’t know where
Not every process gains from AI. The first step is finding where it actually removes work.
- iii.
Fear of the machine’s mistakes
Rightly so. That is why the flow blocks what is uncertain, and nothing goes out without a person approving it.
What I automate
- 01
An AI workflow designed for the process
Input, steps, rules and review point defined before a single line of code.
- 02
Agents with human review
AI reads, triages and drafts. Everything is a proposal until someone reviews it.
- 03
Cost under control
The price of each run appears before the click. And the whole flow can be validated with a simulated reading, without paying for a real one.
- 04
Learning that stays in the company
Today’s correction becomes a lesson for tomorrow’s analysis, approved by someone, with no model training.
- 05
An assistant for your customer
Simulators, a diagnosis and an AI assistant that answer the customer’s question before they talk to the team.
Real timelines
Work that proves it
How I work
- i.
Map
I talk to the people doing the work by hand and follow the real process. Who does it, what comes in, what goes out, where it fails and what a failure costs.
- ii.
Choose
Not everything is worth automating. I turn what I saw into opportunities and pick the first one: the one that repeats most and hurts most.
- iii.
Validate
I build the working flow, often with the AI simulated, to test with the people who will use it before paying for real reads.
- iv.
Automate
I ship in slices, with a person in control of what matters. The job is only done when the team stops doing it by hand.
Frequently asked questions
What is the difference between an agent and an AI chat?
A chat answers whoever asks and forgets. An agent runs inside a company workflow: it receives a defined input, follows rules, records what it did, shows the cost and stops at the point where a person needs to decide.
Will the AI make decisions on its own?
No. The rule in my projects is: AI proposes, a human confirms. What it doesn’t recognize stays blocked instead of becoming a guess.
Is company data safe?
Access is per user and what each person did is recorded. It is the opposite of everyone pasting documents into a personal chat.
How much does it cost to run?
AI cost is per use. That is why it appears before every run, and why I validate the flow with a simulated reading before paying for a real one, as I did with photo-based ordering.
Do I need an in-house technical team?
Not to start. I build it and ship it. If there is an in-house team, the documentation stays so they can keep going without depending on me.
Where would AI take work off your team tomorrow?