Service · Agents

Specialized AI agents

A demo that answers well once is easy. An agent that answers well on the four hundredth conversation, at three in the morning, on the request nobody anticipated, is a different piece of engineering.

What usually goes wrong

  • The agent is confident when it should not be, and nobody finds out until a customer does.
  • It works in testing and drifts in production, because nothing measures whether the answers are still good.
  • It can act on your systems but nothing records why it did what it did.

What we build

  • A clear boundary on what the agent may do on its own and what needs a person, decided with you rather than assumed.
  • Tools and data access scoped to the task: the agent sees what it needs and nothing else.
  • Evaluation that runs on real conversations, so a regression shows up as a number and not as a complaint.
  • A trace of every decision, which is what makes the thing auditable later.

How we build it

Multi-agent architectures where the task warrants one, a single agent where it does not. Memory that persists what matters and forgets the rest. Monitoring from day one, because an agent you cannot observe is an agent you cannot improve.

We put AI in almost any business.

  1. 01

    Discovery

    We map your processes and data to find where the lost time lives.

  2. 02

    Advisory

    We identify what can be automated and what AI actually improves. Judgment, not hype.

  3. 03

    Proposal

    We tell you what to do and how, with clear scope, ROI and risks.

  4. 04

    Adoption

    We build the agents and integrate them into what you already use.

  5. 05

    Ongoing support

    We measure, tune and stay with you as you use it.

Questions we get asked

How do you stop it from making things up?

It answers from your material and says it does not know when the material does not cover it. Then evaluation checks that it keeps doing so as things change.

Which model do you use?

The one that fits the task and the budget, and we tell you why. Being tied to a single provider is a risk we would rather design around.

Can it act on my systems, not just answer?

Yes, and that is usually the point. Which actions, with what limits and what needs confirmation is decided in the proposal, in writing.

What would you hand to an agent?

Tell us the task and we will tell you honestly whether an agent is the right tool for it. Sometimes the answer is a script.

IgarzaTech

AI agents studio. We put AI in almost any business — with discovery, a proposal and ongoing support.

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