AI agents, built to spec

Support, sales, and process automation built for how you actually work, instead of a generic chatbot configured in a hurry.

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The problem

Wiring up an AI agent without mapping the real process first produces answers that ignore context, and hand-offs to a human that are never clearly defined. What should be an efficiency gain turns into a reputational risk.

What's included

Packages

How it works

  1. Mapping

    We look at the real process, not the idealized one from a process document.

  2. Scope and proposal

    In writing: what the agent does, what it never does, and the acceptance criteria.

  3. Build and test

    The agent is tested, including against manipulation attempts, before any real customer talks to it.

  4. Operation

    We monitor real conversations and tune behavior in the first weeks.

Frequently asked questions

Does the agent replace our team?

That's not the goal. It absorbs repetitive volume and hands off to a human when the case calls for it, with the rule defined case by case.

How do you prevent the agent from saying the wrong thing?

The agent's scope is defined in writing and tested before launch. Behavior outside that scope is blocked from the start instead of patched after a mistake.

What does it cost to keep the agent running?

We don't publish fixed prices. Setup and the recurring fee depend on how complex the automated process is, and we quote in writing after the diagnostic.

Do you test the agent's security?

Yes. That's where the AI line meets the Security line: we test prompt injection and connected-tool abuse before calling the agent ready.

Does it work with the systems we already use?

The initial mapping checks exactly that before any proposal.

Let's talk about your AI agent

Tell us what process you want to automate. We've preselected AI & Agents in the form.

Request a diagnostic