03 / AI AGENTS

AI agents for enterprise processes
with controlled actions.

We build agents that go beyond text generation and perform permitted operations across enterprise systems through observable workflows.

01 / WHEN IT FITS

Use cases that need
an engineering approach

02 / DELIVERABLES

What is included
in the outcome

01

Workflow

A formal map of goals, steps, tools, exceptions and human control points.

02

Tools

Restricted API functions with argument and permission validation.

03

Orchestration

State, context, retries, limits and safe-stop handling.

04

Observability

Decision and action logs, quality metrics, cost and failure analysis.

03 / PROCESS

From a hypothesis
to a verifiable system

  1. 01

    Process analysis

    Separate useful automation from decisions that must remain human.

  2. 02

    Threat model

    Define allowed data, actions, roles, limits and failure impact.

  3. 03

    Sandbox

    Test with synthetic data and mocked tools before touching production.

  4. 04

    Pilot

    Run a limited scenario with approvals and detailed logging.

  5. 05

    Scale

    Expand permissions only after quality and failure analysis.

04 / QUESTIONS

The essentials

How is an AI agent different from a chatbot?

A chatbot primarily responds. An agent can plan steps and call approved tools such as finding a record or creating a task.

Can an agent change data?

Yes, with explicit permissions, argument validation, limits and human approval for critical operations.

How is quality measured?

By task completion, errors, interventions, correct tool calls, execution time and the process business metric.

05 / START A PROJECT

Start with the task,
data and outcome

In the first meeting we will review the use case, constraints and a realistic path to a measurable prototype.

Discuss a project