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AUTONOMOUS AI UNDER ENGINEER SUPERVISION

Autonomous AI PILOT PROGRAM

We are launching our pilot program for developing AI agents that take on tasks in enterprise processes — reading data, proposing decisions, executing defined steps — with enterprise software discipline. This is a new field; we proceed without grand claims, measuring as we go, under engineer supervision.

Let's talk about the pilot program

Principles

The pilot program is guided by four principles.

Under engineer supervision

Agents operate within defined authority boundaries; critical steps require human approval.

Traceability

Every action the agent takes is recorded: what it did, with which data, and with what result.

Narrow scope, measurable goal

Pilots start with a single, well-defined workflow; success criteria are defined together at the outset.

Client data within defined boundaries

The agent architecture is built on the principle that data is processed within contractually defined boundaries.

How the pilot works

From a narrow start to a measured decision, three steps.

  1. 01Candidate workflow selection

    Jointly identifying a workflow suitable for an autonomous agent, with clearly definable boundaries.

  2. 02Supervised pilot

    The agent first runs in shadow mode (it proposes, a human executes), then operates with gradually increasing authority.

  3. 03Measurement & decision

    Evaluation against the criteria defined at the start; the decision to continue, expand or stop is based on the data.

We don't yet have a reference project in this field; the purpose of the pilot program is to build one together. What we promise is not result figures, but process discipline.

Let's design the pilot program together

Let's start with a narrow, measurable pilot — and define the scope and success criteria together.

Let's talk about the pilot programinfo@mavidev.com  •  +90 (531) 9 393 393