DATAGENTIS MANAGEMENT CENTER

The screens are for viewing and fine-tuning,not for filling in forms

Where you see, review and fine-tune what already exists

What hurts

Nobody knows who wrote what

An audit has no answer.

AI cost with no return

The AI bill keeps rising.

The plan lives in meetings

What is decided never reaches the project.

What is learned never returns to the project

The next one suffers it again.

What you get

The status of each project

  • Summary of the chosen period
  • Every figure leads to its detail
  • Performance and consumption on one screen

Measured performance

  • Productivity measured in your Git
  • Multiplier and pull requests
  • Adoption by person

AI cost per task

  • Tokens and estimated cost
  • By project, user and model
  • By service and operation

How it works

You define almost everything by talking to your management AI; the DMC reflects it.

Datagentis Management Center, Consumption: total, input, output and cache tokens
Datagentis Management Center, Consumption: tokens per service

Connects to your systems

  • Jira
  • Azure DevOps
  • Linear
  • GitHub
  • GitLab
  • Teams
  • SharePoint
  • OpenMetadata
  • OpenTelemetry

Datagentis doesn't emit the telemetry:it captures it

Datagentis doesn't build agents

The AI tools are the ones you already have under contract; the platform gives them a role.

Corporate AIYOUR AI

  • Claude
  • Cowork
  • ChatGPT
  • Copilot
  • Claude Code
  • Cursor
  • Codex
  • Windsurf