AGENTAGILE

More capacity,lower cost

Agentagile puts the method and the knowledge in a system, not in people

Why development AI doesn't scale on its own

More code, a longer review queue

It moves; it doesn't disappear.

The same thing done two ways

Both reach production.

What is learned never returns to the project

The next one suffers it again.

Nobody knows who wrote what

An audit has no answer.

AI cost with no return

The AI bill keeps rising.

Scarce profiles and turnover

It leaves with the person.

Two professionals deciding what needs to be done

People, with their productivity AI

  • Deciding what needs to be done
  • Validating what is delivered
  • Their own AI tool
An engineer with several development instances working in parallel

AI development instances

  • Build and test in parallel
  • Unattended by people
  • A closed contract
A team working on the Datagentis system

Datagentis

  • Where everything is persisted
  • A database of your own
  • The method, the work

How it works

Through the Agentagile MCP, each AI tool receives the method, the work and the knowledge.

MCP Agentagile
Claude Cowork
Claude Code
Cursor
ChatGPT
Codex
Windsurf
Databricks
Snowflake
Microsoft Fabric
Talend

@manager

Converts what the manager decides

@engineer

Claims an eligible task

@qa

Reads from the test queue

@agentagile

Answers status questions

Connects to your systems

  • GitHub
  • GitLab
  • Jira
  • Linear
  • Teams
  • SharePoint
Datagentis Management Center, Roadmap: tasks without an epic, epics that are not progressing, unreviewed closures and stories without test coverage

The productivity leap isn't declared:it's measured in your Git

Datagentis Management Center, Performance: efficiency multiplier and pull requests merged per week
BeforeWith Agentagile
People developPeople decide and approve, with their management AI; AI development instances do the development
The plan lives in a task manager and in meetingsThe plan lives in a database of your own and is projected to your task manager
The method lives in documents and in habitThe method lives in the system and is served to each role on every task
Knowledge lives in peopleDocuments, meetings, transcripts and decisions are indexed and queried through conversation
You scale by hiringYou scale by adding AI development instances
Licensed tools are renewed every yearThey are understood with the Migration module, rebuilt to measure with Agentagile and switched off once parity has been measured

Datagentis doesn't build agents

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

  • Vendor: the model
  • You: your licences and your people
  • Datagentis: the roles, the method, the MCP, the DMC
  1. 1Every task is born as a contract

  2. 2Someone other than the executor always validates

  3. 3Nothing moves forward without validation