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AI-Augmented Engineering, the AI-First standard

AI in the client's solution and in our own internal operation. Augmented pipelines and agents as daily practice, not as a feature.

Three pillars of the standard in practice

How AI-First operates on every enterprise project, in daily engineering practice, not in demonstrations.

01

Duality: solution and operation

AI operates on what we deliver to the client and on how we engineer internally. The promise is validated on both planes, not just one.

02

AI-Augmented pipelines

Agents integrated into the engineering pipeline: delivery acceleration, augmented test coverage, and verifiable quality in production.

03

Dogfooding before the client

Microsolutions validated in our own esinergia production before being applied to a client. What we deliver has already passed through our own enterprise environment.

How the standard shows up on every engagement

Four operational standards, the difference between a demonstrable AI-First practice and a marketing claim.

A direct owner of the standard

A full-time AI Lead in place since May 2026, the standard has an operational owner, not a marketing declaration.

Verifiable contribution to the Drupal AI Initiative

Gold Sponsor with a dedicated developer on the Drupal AI Initiative, sustained by our continuous contribution to the drupal.org project.

QA with augmented coverage

Automated testing with agent-augmented coverage, vulnerabilities detected before production, not after.

Enterprise judgment over commodity code

AI lowers the cost of code. It doesn't lower the value of judgment. esinergia competes on architectural judgment, not on prompt speed.

The practice starts by contributing to the standard, not by consuming it.
Drupal AI, Gold Sponsor
of the Drupal AI Initiative, active sponsorship of the global AI-in-Drupal initiative. Dedicated developer on the initiative, sustained by our continuous contribution to the drupal.org project.

Ready to talk with a partner that practices the standard rather than promising it?

We listen first to your technical context and where it can be applied with enterprise judgment, and tell you honestly whether the technology fits your case.

Isotipo de esinergia en marca de agua