LAUDE AI Delivery

Building with AI. By design.

LAID brings generative AI into the way we design and develop software, increasing team capabilities without compromising quality, control or accountability.

AI + Engineering

More AI doesn’t mean better results

Generative AI can accelerate many development tasks. But without a clear method, it can also increase rework, introduce inconsistencies and create a false sense of productivity.

That is why LAID does not start by asking how much we can automate. It starts by deciding what should be delegated, how it should be verified and how results should be measured.

What does LAID deliver?

Measurable outcomes

An initial baseline and metrics for every sprint, release and quarter, covering DORA, product quality and actual AI adoption.

A consistent framework for AI and accountability

Different execution modes determine the appropriate level of AI involvement for each task, based on risk and verifiability.

Compliance by design

A project-specific AI Working Agreement aligned with the EU AI Act, ISO/IEC 42001 and NIST AI RMF, supported by an auditable evidence trail.


The methodology

Principles

01

Value first

We assess the impact of AI through measurable productivity, quality and adoption metrics.

02

Human oversight

People remain accountable for decisions and outcomes.

03

Traceability

Everything generated by AI is identified and tracked, so we always know what comes from AI and what comes from people.

Components

Specialist agents

AI as a Code

Governance

 

Execution modes

Verifiability

Metrics

A better way to build with AI

AI has no legal accountability and never has to answer to an unhappy client: People do.

LAID brings our Responsible AI approach into the way we develop software with AI.

  • AI amplifies what the team already does.
  • A clear, effective methodology governs how it is used.
  • AI involvement is determined task by task.
  • People remain accountable. Always.
  • Compliance and ROI are backed by evidence.

Let’s talk

We look at every challenge in its real-world context to determine what’s worth building — and the right way to build it.