Enterprise Business Driven Apps, Powered by AI

The 3 Paradigms That Unlock Success in AI-Driven Business Apps

1.AI knows how to code, but...

AI codes very well — but it codes blindly. Give it a framework (design → specs → tests → feedback) and it becomes reliable and reproducible.

2.Developing is not coding

An application is not just about writing code. We integrate AI into a specs‑driven and Test‑Driven Development approach to deliver enterprise‑grade outcomes.

3.Empower your business teams

Developers go faster… but business teams go further. Developers gain ~25%; business teams multiply the value by generating apps themselves.

The 25% productivity plateau

Most organizations report ~25% gains because AI is placed behind developers as a helping hand for snippets, boilerplate, or unit tests. Useful, yes—but far from transformative.

Today’s models are advanced enough to generate complete applications.

True value emerges when you empower business experts (consultants, PO, Presales, ...) to build directly. This shift unlocks a new level of efficiency and agility. The bottleneck is organizational.

Operating Model Shift
  • AI as fullstack developer, humans as designers and reviewers
  • Business-led Apps, IT-led industrialization
  • Specs-first, not chat-first
  • Hyperagility as the operating norm
Technology innovation

Beyond Vibe Coding. For Enterprise

Vibe Coding lets you generate code from natural language — but enterprise value only emerges when generation is combined with structure.

An application is more than code.Architecture, UX, and coherence matter as much as lines of code.
“Vibe” doesn’t mean “no method.”Like any product discipline, software requires structure, tools, and process.
Specs over chat. Build from structured specifications — modules, APIs, UX patterns, and non‑functional requirements.

Business Benefits

Hyperagility
Prototype in days, industrialize in weeks. Keep IT and business in sync and adapt continuously.
Increased productivity
With AI as the developer, humans focus on architecture, quality, and security—gains of 2x or more.
Accelerate time to market
Lower delivery costs to serve long‑tail processes and experiments once “too expensive to justify”.
Reduced hiring dependency
Shift value from headcount to business expertise and orchestration of AI.

A Pragmatic Two‑Month Mission

Vibe Coding isn’t about coding faster — it’s about working differently. We make it tangible in 3 steps:

1

Discovery.

Build a mini‑app generated by AI to see the method in action.

2

Prototyping.

Enable business teams to create MVPs based on real use cases.

3

Industrialization.

Define standards, best practices, and integration methods to scale sustainably.

Ready to deploy with tangible outcomes: a core team of ambassadors, ready-to-use specification templates, proven methods and guides, and a working prototype.

Business team collaboration

The Bigger Picture

As code becomes cheap, software loses standalone value. Differentiation shifts to customer intimacy, data advantage, and domain expertise—and to the ability to orchestrate AI within a specs‑first operating model.

New competitive advantages
  • Customer intimacy → faster translation of needs into working apps
  • Domain expertise → guide AI toward relevant, high‑value solutions
  • Data → business advantage and defensibility

Ready to build with hyperagility?

Give business the power to prototype. Let IT lead industrialization. Orchestrate AI with specs‑first methods and see productivity jump beyond the 25% plateau.