Produce · AI Factory

AI across the IT production
chain

Delivery is undergoing a paradigm shift: the specification becomes the product. Once formalized, business rules automatically generate the code, the tests and the documentation.

When the specification changes, everything is regenerated from a single source. Development cycles lasting several weeks give way to a continuous flow that can deliver in a matter of days.

÷5
Time-to-market
Average gain observed on AI deliveries
72h
AI-native sprint
vs. 3 weeks in traditional delivery
×12
Squads deployed
From 3 pilots to 35 squads in 6 months
−85%
Cycle time
From brief to production
What Niji AI Factory addresses

Four modes, one single setup

Can be activated separately or in sequence. Every engagement starts with a 48-hour Go/No-Go gate with defined success criteria. That is our safeguard.

02
Eliminate technical debt
Automated refactoring · stack modernization · security
  • Automated codebase analysis: CVEs, Sonar debt and obsolete patterns identified in hours
  • Conversion to robust, long-lasting stacks: no more dependency on obsolete legacy technologies
  • Major version migrations, modular re-slicing: stronger security and lower maintenance costs
  • Atomic PRs, strict non-regression contract, blocking quality gates
  • Governance, security and intellectual property kept under control for responsible use of AI, with verified AI Act compliance.
−80% : residual CVEs after refactoring
03
Break free from licenses
SaaS replacement · build vs. buy · 12–36 month ROI
  • SaaS portfolio audit: candidates for replacement identified with an ROI quantified over 12 to 36 months
  • The replacement is delivered by an AI-native squad: tailored to the business, with no recurring license fees
  • New AI cost structures reverse the build vs. buy trade-off: what used to be out of reach becomes profitable
  • Services-as-Software model: recurring revenue on the license savings captured
2 months : To deliver a custom replacement for a SaaS product
04
Scale the AI organization
From vibe coding to industrialization · Workforce Planning · governance
  • A proprietary Niji runbook to structure, harmonize and industrialize practices across all our squads.
  • Industrialization of shadow vibe-coding prototypes built by business teams
  • Definition of new AI-native roles and an AI Workforce Planning path with your HR teams
  • Smoother business/IT collaboration governance, shorter decision cycles
  • Rollout of agentic platforms: from 3 pilot squads to 35 industrialized squads
×12 : AI squads deployed with no loss of quality
How it works

The Niji ARC™ method

ARC transforms the approach to delivery through an AI-driven methodology. Built on Spec Driven Development, it puts the specification at the center of the process: agents generate from a shared framework, enriched by our proprietary agents for accessibility, eco-design and cybersecurity. A new way to ship faster, without compromising on quality or longevity. Read the full article →

01
Intent
Business framing

Business rules are formalized with the sponsor. The spec becomes the delivery contract: nothing is generated without it.

02
Before the code
Pre-prototyping

Business and AI iterate together on the UI and features. Journeys validated, ambiguities resolved, while the cost of change is still minimal.

03
Build
Agentic build

Specification-driven generation. Niji's proprietary SDD agents, orchestrated by AI Engineers, build on a proven target, not a hypothesis.

04
Verification
Deterministic CI/CD

Code quality metrics, code coverage, tests, accessibility, cyber, performance and token costs: automated at every release. AI generates, tooling verifies.

05
From the spec
BUILD for RUN

Maintainability is a design constraint from day one. We ship products built to last, well beyond the first release.

3 principles that make the difference: pre-prototyping before the code · AI and deterministic tooling each in their place · BUILD designed for RUN.

The setup

The AI-native squad

A tight, autonomous team that stays close to the business. Backed by 1,400 Niji experts available on demand.

Composition and responsibilities of the Niji AI-native squad
RoleResponsibilities
AI Product Builder The sponsor's main point of contact. Owns the problem, the business rules, the ROI and the cadence.
AI Architect
50%
System architecture, patterns, security, AI Act compliance. Adapts agents and workflows to the context.
2 AI Engineers Building, iterating and integrating with AI editors and SDD agent chains.
Supporting experts Niji's cross-functional pool, mobilized on demand: Designer, Data, Cyber, AI FinOps, Change, Salesforce.
Value guarantee

Nothing goes to production without a measurable value threshold. Business Champions embedded on the client side. Leading indicators tracked from day one.

Typical organization
Steering
  • Delivery Manager
  • Design Authority
  • LLM Ops
Feature Team 1
  • AI Product Builder
  • AI Lead Engineer
  • AI Engineer ×2
  • AI QA Lead
Feature Team 2
  • AI Product Builder
  • AI Lead Engineer
  • AI Engineer ×2
On-demand experts
  • Design
  • Data
  • Cyber
  • AI FinOps
  • Solution Architect
Before every engagement

Gate Go / No-Go
in 48h

Every AI Factory engagement is framed by a 48-hour gate with success criteria defined before any commitment. Three possible outcomes, all of them legitimate.

Four criteria assessed: problem scope · data quality and access · required IT integrations · regulatory constraints.

Go
Immediate Go

All four criteria are met. Planning on day 3, build on day 4. The squad is activated immediately.

Conditional Go
Conditional Go

A short reframing (1 to 2 days) on scope or data access, then back into planning. No budget committed unnecessarily.

No-Go
AI No-Go

The case is not suited to agentic delivery. It is redirected to a traditional Niji engagement. That is our commitment to transparency.

They did it with Niji

Measured results

Luxury
Global luxury leader

AI Native Delivery Squad: from brief to production in 72 hours. Short iterative cycles, punctuated by sponsor demos at every stage to speed up decision-making and secure the value delivered.

−85%
Cycle time vs. traditional delivery
Mode: Accelerate delivery
Travel
International tour operator

Modernization of critical applications (Java 8 → 25): 200 days instead of 1,000, thanks to automated refactoring by AI agents.

÷5
Development effort
Mode: Eliminate technical debt
Mobility
National mobility player

Custom HR product delivered by an AI Factory squad in 2 months, replacing an underused SaaS product - ~€50k/year in license fees eliminated.

2 months
To replace an underused SaaS product
Mode: Break free from licenses
Retail
French multinational

From shadow vibe coding to AI industrialization: a proprietary Niji runbook rolled out across all our squads to structure practices and accelerate adoption at scale.

×12
AI squads industrialized in 6 months
Mode: Scale the AI organization
Combining the pillars

AI Factory fits
into a broader program

AI delivery is more powerful on a healthy IT landscape with reliable data. AI Factory naturally combines with Niji's other offers.

Entry point
AI Strategy & Change

Strategic framing identifies priorities and quantifies the ROI before any commitment.

Discover →
Operate
AI Agentic

On an IT landscape modernized by AI Factory, AI agents operate without friction or blocking debt.

Discover →
Multiply
AI Growth

AI Factory industrialization ensures that AI products reach production, with measurable criteria.

Discover →
Foundation
Data & Trust

Reliable data and secure IT are the prerequisite for frictionless AI delivery.

Discover →
First step

Let's frame your first sprint

Looking to accelerate delivery, eliminate technical debt or industrialize your AI squads? Share your context with us and we will get back to you within 24 hours.

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