InfoAcademy — Existing Orange Romania Vendor
Paris AI Studio is live. Bucharest has until 2028.

AI Operations Lab
for Orange Romania

We train your people to build AI systems and architect the patterns they build on. In 18 months, you don't need us. That's the point.

0K
Entry Investment
0 months
To AI Independence
0+
AI-Capable Staff
0 phases
Structured Engagement
€1.416BOrange Revenue·9.3MMobile Subscribers·€600MAI Value Target·52%Djia Success Rate·73+APEX Repos·100K+Students Trained·6Agents Active·70+Skills Deployed·€1.416BOrange Revenue·9.3MMobile Subscribers·€600MAI Value Target·52%Djia Success Rate·73+APEX Repos·100K+Students Trained·6Agents Active·70+Skills Deployed·

The Reality

Orange has the customers.
But AI isn't working yet.

🤖

Djia Voice AI — 52% Success Rate

🇷🇴

Romanian NLP — Underdeveloped

👻

Shadow AI — No Governance

📊

€600M AI Target — Clock Ticking

📱

No WhatsApp Presence

🏢

Vendor Lock-In Everywhere

Seen enough? Start with €25K.

No procurement committee. No RFP. One conversation.

WhatsApp Nico →

What We Offer

We transfer AI capability.
You build it. You own it. You run it.

IBM and Accenture deliver products — and a renewal invoice. We deliver an architectural capability that lives inside Orange permanently. Your people build the agents. The methodology is ours. The outcome is yours.

Train

8–12 of your engineers and ops staff learn AI agent architecture by doing — not by watching slides.

Build

Each person builds a working AI agent solving a real Orange problem. Network triage, knowledge base, procurement analysis — Orange picks the use cases.

Architect

Real agents running inside Orange's systems reveal the actual integration landscape. That evidence becomes your 18-month AI architecture blueprint.

APEX OS
IBM / Accenture
Model
Capability transfer
Product delivery
Ownership
You own every agent
Vendor owns IP
After 18 months
You run independently
Renewal required
Entry cost
€25–30K
€300K+ minimum

The Value for Orange

What this fixes.
Specifically. For you.

🤖Djia — 52% success rate

Your voice AI is failing half the time.

In Phase 1, your team builds a Romanian NLP agent calibrated to your call patterns. Measurable improvement by week 6 — not 18 months from now.

📊€600M Group Mandate — 2028

Paris set the target. Bucharest needs to deliver.

Phase 1 produces 3–4 working agents and an architecture blueprint. Bucharest becomes the Group's AI reference implementation — political capital for your leadership.

🔒Shadow AI — No Governance

15 internal experiments. No coordination.

12 trained staff who speak the same AI architecture language. A governance framework that coordinates what's already happening internally — and scales it.

🗝️Vendor Lock-In — Genesys, MATRIXX, IBM

Your stack already belongs to someone else.

Every agent your team builds belongs to Orange. The architecture blueprint lives on InfoAcademy. Zero APEX dependency after Phase 1 if you choose not to continue.

Your Team

Network engineering meets
AI infrastructure.

Delivered through InfoAcademy — your existing vendor. No new procurement. No new vendor qualification.

NF

Nico Fratila

AI Infrastructure Architect

APEX OS / InfoAcademy

73+ production repos. 5 years network engineering at Lloyds Banking Group. APEX OS founder — 6 persistent agents, 70+ skills. Currently architecting the AI agentic layer for a €33B TAM EU procurement platform. Building AI systems that run themselves.

  • Lloyds Banking Group — Network Engineering (5 years)
  • APEX OS — 6 agents, 49 repos, 70+ skills
  • ProfiCircle — AI Agentic Layer Architect (in development)
  • InfoAcademy — 20K+ learners, Orange Romania vendor
MCT

Mihai Catalin Teodosiu

Network Automation AI Specialist

aiQA / GNS3 Technologies

100,000+ students across 185 countries. Vodafone NOC engineer. Building Network Automation AI Agents. CCNP certified. 12-dimension AI system management framework. Claude Code + MCP expert.

  • Vodafone — NOC Engineer, 200+ critical alerts
  • 100K+ Udemy students, 185 countries
  • CCNP, CCNA, CCDA, JNCIA, ISTQB certified
  • Politehnica Bucharest — BS Telecommunications

The Engagement

Three phases.
18 months to AI independence.

Start at Phase 1. Scale when ready. Stop any time — you keep everything.

Phase 01 — The Entry Point

AI Operations Lab

Funded from L&D budget · Below VP discretionary spend · No procurement committee

€25–30K
10 weeks · Fixed fee

10-Week Program

W1–2

Foundations

Agent patterns, orchestration, deterministic vs probabilistic pipelines, governance basics

W3–6

Build Sprint

Each team selects a real Orange use case — network triage, knowledge base, procurement analysis. Orange picks. We guide the build.

W7–8

Architecture Review

APEX reviews what your teams built. Synthesises patterns. Maps integration opportunities against Orange's live systems.

W9–10

Roadmap Delivery

Living blueprint on InfoAcademy — not a PDF. 18-month roadmap grounded in what your people built, not external assumptions.

What You Get

🤖

3–4 Working AI Agents

Built by YOUR team. Owned by Orange.

🗺️

Living Architecture Blueprint

On InfoAcademy — not a PDF. Evolves with your stack.

👥

12 Trained Employees

Your internal AI champions. Ready to scale Phase 2.

📋

18-Month AI Roadmap

Grounded in your builds, not consultant assumptions.

🔒

Governance Foundation

Standards, audit trails, shadow AI visibility.

📊

Capability Assessment

Evidence for your Group AI mandate reporting.

Phase 026 months

Scale & Integrate

Architecture Deployment

€150–200K
Phase 039 months

Autonomous Operations

Self-Sustaining AI Team

€400K+ / retainer

Straight Answers

Questions you should be asking.

Why not hire an AI engineer internally for €5K/month?

You're a small company. Can you handle Orange scale?

What if we take the blueprint and give it to Accenture?

Orange Group has AI teams in Paris. Why go external?

€25-30K seems cheap for 'architecture' but expensive for 'training'.

The Bigger Picture

Phase 1 is the door.
The infrastructure is behind it.

Orange's full AI infrastructure — deterministic pipelines, self-verifying decisions, EU AI Act compliant — built in four phases over 24 months.

You are here
Phase 01

AI Operations Lab

€25–30K · 10 weeks

Train 12 staff. Ship 3–4 agents. Deliver architecture blueprint. Entry point via L&D budget.

Phase 02

Sovereign Infrastructure

€150–200K · 6 months

APEX OS deployed. WhatsApp gateway. AGENTS.md governance. Security hardening. Genesys/MATRIXX integration.

View Phase 02 proposal →
Phase 03

Architectural Cognition

€350–450K · 9 months

FDRP quality layer. N≥3 cross-model verification. Romanian NLP fine-tuning. EU AI Act compliance.

View Phase 03 proposal →
Phase 04

Orange as AI Platform

€500K–1M/yr · Ongoing

License Romanian NLP to Orange Group. AI-as-a-Service for B2B clients. Bucharest = Group AI hub.

Total engagement over 24 months: €1.0M – €1.7M · Orange owns all IP at every phase · Stop any time · Keep everything you built

Below VP discretionary spend — no committee needed

Ready to build?

10 weeks. €25–30K. Working AI agents built by your team.
If the agents don't deliver value, you still have 12 trained people.

MCT

Mihai Catalin Teodosiu

Network Automation AI Specialist

InfoAcademy × APEX OS — Bucharest, Romania · London, UK