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
Phase 1 Investment
0 months
To AI Independence
0+
Agentic AI-Ready Staff
0 phases
Structured Engagement
€1.416BOrange Romania Revenue·9.3MMobile Subscribers·€600MGroup AI Target by 2028·52%Djia Success Rate·100KsContracts Expiring Monthly·10M+WhatsApp Users in Romania·40+ yrsCombined Team Experience·200+AI Skills Deployed·€1.416BOrange Romania Revenue·9.3MMobile Subscribers·€600MGroup AI Target by 2028·52%Djia Success Rate·100KsContracts Expiring Monthly·10M+WhatsApp Users in Romania·40+ yrsCombined Team Experience·200+AI Skills Deployed·

The Reality

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

📋

Contract Renewals, 5-Day Wait

📧

Support Emails: Manual Triage

🇷🇴

Romanian NLP: Underdeveloped

👻

Shadow AI: No Governance

📊

€600M AI Value Target: Clock Ticking

📱

No WhatsApp Presence

Seen enough? Start with €30K-€50K.

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.

The core principle

The agents handle the volume. Your people handle what requires judgment.

These AI agents are not here to replace Orange employees. They exist to remove the high-volume, repetitive grunt work, so your team spends their time on decisions, relationships, and complex cases. The work only humans should be doing.

Train

8-12 Orange employees learn to build AI agents. Not a course, a build sprint. They leave with skills, not certificates.

Build

Each team builds a working agent for a real Orange problem. Contract renewals. Email triage. The agent takes the volume. The employee takes the credit.

Architect

What your team builds reveals your actual integration landscape, turning 10 weeks of hands-on work into an 18-month AI roadmap grounded in evidence.

APEX OS
IBM / Accenture
Model
Capability transfer
Product delivery
Structure
Three fixed phases, stop any time
Single monolithic project
Ownership
You own every agent
Vendor owns IP
After 18 months
You run independently
Renewal required
Phase 1 start
€30K-€50K
Not offered as a phase
Full engagement
€565-700K (P1 + P2 + P3)
€1M-€3M+ single programme

The Value for Orange

What this fixes.
Specifically. For you.

🎯Use cases that already exist inside Orange

You already know which workflows are painful. Phase 1 picks two or three and proves them.

Sponsor-led selection from a menu of five (support and service triage, retention and renewal copilot, internal knowledge assistant, network triage, procurement). Voice surfaces like Djia are one option, not the assumption. Whatever Orange picks becomes the evidence base for Phase 2.

📊€600M AI Value Target, 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.

Track Record

We already built this.
For ourselves and for clients.

€3M+R&D Codebase

GTM Agentic Platform

Co-Founder, Cognition Architecture

Co-founding a plug-and-play GTM platform (€33B TAM) with an established EU procurement founder. Enterprises connect their vendor and customer data. The cognition layer handles discovery, qualification, matching, and onboarding autonomously. Full vendor lifecycle outsourced to AI, not to a consulting firm. Built on €3M+ of existing R&D.

In Development

Your Team

Enterprise engineering.
AI-native delivery.

IBM, Sun Microsystems, and Lloyds pedigree. 60+ years enterprise delivery. Cloud, security, and SCADA engineering. Delivered through InfoAcademy, your existing vendor.

Strategic Leadership

Nico Fratila

Nico Fratila

Founder & CEO, APEX OS
London, UK

Founder & CEO of APEX OS, the sovereign AI operating system running 24/7 on Azure with 400+ self-evolving skills, persistent agent memory, multi-model orchestration, self-healing infrastructure, and a knowledge distillation engine. Also runs InfoAcademy, Orange Romania's existing training vendor. Background spans 5 years of network engineering at Lloyds Banking Group (cloud migrations and operational transformation), business analysis and project & programme management across FinTech and RegTech, and scalable platforms built from scratch. Chief Customer Office at CUBE Global. Helps founders and businesses move from concept to execution with battle-tested frameworks, AI automation, and hands-on technical expertise. Architect, overseer, cognitive-intelligence layer, deployer, shipper.

APEX OSInfoAcademyLloyds Banking GroupCUBE Global
Mru Patel

Mru Patel

Co-Founder, Executive Chairman & Global Partner
Dubai, UAE

40 years at the intersection of innovative, disruptive enterprise technology and global commercial strategy. Led multi-billion-pound programmes at IBM, Siemens, and Sun Microsystems, including pioneering several vertical-sector solutions including telcos, open-source platforms, and securing deals valued at over £3B across Europe, Africa, and Asia. Government and Fortune 500 advisor since 1987. Established the first independent Property Investment Fund in Eastern Europe in 2004. Founder and CEO of several startups in FinTech, HealthTech, Marketing & Comms. Brings the strategic and commercial architecture that turns a strong technical proposal into a Group-level decision.

IBMSiemens NixdorfSun MicrosystemsGovernment & Fortune 500eWealthTech

Execution Team

Bogdan Toporan

Bogdan Toporan

Founder · Cloud Architect · SCADA Patent Holder
Cluj, Romania

20+ years leading engineering teams at Telenav, Micro Focus (HP), and Emerson, where he patented a SCADA communication system for the Oil & Gas sector. Bridges traditional IT and the AI revolution through two consulting brands: Arandi Software takes brittle monoliths to resilient, scalable cloud systems (Microservices, Kubernetes, AWS); Digitalize Today designs and deploys agentic AI, workflow automation, and intelligent document processing that actually works in production, saving hundreds of hours of manual labor.

TelenavMicro Focus / HPEmersonArandi SoftwareDigitalize Today
Hardik Nakum

Hardik Nakum

Director · Cloud, Security & Enterprise Transformation
UK

Over a decade across global financial institutions at the intersection of AI, cloud, and cybersecurity, driving enterprise transformation with a strong focus on resilience, governance, and long-term impact. Has led large-scale cloud and transformation initiatives across Azure, AWS, and GCP, supported multi-cloud re-architecture programmes, and helped leadership teams adopt innovation in a way that is practical, responsible, and aligned to business outcomes. Builds the next generation of enterprise systems where humans and AI work together.

Global Financial InstitutionsAzure · AWS · GCPCybersecurityAI TransformationMindNova

Local & International Partners

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

€30K-€50K
10 weeks · based on scope

10-Week Program

W1-2

Foundations

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

W3-6

Build Sprint

Each team picks a real Orange use case (network triage, knowledge base, procurement analysis). Orange chooses the workflow. 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 02 - 6 months

Operationalise & Integrate

From Phase 1 winners to production

€185-200K
Phase 03 - 9 months

Enterprise AI Operating Model

Governed, scalable, durable. Owned by Orange.

€350-450K

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?

€30K-€50K seems cheap for 'architecture' but expensive for 'training'.

Below VP discretionary spend, no committee needed

Ready to build?

10 weeks. €30K-€50K based on scope. Working AI agents built by your team.
If the agents don't deliver value, you still have 12 trained people.

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

nico.apex.infoacademy.uk