trIAge120 — A Practice — Madrid
A practice for enterprise AI deployment.
We build it. We run it. We hand it over.
Deployment model
Build · Operate · Transfer.
Deployment · No. 120
01 · The gap
The market is full of slides about AI. We ship the system.
Every enterprise we've worked with had the same story: they bought the platform, hired the consultants, ran the pilot — and then nothing moved to production. The gap was never technology. It was the four operational layers that no platform provides and no advisor wants to own: the analytics to know where to start, the delivery discipline to build at enterprise grade, the commercial engine to capture value instead of competing it away, and the strategy to make the whole thing sustainable.
trIAge120 is a practice built to close that gap. We don't advise. We build the system, we operate it until it works, and we transfer it to the client — with the methodology, the tooling and the discipline built in. In 120 days. That's the BOT model: Build, Operate, Transfer. It's not a framework on a slide. It's a delivery contract.
02 · What we do
01
Know where to start. Diagnostic, readiness scoring, quantified ROI baseline before anyone deploys.
02
Build at enterprise grade. Methodology, multi-agent architecture, QA frameworks, production deployment.
03
Capture value, don't destroy it. Positioning, pricing tools, branded collateral, demand generation.
04
Make it sustainable. Business model, channel strategy, competitive moat, hybrid AI+human positioning.
03 · How we work
We don't hand you a report and wish you luck. We embed with your team, build the system in production, operate it until it works — and transfer the whole thing to you. Methodology, tooling, discipline. Day 121, it's yours.
Setup
0 – 14d
Readiness
14 – 45d
Activation
45 – 75d
Validation
75 – 105d
Transfer
105 – 120d
Day 121, it's yours.
04 · Who we work with
Territory 01
Companies deploying AI into their operations — from diagnostic to production in 120 days. We close the gap between platform and business impact.
Territory 02
Outsourcers turning voice AI into a competitive advantage — not a race to the bottom. Four operational layers that transform a platform into a services moat.
05 · Proof of work
Track record · 2025 – present
8
Enterprise accounts opened
3
Production deployments live
120
Days — field-tested model
Six sectors · One model · Production deployments only
8
Enterprise accounts opened
3
Production deployments live
Days — field-tested model.
06 · The partners
Founding partnership · Madrid · 2026

CEO · Sales & Strategy
Engineer by training (ICAI). 30+ years scaling enterprise technology — Telefónica, Compaq, CloudBlue, Submer. Operated frontier deep-tech as COO of Submer (immersion cooling for AI/HPC datacenters). Turnaround: Submer €3M→€85M in 15 months.
Stanford GSB · Wharton · IESE

CGO · AI Opportunity & Analytics
Owns the AI opportunity layer — Agentic Readiness scoring, pattern & anomaly detection, ROI modeling per use case. 20+ years in sales, strategy and P&L — Microsoft Spain, Arsys.
MBA · EOI Business School · ISDI Executive AI

Delivery & AI Engineering
Engineer by background. Owns the production layer that takes AI from pilot to live — deployment architecture, orchestration, integration, QA frameworks and observability. 20+ years from software development to cloud direction at IONOS/Arsys: release management, Kubernetes, operational continuity at scale.
MBA Executive Comillas
CEO · Sales & Strategy
Engineer by training (ICAI). 30+ years scaling enterprise technology — Telefónica, Compaq, CloudBlue, Submer. Operated frontier deep-tech as COO of Submer (immersion cooling for AI/HPC datacenters). Turnaround: Submer €3M→€85M in 15 months.
Stanford GSB · Wharton · IESE
CGO · AI Opportunity & Analytics
Owns the AI opportunity layer — Agentic Readiness scoring, pattern & anomaly detection, ROI modeling per use case. 20+ years in sales, strategy and P&L — Microsoft Spain, Arsys.
MBA · EOI Business School · ISDI Executive AI
Delivery & AI Engineering
Engineer by background. Owns the production layer that takes AI from pilot to live — deployment architecture, orchestration, integration, QA frameworks and observability. 20+ years from software development to cloud direction at IONOS/Arsys: release management, Kubernetes, operational continuity at scale.
MBA Executive Comillas
CEO · Sales & Strategy
Engineer by training (ICAI). 30+ years scaling enterprise technology — Telefónica, Compaq, CloudBlue, Submer. Operated frontier deep-tech as COO of Submer (immersion cooling for AI/HPC datacenters). Turnaround: Submer €3M→€85M in 15 months.
Stanford GSB · Wharton · IESE
CGO · AI Opportunity & Analytics
Owns the AI opportunity layer — Agentic Readiness scoring, pattern & anomaly detection, ROI modeling per use case. 20+ years in sales, strategy and P&L — Microsoft Spain, Arsys.
MBA · EOI Business School · ISDI Executive AI
Delivery & AI Engineering
Engineer by background. Owns the production layer that takes AI from pilot to live — deployment architecture, orchestration, integration, QA frameworks and observability. 20+ years from software development to cloud direction at IONOS/Arsys: release management, Kubernetes, operational continuity at scale.
MBA Executive Comillas
Operators, not advisors — three partners who have personally built, sold and run the four layers.
07 · Get started
The first step is always the same: understand where you are, quantify the opportunity, and decide if it's worth building.