The practice Method Team

Production,
not pilots.

88% of AI pilots never reach production. IDC

A practice for enterprise AI deployment.
We build it. We run it. We hand it over.

Deployment model

120DAYS

Build · Operate · Transfer.

M0Setup0 – 14d
M1Readiness14 – 45d
M2Activation45 – 75d
M3Validation75 – 105d
M4Transfer105 – 120d
Record · TR120-26-001 Active
Practice Madrid, ES · EST. 2026
Model BOT-120 — Build · Operate · Transfer
Partners 03 · IP · SJ · GA
Layers 04 · Analytics · Delivery · Sales · Strategy
Sectors 06 · Insurance · Energy · Telecom · Healthcare · Aviation · Food delivery
Outcome Day 121 — transferred.
FILE · TR120-26-001 REV. 01

Deployment · No. 120

120

Days· Build· Operate· Transfer

Enterprise AI has a last-mile problem.

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.

Four operational layers no platform provides.

01

Analytics

Know where to start. Diagnostic, readiness scoring, quantified ROI baseline before anyone deploys.

02

Delivery

Build at enterprise grade. Methodology, multi-agent architecture, QA frameworks, production deployment.

03

Sales

Capture value, don't destroy it. Positioning, pricing tools, branded collateral, demand generation.

04

Strategy

Make it sustainable. Business model, channel strategy, competitive moat, hybrid AI+human positioning.

Build · Operate · Transfer.

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.

M0

Setup

0 – 14d

M1

Readiness

14 – 45d

M2

Activation

45 – 75d

M3

Validation

75 – 105d

M4

Transfer

105 – 120d

Day 121, it's yours.

Two deployment territories.

Territory 01

Enterprises

Companies deploying AI into their operations — from diagnostic to production in 120 days. We close the gap between platform and business impact.

Territory 02

BPOs

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.

Field-tested, not theoretical.

Track record · 2025 – present

8

Enterprise accounts opened

3

Production deployments live

120

Days — field-tested model

Insurance Energy Telecom Healthcare Aviation Food delivery

Six sectors · One model · Production deployments only

Line 01
8
Enterprise accounts openedDirect partners · 2025 cohort
Open
Line 02
3
Production deployments livePast pilot · in operations
Operating
Line 03
120DAYS
Field-tested modelBuild · Operate · Transfer
Validated

8

Enterprise accounts opened

3

Production deployments live

The number that matters 120

Days — field-tested model.

Insurance Energy Telecom Healthcare Aviation Food delivery

Three partners run the four layers.

Founding partnership · Madrid · 2026

Isi Porquicho

Isi Porquicho

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

Susana Juan

Susana Juan

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

Guillermo Arbelo

Guillermo Arbelo

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

P-01i

Isi Porquicho

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

P-02ii

Susana Juan

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

P-03iii

Guillermo Arbelo

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

IP

Isi Porquicho

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

SJ

Susana Juan

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

GA

Guillermo Arbelo

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.

Stanford GSB Wharton IESE Comillas MBA Microsoft Telefónica IONOS Compaq CloudBlue Submer

Let's talk about the diagnostic.

The first step is always the same: understand where you are, quantify the opportunity, and decide if it's worth building.

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