01 HUMAN INTELLIGENCE × MACHINE POSSIBILITY

Building the
conditions
for AI to work.

Not only models. The decisions, governance, teams and trust that turn artificial intelligence into organizational capability.

14+years connectingtechnology and business

250+people led acrossspecialist teams

$23MAI and dataportfolio

02 PRACTICE × CAPABILITIES

Capabilities,
proven in context.

CAPABILITY INDEXSELECT TO EXPLORE

AI Strategy &
Governance

Building the operating conditions for responsible enterprise AI.

0→1ENTERPRISE AI FUNCTION

C-SUITEDECISION FORUM

GICSA2025—NOW

Built the enterprise AI function, governance model, investment roadmap and executive decision forum.

INDRA2019—2025

Translated enterprise priorities into AI and data initiatives across complex client environments.

AI & Data
Business Building

Turning emerging technical capability into a scalable business.

~US$6MBUSINESS SCALE

80+SPECIALISTS

INDRA2019—2025

Connected capability development, multidisciplinary delivery and commercial accountability to scale a new business.

INDEPENDENT ADVISORY2012—2020

Built a practice translating architecture, mathematical modeling and analytics into enterprise decisions.

Enterprise Technology
Leadership

Connecting people, delivery and financial performance through one operating view.

250+PEOPLE LED

US$23MPORTFOLIO

INDRA2019—2025

Led AI, data, automation and cloud across four domains with shared delivery and commercial accountability.

GICSA2025—NOW

Leads enterprise AI from strategic agenda and executive governance through adoption and execution.

Applied AI &
Decision Systems

Structuring uncertainty so people can make better decisions.

7 YRSAPPLIED RESEARCH

2×RESEARCH + DELIVERY

UNIVERSIDAD NACIONAL2012—2019

Developed mathematical models and decision-support systems through applied research and teaching.

BELATRIX2018—2019

Moved analytical thinking into software delivery through data-model design, technical standards and estimation.

Team & Capability
Scaling

Creating the structures that let multidisciplinary talent compound.

250+PEOPLE LED

80+SPECIALISTS SCALED

INDRA2019—2025

Scaled specialist and multidisciplinary organizations from emerging capability to sustained execution.

UNAL + LA SABANA2014—2019

Developed technical capability through teaching, mentoring and academic guidance grounded in real problems.

03 THINKING × CURRENT MODEL

Ideas under
continuous training.

Working beliefs. Versioned, not absolute.

Capability outlasts any single model.

90%

Teams adopt what they help build.

87%

Evidence beats enthusiasm.

85%

What should humans refuse to delegate?

94%

Adoption is the real transformation.

88%

Governance should create clarity.

91%

Translation is not simplification.

04 TRAJECTORY × TRAINING DATA

The path shaped
the model.

Research gave me rigor. Teaching gave me language. Building businesses added scale. Today those threads converge in enterprise AI.

THINKRESEARCH · TEACHING

2012—2019Universidad NacionalRESEARCH · MODELING · TEACHING

2016—2017La SabanaGUIDANCE

MAKEADVISORY · ENGINEERING

2012—2020Independent AdvisoryDATA · ANALYTICS · DECISIONS

2018—2019BelatrixENGINEERING

SCALEBUSINESS · LEADERSHIP

2019—2025IndraENTERPRISE AI · DATA · CLOUD

2025—NOWGICSAENTERPRISE AI · GOVERNANCE · ADOPTION

05 CONNECT × OPEN CHANNEL

Interesting systems
start with better
questions.

Connect on LinkedIn↗

Building theconditionsfor AI to work.

Capability outlasts any single model.

Teams adopt what they help build.

Evidence beats enthusiasm.

What should humans refuse to delegate?

Adoption is the real transformation.

Governance should create clarity.

Translation is not simplification.

The path shapedthe model.

Interesting systemsstart with betterquestions.

Building the
conditions
for AI to work.

The path shaped
the model.

Interesting systems
start with better
questions.