Three generations of operating IP.
Genoma at Accenture. AI Pods at Globant. Value OS at Athrios. One thesis: industrialize Data & AI value, built three times, at three scales.
AI Pods — a repeatable, agentic AI operating model
Gen 2 · Globant · co-created & scaled · 2024A subscription operating model that industrializes Data & AI outcomes, combining agents, reusable assets and human experts with quality gates, KPI cadence and executive accountability, so initiatives never depend on heroic execution.
enterprise accounts
faster time-to-value
lower rework
gate pass target
“Agents without governance create faster noise; agents with operating discipline create leverage.”
AI Pods evolved into a cognitive delivery engine: specialized capacity units combining AI agents and human experts by domain, orchestrated per business blueprint through Research → Planning → Implementation with automated quality gates and always-on observability (Time-to-Data-Product, Data Trust Score, SLA, Cost per Domain).
Data Led Transformation
Built on field practice: 20+ data engagements since 2009
The full data lifecycle as one operating motion, so governance, platform and AI stop being separate projects.
Technology Blueprint
Built on TOGAF · COBIT · ITIL: hardened across 200+ architectures
Turns architecture standards into executable blueprints, the method behind 6 core-banking modernizations and 100+ apps.
Data Modeling Framework
Authored as a formal Accenture PoV (2022) · Kimball dimensional foundations
Full lifecycle with a 5-level maturity model across existence, consistency, business linkage, tooling and governance, the discipline that makes every model repeatable, auditable and bank-grade.
Field-proven at a leading financial institution: enterprise logical & physical models federated through the data catalogue, with lineage from business process to producer feed.