episteme.work/corporate

Estrategia de Datos e IA. Construida para durar.

Gobierno de datos, analítica e IA de nivel empresarial para organizaciones de todos los tamaños. Sin promesas vacías. Sin chatbots genéricos. Bases reales, resultados medibles, enfoque responsable.

Comenzar con un diagnóstico ↓

00 — Antes de todo

Lo que hacen FEMSA, Liverpool y Kellogg con sus datos no es exclusivo de las grandes. Es método. Y el método es replicable.

Todo proyecto comienza con un diagnóstico.

Before proposing any solution — large or small — we conduct an honest assessment of where the organization actually stands. No assumptions. No templates. A real starting point that shapes everything that follows.

The output is not a 200-page report. It's a clear map of where the organization is, where it wants to go, and the most honest path to get there.


01 — How we work

A chain, not a menu.

We don't offer isolated services. We offer a coherent progression where each layer enables the next. A client can enter at any level — but always after the diagnosis confirms the previous layers are ready. We don't skip steps.

This progression is what distinguishes EPISTEME from those who sell chatbots as a magic solution, or those who offer governance without connecting it to business value.

01
Data Foundation
Governance · Architecture · Quality · Compliance
02
Analytics & BI
Dashboards · KPIs · Self-service · Executive reports
03
Advanced Analytics
Predictive models · Forecasting · Segmentation · Anomalies
04
AI Solutions
Agents · Applied LLMs · Automation · Custom AI
Enables trustworthy data for analytics
Enables visible value for the business
Enables anticipation, not just description
Enables intelligent automation at scale

A client can enter at any layer — but always knowing which foundations are already in place. The diagnosis tells us.


02 — Service lines

What we deliver.

01
Data Foundation
The layer that makes everything else possible.

Governance design, data architecture, quality and compliance. Without this layer well-built, any investment in analytics or AI is fragile. We establish who owns what, which data is trustworthy, how it flows, and how it is protected.

DAMA-DMBOK Data Contracts Data Catalog FinOps AWS / Azure / GCP GDPR LFPDPPP
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02
Analytics & BI
Reliable data turned into visible decisions.

Executive dashboards, business KPIs, self-service analytics and automated reports. This layer transforms infrastructure into business value — from C-level to operational teams. The goal: stop making important decisions by intuition.

Power BI Tableau Looker QuickSight Generative BI Data Storytelling Executive Reporting
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03
Advanced Analytics
From describing the past to anticipating the future.

Predictive models, forecasting, customer segmentation and anomaly detection. This layer goes beyond reporting what happened — it anticipates what will happen and detects what shouldn't be happening. Designed for teams that already have reliable data and want to extract maximum value from it.

Python Scikit-learn Databricks Snowflake Forecasting Segmentation Anomaly Detection
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04
AI Solutions
Applied AI for real problems. Not chatbots.

Autonomous agents, LLMs applied to specific processes, intelligent automation and custom AI solutions. Designed for each client's real context, with AI governance built in from the start and clear ROI metrics from day one. We don't promise magic — we deliver measurable outcomes.

AI Agents Applied LLMs Automation Responsible AI AI Governance Custom Solutions
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03 — The engagement path

What it actually looks like — phase by phase.

Every engagement follows the same logic: diagnose first, then design, build and scale. The pace adapts to your organization. The sequence does not.

The EPISTEME Engagement Path — 4 phases: Diagnose, Design, Build, Scale

04 — Who we serve

Ocho perfiles de cliente.

Each client enters where their maturity allows. All of them start with the diagnosis.

CDO / Director de Datos · Empresa mediana 200–1,000 empleados
Pain
They have data but no governance. Each area reports different numbers. Nobody knows who owns what.
Proposal
I design and implement your data governance framework in 90 days — data ownership, quality, catalog and usage policies. DAMA-DMBOK applied to your reality, not a template. With a clear path toward trustworthy analytics.
Credential
Digital@FEMSA (GCP), consulting 2025 — Data Contracts YAML, DAMA-DMBOK, Generative BI policies. Team depth: enterprise governance in first-tier financial and insurance organizations.
Lines
Data Foundation → Analytics & BI
CFO / VP Finance · Cloud infrastructure company
Pain
Cloud spend grows but nobody can justify it by business unit. The data area is an opaque cost center.
Proposal
I turn your data infrastructure into a financially traceable asset — FinOps with tagging, cost accountability by domain, executive dashboards that connect technical spend to real business ROI.
Credential
FinOps and AWS tagging, high-volume financial modeling at Digital@FEMSA. Team depth: 15+ years in financial sector architecture and pipeline cost optimization.
Lines
Data Foundation → Analytics & BI → Advanced Analytics
CEO / General Director · Company in digital transformation
Pain
Invirtieron en datos pero no ven ROI. El equipo técnico y el negocio no se entienden. Las decisiones siguen tomándose por intuición. Contrató una firma grande, el proyecto se fue en presentaciones, el equipo rotó y los datos siguen igual.
Proposal
I design the strategy that connects your technical investment to concrete decisions — analytics roadmap, AI use cases prioritized by real impact, executive narrative that aligns the entire organization.
Credential
C-level BI at FEMSA, AB InBev and Kellogg. Newsletter BTA (1K+ subscribers). AI Ethics research line. Team depth: transformation portfolio management and global-scale ML outcomes.
Lines
Data Foundation → Analytics & BI → Advanced Analytics → AI Solutions
CTO / VP Tech · CPG · Retail · Fintech
Pain
Data lake nobody uses well. Fragile pipelines. ML models that never reach production or that the business doesn't adopt.
Proposal
I audit and redesign your data architecture with a focus on truly usable data products — reliable pipelines, models in production, autonomous agents for operational workflows. Stack-agnostic: AWS, Azure or GCP.
Credential
Conekta, AB InBev, Kellogg, Insight Global (1M+ profiles). Team depth: pipeline engineering, MLOps at scale, and DWH architecture across the full stack.
Lines
Data Foundation → Advanced Analytics → AI Solutions
HR / L&D Director · Growing data teams
Pain
Analysts and data scientists with technical skills but no data culture, governance understanding, or executive communication ability.
Proposal
Executive workshops on data governance, applied analytics and responsible AI — designed by someone who has operated it at Walmart, Kellogg and AB InBev. Practical training, not theoretical. Teams that understand and apply.
Credential
Verified teaching: Tec de Monterrey, ITAM (Data Science MSc), IBERO. Newsletter BTA. PhDc in Biomedical Sciences. Team depth: organizational design and governance frameworks that make training stick.
Lines
Data Foundation → Analytics & BI
SME Owner / General Director · Small and mid-size company
Pain
Want to adopt data and AI but don't know where to start. They've seen failed projects. Large firms don't attend them or charge unreachable prices. They fear investing badly.
Proposal
I democratize data transformation for mid-size companies — no oversell, no empty chatbots. We build the right foundations first: sustainable infrastructure, minimum viable governance, analytics that generate value, and AI use cases with measurable ROI. An ecosystem that scales, not a solution that expires in 6 months.
Credential
Startups (Conekta, Linio) to Fortune 500. Built from zero. A full team of 5 senior specialists — deployable by phase, scoped to your size.
Lines
All lines, by phases — entry point defined by diagnosis
Legal / Compliance / DPO · Any industry
Pain
Adopting AI and data without understanding legal, ethical and regulatory implications. Risk of GDPR / LFPDPPP non-compliance, or algorithmic biases with reputational consequences.
Proposal
Data strategy audits with a compliance and ethics lens — I identify real risks before they become regulatory or reputational problems. Design of responsible AI policies adapted to your context, aligned with GDPR and Mexico's Federal Data Protection Law.
Credential
GDPR in verified stack. Generative BI policies for Amazon Q + QuickSight. AI Ethics research line. Newsletter BTA. Team depth: governance and compliance frameworks across regulated industries.
Lines
Data Foundation → AI Solutions (governance & compliance focus)
Director Comercial / VP Ventas · Cadena regional en expansión
Dolor
Las decisiones de dónde abrir la próxima sucursal se toman por intuición o experiencia, no por datos. Nadie sabe cómo evaluar si una ubicación es realmente viable antes de firmar el arrendamiento.
Propuesta
Analytics de mercado + datos territoriales para priorizar expansión con evidencia — análisis de demanda, saturación comercial y perfilamiento poblacional a nivel de manzana para las ciudades que estás evaluando. Coordinado con GeoEpisteme.
Credencial
Plataforma de inteligencia territorial GeoEpisteme — 6M+ establecimientos geolocalizados, 1.6M manzanas, 32 estados. Análisis de selección de sitio y saturación comercial para clientes en retail, hospitalidad y servicios.
Líneas
Analytics & BI → GeoEpisteme

¿No estás seguro qué perfil corresponde a tu organización? Comienza con el diagnóstico — eso nos lo dirá a ambos.


05 — Why EPISTEME

Lo que nos diferencia.

Nuestra posición

No somos McKinsey. Tampoco queremos serlo. Somos la opción para quienes necesitan el mismo nivel de rigor sin el overhead de una firma global.

Diagnosis first

We never propose solutions before understanding the real starting point.

Proportional solutions

No oversell. No overengineering. Solutions matched to actual size and maturity.

Ethics and compliance by design

Not added at the end. Integrated from the first conversation.

Real knowledge transfer

Clients leave with capabilities, not just deliverables.

Accompaniment, not consulting-and-goodbye

We stay through implementation. The project ends when it works, not when it's delivered.

LATAM perspective

We understand the regulatory, cultural and market context of the region. Data democracy for organizations of all sizes.

Ready to start?

Every engagement starts with a conversation. Tell us where you are — we'll tell you honestly where to go.

Schedule a diagnosis →