DISRUKTECH RESEARCH

Research for decisions that cross SAP, AI and finance.

Frameworks, reference architectures and articles on SAP transformation, enterprise AI agents and finance operations, published by DISRUKTECH Research.

RESEARCH LINES

Three lines of work.

01

Enterprise Agent Architecture™

How AI agents connect context, knowledge, reasoning and tools under control.

  • Published framework
02

SAP + AI

Controlled agent action inside SAP processes, from Joule to custom agents.

  • Applied research
03

Intelligent Finance & Banking

Bank-to-ERP flows, controls and finance operations.

  • Domain research
ARTICLES

Latest articles.

Enterprise AI ·

SAP Joule Resources: An Enterprise Guide to Joule, Joule Studio and AI Agents

Official SAP Joule resources and a practical framework for choosing embedded AI, Joule Studio, a custom agent on SAP BTP—or no agent at all.

Arturo Espinosa
SAP ·

SAP S/4HANA Conversion: Greenfield vs. Brownfield

A strategic comparison of migration paths for SAP enterprise users evaluating target architecture options.

Arturo Espinosa
Enterprise AI ·

SAP AI Beyond Joule: Ecosystem and Enterprise AI

Why Joule is only the conversational entry door, and how SAP is building an ecosystem of agent-to-agent collaboration across enterprise systems.

Arturo Espinosa
SAP ·

The Executive Guide to S/4HANA Migration

Why large ERP migrations run late — and a 5-phase approach to align architecture, data and execution.

DISRUKTECH Insights
Enterprise AI ·

AI in the Enterprise: Beyond Hype, Into Production

Predictive models, AI assistants, and intelligent automation built for rapid operational deployment and clear business outcomes.

DISRUKTECH Insights
Cloud & Integration ·

Cloud Architecture for Cross-Border Operations

Multi-cloud strategies and data governance for enterprise technology platforms operating across the U.S. and Latin America.

DISRUKTECH Insights
Software & Data ·

Why Your Enterprise Portal Is Losing You Money

The hidden operational friction of outdated portals — and how modern API-first platforms drive user adoption and efficiency.

DISRUKTECH Insights
PUBLISHING STANDARD

Clear authorship. Honest status.

Named author

Every piece names its author or the DISRUKTECH team.

Stated status

Framework, article or reference design, never implied peer review.

Separated from sales

Research does not contain client or metric claims.

Samples labelled

Illustrations use fictitious data and say so.

Dated

Articles show their publication date.

Citable

Frameworks include a suggested citation.

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