Analytics and AI

Artificial Intelligence (AI) and analytics are indispensable in propelling digital transformation efforts, particularly influencing Enterprise Resource Planning (ERP). With the rapid progression of technology and computing power, organizations across various sectors are generating immense amounts of data daily, impacting ERP processes. The significance of this data lies in its potential to extract actionable insights, facilitate strategic planning, and drive innovation within the ERP framework. In this context, AI and analytics emerge as pivotal tools, facilitating the extraction of value from the vast amounts of data generated and collected across the enterprise, optimizing ERP functionalities. Analytics is commonly categorized into descriptive, prescriptive, diagnostic, and predictive types, enhancing the ERP landscape. AI algorithms contribute not only to predictive and prescriptive analytics but also empower companies to develop innovative ERP capabilities, exemplified by advancements such as Industry 4.0.

Data and Data Management

SAP Business Data Cloud Turns ERP Data Readiness Into the Real Test

SAP Business Data Cloud promises a governed foundation for analytics and AI—but ERP data readiness, fragmented legacy architectures, and budget pressure mean most organizations aren't ready to capture that value. With 45% still evaluating BDC and only 3% achieving a unified data layer, partner execution and data context are now the deciding factors.

Cloud Platform and Technology

SAP Business Data Cloud Raises the Stakes for ERP Data Readiness

SAP Business Data Cloud positions itself as the governed foundation for AI-driven analytics. But adoption is still early, data fragmentation remains the norm, and only 3% of organizations have achieved a unified data layer. This article examines what ERP teams need to address before BDC can scale: semantic preservation, BW migration maturity, partner capability, and governance frameworks for agentic AI.

Financial Management

BlackLine: Agentic Finance Needs a Close Readiness Test

AI will not fix a financial close process still built on manual journals, spreadsheet reconciliations, and after-the-fact audit documentation. BlackLine's new benchmark guide defines the seven close readiness metrics finance teams need to measure before agentic automation can scale safely and makes the case that governance and observability must come before AI deployment.

Analytics and AI

SAP and IBM Say AI-Ready ERP Still Starts with Trusted Infrastructure

SAP and IBM are positioning ERP infrastructure as the foundation of AI readiness. New customer wins—including JYSK, GBM, DIFARE Group, and Plastilene Group—show how SAP Cloud ERP Private on IBM Power Virtual Server gives enterprises a secure, scalable path to modernization without abandoning the resilience of IBM Power.

Global tax management architecture connecting ERP data, e-invoicing, tax engines, analytics, and compliance governance.

Governance, Risk, and Compliance

SAPinsider’s New Global Tax Report Shows Why ERP Data Is at the Center of Compliance

SAPinsider’s 2026 Global Tax Management benchmark shows that tax compliance is becoming an ERP data problem, with AI, e-invoicing, regulatory change, and fragmented systems forcing tax, finance, and IT leaders to rebuild the foundation.

SAP AI budget discipline for hiring and travel

ERP Strategy and Planning

After SAP’s Leadership Reorg, AI Overhaul Places New Scrutiny on Hiring and Travel

SAP is reallocating its operating budget by tightening hiring, limiting travel, and reviewing supplier spending to prioritize investments in AI capabilities and technologies, signaling a strategic shift towards enhancing its AI-driven products and services while managing operational costs.

ERP AI readiness gap after S/4HANA migration - digital brain with question mark on enterprise data dashboard

Analytics and AI

ERP AI Readiness FAQ: Why SAP S/4HANA Migration Alone Will Not Get You There

Most ERP teams treat S/4HANA go-live as the finish line for transformation—but it is only the starting line for AI readiness. This FAQ explores why migration alone is not enough, what data and cloud foundations are missing, and how ERP leaders can build the architecture required to move AI from pilot to production.

INPEX energy transformation SAP Cloud ERP Private modernization for energy transition

Cloud Platform and Technology

INPEX Rebuilds Its SAP Core for a More Volatile Energy Market

Japanese energy company INPEX has gone live on SAP Cloud ERP Private, replacing its 2008-era IBOS system as part of INPEX Vision 2035—a strategy to build a more agile, data-driven management foundation capable of supporting energy transition into hydrogen, ammonia, carbon capture, and renewables. Partnering with ABeam Consulting and using a fit-to-standard SAP approach, INPEX is laying the groundwork for AI-driven operational efficiency across its global operations.

Applied Materials finance transformation using SAP Taulia Dynamic Discounting for supplier payments

Business Process Management and Automation

Applied Materials Is Finding Finance Transformation in Faster Supplier Payments

Applied Materials is using SAP Taulia Dynamic Discounting as part of its Agile Finance program to accelerate supplier payments, improve supplier liquidity, and build a scalable, AI-first finance operating model. The initiative shows how enterprise working capital programs can evolve from transactional efficiency tools into strategic platforms that deliver both supplier value and measurable financial returns for large manufacturers.

Analytics and AI

ERP’s AI Skills Gap Is Becoming the Real Transformation Bottleneck

ERP vendors like SAP are shipping AI features faster than teams can absorb them. The SAP AI skills gap—with 91% of organizations using AI but only 17% embedding it in core workflows—is now the defining bottleneck to real ERP transformation.

AWS agentic AI SAP ERP exceptions - MCP agentic ERP infrastructure with AgentCore

Analytics and AI

MCP Is Becoming the Plumbing of Agentic ERP—ERP Leaders Need to Understand It

MCP is emerging as the protocol layer that lets AI agents discover and call enterprise tools, data sources, and workflows. For ERP leaders, the opportunity is lower integration friction. The risk is that access control, auditability, and cost discipline move closer to the agent boundary.

Analytics and AI

Nokia’s ERP Overhaul Shows Why AI Ambitions Are Moving to the Hyperscaler Layer

Nokia has signed a multi-year RISE with SAP agreement to consolidate multiple ERP systems into a unified SAP S/4HANA landscape hosted on Microsoft Azure, using clean-core principles and SAP's transformation methodology to prepare its global business backbone for embedded AI, operational resilience, and continuous cloud innovation.

ERP Strategy and Planning

SAP Announced Product Leadership Reorganizations Around AI and the Autonomous Suite

SAP is reorganizing product and engineering leadership around the SAP Business AI Platform and Autonomous Suite—a structural shift that puts AI delivery accountability at the center of its cloud ERP roadmap and signals the end of siloed product development.

Analytics and AI

GenAI in ERP Needs a Smaller Starting Point and a Harder Business Proposition

Enterprise leaders, while ambitious in their generative AI strategies, face a significant gap between their AI aspirations and actual production adoption, as illustrated by Mukesh Kumar's insights on targeted automation in ERP systems addressing specific, high-impact problems.

Top ERP Today stories and H1 2026 enterprise technology trends across AI, cloud, SAP, robotics, and infrastructure

ERP Strategy and Planning

10 Stories That Defined Enterprise Tech in H1 2026 and What They Say About the ERP Market

ERP Today’s most-read stories in the first half of 2026 reveal a market moving from AI enthusiasm into harder questions about pricing, governance, infrastructure, cloud costs, and operational execution.

Spend Management and Procurement

SAP Procurement Agents Are Reaching the Front Door of Spend Management

SAP's Joule AI capabilities, set for general availability across Ariba and Fieldglass in June 2026, aim to enhance procurement processes by automating intake, contract creation, and workforce operations while urging spend teams to ensure proper governance and integration before widespread adoption.

Secure enterprise corridor representing Microsoft Power Platform governance and AI agent access

Governance, Risk, and Compliance

Microsoft Power Platform Narrows the Access Gap for ERP Agents

Microsoft's June 2026 Power Platform updates introduce Advanced Connector Policies that govern AI agent access to SAP systems at the action and MCP server level. ERP leaders must understand what the new controls mean for low-code automation, connector visibility, and enterprise AI compliance.

Application Development and Integration

Can AI Break the ERP Change-Order Cycle? Tessera Labs Just Raised $60M to Try

Tessera Labs’ $60 million funding round puts a spotlight on AI-native ERP modernization, raising a new question for CIOs: how much of the migration, data, code, and documentation work that once required large consulting teams can now be automated without weakening governance?

Enterprise Architecture

Who Governs AI Agents When Workflows Cross Platforms?

As AI agents expand across ERP, cloud, and workflow platforms, enterprise leaders face a critical governance challenge: who owns accountability when data, models, and audit trails are fragmented across multiple systems. This analysis explores the control plane problem and what ERP teams must do to prevent agent sprawl.

Cloud Platform and Technology

Can Headless ERP Change the Migration Math?

Headless ERP is emerging as a third option for organizations facing SAP ECC end-of-life deadlines: rather than migrating the core or abandoning it, enterprises can layer an AI-driven agentic interface over APIs while keeping the legacy system running. This analysis examines the architecture, risks, and real-world implications for CIOs weighing the headless ERP migration equation.

Analytics and AI

SAP’s AI Partnership Sprint Shows What Its Autonomous Enterprise Still Has to Prove

SAP’s recent partnerships with Google Cloud, n8n, Anthropic, AWS, Cohere, Mistral, and Parloa show how the company is turning its Autonomous Enterprise strategy into a modular AI architecture built around data access, orchestration, model choice, and governed business context.

Analytics and AI

EY’s Own ERP Migration Raises the Bar for Transformation Partners

EY's transition to SAP S/4HANA Cloud Private Edition on Microsoft Azure positions the firm as a credible transformation partner — one that has lived the operational, data, and change-management challenges it now advises on. This analysis explores what EY's internal migration means for ERP buyers evaluating systems integrators for their own RISE with SAP journeys.

Finance automation and treasury management

Financial Management

Perplexity Tests the Real Finance AI Question: Can the Agent Show Its Work?

Perplexity has introduced a finance-specific AI agent designed to provide trusted data integration, robust audit trails, and prebuilt workflows for corporate finance teams, emphasizing the importance of traceability for meeting audit and reporting requirements.

Analytics and AI

SAP Says AI Could Replace Its Coders—Customers Should Watch What Comes Next

Christian Klein’s claim that SAP could have no human software developers within three to four years is not just a workforce prediction. It is a signal of how SAP believes enterprise software will be built, governed, supported, and sold in the AI era.

Analytics and AI

Where Does AI Adoption Really Start? SAP Discovery Center Has the Answer

The SAP Discovery Center serves as a crucial self-service portal for enterprises like Agilent and Sutherland, providing essential resources and reusable architectures to streamline AI adoption and minimize risks, ultimately helping organizations select strategic starting points for their AI initiatives.

CRM and Customer Experience

SAP Is Pushing Autonomous CX Expansion with Parloa, Google Cloud, AWS Partnerships

SAP's June 15 partner brief urges its ecosystem to expedite the rollout of Autonomous CX, integrating various SAP platforms and enhanced through new partnerships with tech giants, aiming to streamline customer experience workflows and drive industry-specific solutions.

Analytics and AI

SAP Moves Agent Orchestration into Joule Studio with n8n Deal

SAP has acquired a minority stake in the Berlin-based automation platform n8n at a $5.2 billion valuation, integrating it into Joule Studio to enhance AI workflows in its Business AI Platform while targeting broader developer adoption and improved orchestration strategies for enterprise systems.

Analytics and AI

Harbour Energy’s SAP Tool Chain: The Architecture Behind Acquisition-Speed Integration

Harbour Energy is leveraging a connected SAP tool chain to manage its acquisition-led growth across multiple ERP systems, prioritizing visibility, process alignment, and integration speed to maintain agility while expanding globally.

Analytics and AI

The Next Enterprise AI Wave Will Reach Beyond Agents, Says SAP Labs US Managing Director

At SAP Sapphire, Global Head of Research & Innovation Yaad Oren discussed SAP's forward-looking exploration of emerging technologies like AI, data, user experience, robotics, quantum computing, and cloud architecture, urging customers to embrace current AI capabilities while also preparing for future innovations.

Accelerating Oracle modernization with Tricentis solutions

Cloud Platform and Technology

Victrola Cuts P&L Reporting Time by 94% After SAP Cloud ERP Migration

Victrola has successfully transitioned from SAP ECC to SAP Cloud ERP, reducing its profit-and-loss reporting time from four hours to 10-15 minutes and eliminating over 250 hours of finance-related work, while aligning its operations with new market demands and modernizing its data management.

ERP Strategy and Planning

SAP Sapphire Interview: AI Agents Will Force HR to Rethink Workforce Management, Says SAP SuccessFactors CRO

SAP SuccessFactors is addressing the pivotal question of how to manage AI agents within the workforce, emphasizing the need for strategic workforce planning and skill development, as companies navigate the complexities of integrating AI into HR functions and organizational structures post-COVID.