Five Questions CIOs Should Ask After SAP Sapphire Orlando 2026

Something felt different at Sapphire this year. The ERP and S/4HANA conversations were still there, but they'd moved to the background. Every session, every hallway conversation, every customer roundtable kept circling back to the same things: AI agents, orchestration, and what SAP is calling trusted business data.

SAP Joule was everywhere. Discussions around SAP Business AI, SAP Business Data Cloud, clean core strategies, and AI-driven automation surfaced in nearly every keynote and customer session I attended.

But there was a tension underneath all that excitement. In the conversations I had with customers and partners (not in the keynotes, but in the margins) the same worries surfaced again and again: fragmented landscapes, messy integrations, data nobody fully trusts. Those discussions raised five important questions for CIOs.

1. Is Our ERP Landscape Ready for AI?

One of the biggest announcements at Sapphire centered around SAP’s vision for the ‘Autonomous Enterprise.’ SAP presented AI agents that can coordinate workflows, support decisions, and automate operational processes across the organization.

That vision has a hard dependency: your ERP has to be in reasonable shape. AI agents aren’t magic. They inherit whatever mess exists underneath them. If your SAP environment is heavily customized, your integrations are brittle, or your master data is unreliable, scaling AI safely becomes a genuine problem, not a theoretical one.

ERP Today described Sapphire as a strong signal of SAP’s growing focus on AI, orchestration, and enterprise data platforms. That transition from a traditional ERP vendor to an AI-first enterprise platform company was visible everywhere throughout the event. AI has clearly moved from experimentation into operational planning.

2. Can We Trust the Data Behind AI Decisions?

Trusted business data surfaced repeatedly throughout Sapphire. SAP emphasized the role of contextual data in AI-driven decision-making. AI agents need access to business relationships, process context, operational history, and governance structures before they can generate reliable outcomes.

Poor data quality doesn't disappear when you add AI on top. If anything, it becomes harder to catch. The manual checkpoints that used to slow errors down are gone, and problems can spread across automated workflows before anyone realises something is wrong.

Several customer conversations at Sapphire reflected exactly that concern. Many organizations are trying to modernize their SAP landscape while simultaneously improving governance and data quality.

For companies investing in SAP Business AI, SAP Business Data Cloud, or AI-driven automation, data validation and quality assurance become increasingly important operational disciplines.

At TTC Global, we see this shift every day. Testing now extends far beyond application validation. Organizations want confidence in the reliability of their business processes, integrations, and operational data.

3. Is S/4HANA Migration Still Urgent?

Absolutely. The discussion around S/4HANA migration has evolved considerably, though. A few years ago, most conversations focused on ECC deadlines and technical modernization. Sapphire connected S/4HANA directly to AI readiness, clean core strategies, and continuous innovation.

SAP repeatedly linked cloud ERP modernization to AI adoption. Organizations still running older ECC environments may struggle to support many of the capabilities SAP demonstrated during Sapphire. AI-driven orchestration, intelligent automation, and continuous delivery all depend on modernized and standardized environments.

At the same time, many companies remain in the middle of their S/4HANA journey. Migration complexity, integration challenges, business continuity concerns, and testing requirements continue to slow projects down.

That creates additional pressure on quality engineering teams. Regression testing, automation, and risk-based validation play a critical role in keeping transformation initiatives under control while reducing hypercare and operational disruption.

4. How Do We Govern Autonomous Processes?

Alongside the excitement around AI agents, governance became one of the most discussed topics during the event. Organizations are enthusiastic about autonomous workflows, but many leaders are also asking difficult questions around accountability, explainability, auditability, and operational visibility.

Forrester described SAP’s autonomous enterprise vision as credible, while also warning enterprises to think carefully about concentration risk and long-term architectural dependency.

That concentration risk point landed with a lot of the people I spoke to. The enthusiasm for autonomous agents is real, but so is the anxiety: who's accountable when an AI-driven process goes wrong? How do you audit a decision that no human made? Those questions don't have easy answers yet, and SAP didn't pretend they do.

Those concerns strongly connect with quality engineering. Governance, observability, testing, and validation all contribute to operational trust.

5. Do We Have the Quality Engineering Maturity for Continuous Change?

One of my strongest takeaways from Sapphire was the speed at which enterprise environments are evolving. AI-driven automation, cloud ERP, continuous updates, and clean core strategies all increase the pace of change inside SAP landscapes. That pace creates opportunities, but it also increases operational risk.

In connected and integrated environments, defects and process inconsistencies can spread quickly across systems and business functions. That reality raises the importance of continuous testing, intelligent automation, integration validation, and quality engineering maturity.

Organizations adopting AI-driven SAP strategies need stronger testing frameworks, better observability, and governance models that can support continuous transformation without compromising resilience.

Flying back from Orlando, the hallway conversations stuck with me as much as the keynotes. The CIOs and IT leaders I spoke with are genuinely energized by where SAP is heading. The ambition is clear, the technology is moving fast, and most organizations I spoke with are actively figuring out how to bring that vision to life inside their own environments. The technology is evolving quickly. Building the operational confidence to support it may prove to be the harder part.

Want to discuss AI readiness, S/4HANA transformation, or quality engineering in your SAP landscape? Get in touch with the team at TTC Global.