Welcome to a new tech radar, June 2026. This week, the pattern is unmistakable: artificial intelligence has stopped asking for permission to enter business and has established itself as the new software layer that is reorganizing ERP, processes, and even the field. The question is no longer whether to adopt it, but how ready your house is to capture its value. These are the signs that separate those who lead from those who observe.
SAP News
SAP confirms SAP Business One 11 for 2027 and keeps 10.0 [Alto]
SAP has put an end to rumors of discontinuation: version 11 is coming in 2027 with at least five years of mainstream maintenance, while 10.0 remains fully valid. For industrial SMEs, this is pure investment security. The ERP supporting their operations has a guaranteed horizon and does not force rushed migrations. It allows for cool-headed modernization planning, rather than reacting out of fear. View complete roadmap.
The SAP Business One 2026 roadmap brings AI to the core and a new Fiori Web Client [Alto]
The 2026 roadmap incorporates AI capabilities directly into workflows and redesigns the web client with SAP Fiori principles. It also adds a cloud control center for multitenant environments. The business impact is concrete: less user friction, automation where it hurts most, and a foundation for managing multiple subsidiaries from a single dashboard. The result is a real reduction in IT costs and closing times. Roadmap details.
The countdown to S/4HANA: 2027 marks the end of SAP ECC support [Alto]
With mainstream support for SAP ECC ending in 2027, 2026 is the last realistic window of opportunity to migrate without a rushed, high-risk project. 85% of companies with on-premise systems are already preparing to make the leap to the cloud. Postponing the decision does not save money. It shifts the risk to a timeline that no longer allows for mistakes or improvisation. Three routes to migrate.
SAP launches the SAP Business AI Platform at Sapphire 2026 [Alto]
SAP consolidated BTP, Business Data Cloud, and Business AI into a single platform positioned as the foundation of the Autonomous Enterprise. Joule Studio 2.0 begins deployment in June 2026, and the AI Agent Hub will be available in the third quarter. For leaders, this reduces fragmentation. Instead of stitching together loose tools, enterprise AI is governed from a single, coherent architecture. Platform analysis.
BTP and Analytics Dominate SAP Investment Priorities [Medium]
The 53% among leaders identifies development in SAP BTP as the most critical skill to strengthen this year. The 48% ranks it as an investment priority beyond core ERP, and the 43% focuses efforts on analytics with SAP Analytics Cloud. The message to management is clear: value no longer lies solely in processing transactions, but in integrating, extending, and making decisions based on data. Whoever masters that layer gains the competitive edge. Investment trends.
2. Business Improvement and Operational Excellence
From Process Mining to Real-time Process Intelligence [Alto]
In 2026, organizations will migrate from traditional process mining to process intelligence with predictive analytics. These systems detect bottlenecks and deviations before they cause damage. This completely changes management: we move from reviewing what has already failed to anticipating it. On the plant floor, this means fewer unplanned shutdowns and corrective decisions made hours, not weeks, in advance. 10 Trends 2026.
AI promises between 25% and 55% in additional operational productivity [Alto]
Companies that apply AI to operational excellence project productivity gains ranging from 25% to 55%, depending on the industry and level of automation. This figure raises an uncomfortable question for any manager: If our competitors achieve that range and we don’t, how much profit margin are we quietly giving away each quarter? The gap widens quickly and rarely closes. Excellence Trends with AI.
The future is human-guided, AI-enabled, not blind automation. [Medium]
The most successful organizations combine real-time insights with skilled teams that interpret data and act with judgment. The lesson for transformation is profound: technology amplifies human judgment, it doesn't replace it. Investing solely in software, without elevating team capabilities, produces pretty dashboards and decisions that are just as slow as before. The 2026 Plan.
Process excellence scales across the entire company [Medium]
In 2026, the improvement will cease to be an isolated pilot project and will be deployed company-wide, across departments, regions, and systems. For productive companies, this means that local improvements are only valuable if they become a replicable standard. The real return appears when an optimization in one line becomes a policy for the entire operation. How to scale improvement.
3. Digital Transformation: The June 2026 Tech Radar Marks the End of the Experiment
From experimentation to execution: Real pressure for ROI in AI [Alto]
2026 marks the end of AI as an experiment. Budgets are rising, and with them, the demand to demonstrate concrete returns. More than 80% of companies will have tested or deployed generative AI applications. Digital transformation is no longer measured by the number of pilot projects launched but by business results that can be defended before the board of directors. The narrative alone is no longer enough. Transformation Status 2026.
Employee productivity surpasses customer experience as a priority [Medium]
For the first time, improving employee productivity is displacing customer experience as the number one goal of digital transformation. The 2026 workplace is a mixed ecosystem where people, processes, AI agents, and APIs collaborate. The leadership challenge is enormous: roles must be redesigned, not just new tools installed on old structures. Five key trends.
Private 5G is consolidating as the basis for Industry 4.0 [Medium]
According to the 87% survey of organizations that have adopted private and edge networks, they report a return on investment in less than a year, with installation costs lower than those of alternatives. For the industry, robust on-site connectivity is no longer a luxury. It has become the foundation upon which sensors, automation, and real-time analytics operate. Without that foundation, everything else is a house of cards. Transformation drivers.
AI Governance: The New Regulatory Frontier [Medium]
With the EU AI Act coming into effect and AI becoming more autonomous, companies will need to prioritize governance frameworks, AI gatekeepers, and accountability standards for agents. Mature transformation is no longer just asking what AI can do. It's asking how we responsibly, traceably, and audibly control it, before the regulator does it for us. Tech Trends 2026.
4. AgTech and Agribusiness Processes
The Agricultural IoT Market Toward USD 54 Billion by 2030 [Alto]
The IoT market in agriculture, valued at USD 28.65 billion in 2024, is projected to reach USD 54.38 billion in 2030, with a CAGR of 10.5%. This provides farmers with real-time visibility into soil moisture, plant stress, and machinery performance. For the agribusiness sector, it translates field data into decisions regarding irrigation, harvesting, and logistics with a level of precision that was unthinkable until recently. Agricultural IoT Guide.
AI that explains its recommendations to the producer [Alto]
In 2026, agricultural AI will analyze soils, microclimates, and plant stress signatures to deliver field-specific recommendations. The novelty is generative AI, which explains the "why" and guides the next step. It doesn't decide for the farmer; it sharpens their judgment. The impact is faster adoption because the producer understands the logic behind the advice and learns to trust the tool. AgTech Innovations 2026.
Agricultural robotics is specialized by crop. [Medium]
Robotics is becoming more deeply integrated with the AgTech stack: variable rate, AI scouting, and real-time sensing. Machines are becoming specialized for high-value orchards, vineyards, and vegetables. For labor-intensive seasonal operations, this directly addresses two real pain points: labor shortages and constant cost pressures. AgTech Trends.
Over $15 billion invested in AgTech by 2025 [Medium]
Investment exceeded USD 15 billion in 2025, a strong sign of confidence in AI, IoT, robotics, and precision platforms. At the same time, 86% of distributors plans to expand its offering of bio-inputs in 2026. Agribusinesses that fail to digitize will find themselves competing under the rules of a market that has already changed—and that won’t wait for those left behind. AgTech Market Report.
5. Applied AI in Business: The Heart of the Technology Radar June 2026
Spending on AI agent software will reach $206 billion in 2026 [Alto]
Gartner projects that spending on AI agent software will reach approximately USD 206.5 billion in 2026, a 139% increase from 2025. It is the fastest-growing segment of all enterprise software. For leaders, the question is no longer whether to adopt agents. It is now much more specific: which part of the operation should be automated first to capture value without losing control. Gartner Forecast.
The ROI Paradox: 60% Invests Millions, but Only 22% Sees the Expected Return [Alto]
Fivetran’s 2026 Agent Readiness Index shows that only 15% of organizations are ready for production, even though nearly 60% are investing millions. ISACA reports that only 22% saw the expected ROI. The strategic lesson is clear: the gap lies not in technology, but in data, governance, and processes. Investing without laying the groundwork is simply a waste of budget. Adoption Statistics.
The 40% for enterprise apps will feature AI agents by 2026 [Medium]
Gartner predicts that 40% of enterprise applications will incorporate AI agents specialized in specific tasks by 2026, up from less than 5% in 2025. This redefines our relationship with software. Applications are no longer passive tools but are becoming collaborators that perform tasks. The cultural shift this requires will be as great as—or greater than—the technical shift. Buyer's Guide 2026.
AI agents consolidate as a new software layer [Medium]
When AWS, Google Cloud, IBM, Microsoft, GitHub, Databricks, and BCG agree on framing agents as a new software layer, it's a market structure, not a marketing coincidence. For traditional enterprises, this means something transformative: the decision on an agent platform will be as strategic as choosing an ERP was in the past. News agencies.
Conclusion: The 3 Strategic Signals of the Week
We close this tech radar June 2026 with the three signals that cut through the noise and deserve a spot on your decision-making agenda.
AI crossed the threshold of experimentation. With projected spending on agents at USD 206 billion and SAP consolidating its entire stack onto a single AI platform, the conversation has shifted from whether to how to govern it. Staying in the pilot phase is already falling behind.
The ROI paradox is the real opportunity. The fact that the 60% is underperforming and only the 22% is meeting its expected return isn’t bad news for those who know how to interpret it. It confirms that the competitive advantage lies in preparing data, processes, and people—not in buying more technology. There’s enormous opportunity there for those who execute methodically.
The SAP ECC clock is running. With 2027 as the support deadline, this is the last year to migrate to S/4HANA without compressed risk. And for SMEs, a SAP Business One with a guaranteed roadmap allows for modernization without panic.
Before going deeper, I recommend reviewing previous work on SAP as a strategic investment, about Applied artificial intelligence, about Agricultural technology and the rest of the analysis in the Blog and the Technologies section.
The technology of 2026 rewards those who have an organized home and punishes those who automate chaos. The question isn't how much AI you're going to buy this year, but how ready your data and processes are for that AI to finally mean money and not just noise.
