Cloud Wars Live with Bob Evans

In this episode of Cloud Wars Live, Bob Evans sits down with Bonnie Tinder, Founder and CEO of Raven Intelligence, to unpack a whirlwind week in enterprise software. As AI reshapes the landscape at breakneck speed, the two explore major announcements from Oracle and Workday. Bonnie offers sharp analysis on the strategic differences between Workday’s user-centric AI assistant approach and Oracle’s autonomous, end-to-end agentic applications.

Episode 59: Enterprise AI Showdown

The Big Themes:

Oracle’s Autonomous AI Vision: Oracle is taking a more aggressive approach with its agentic AI applications, introducing 22 AI-driven tools that can execute entire business processes. Unlike assistive AI, Oracle’s agents can reason, decide, and act with minimal human intervention. This represents a shift toward AI as a “digital workforce,” capable of handling complex, cross-functional operations.

End-to-End Business Process Automation: One of Oracle’s biggest differentiators is its ability to automate complete workflows across multiple business functions. For example, designing a product while simultaneously evaluating supply chain risks and costs. This eliminates the traditional handoffs between departments and enables a holistic, real-time view of operations. By integrating data across systems and processes, Oracle’s AI can deliver more comprehensive insights and faster execution — potentially transforming how enterprises manage complex workflows.

ROI and Consumption-Based Models: AI is also changing pricing and operating models. Workday’s shift toward consumption-based pricing means customers pay based on usage rather than per-employee licensing. This can make adoption more flexible and cost-effective, but it also requires careful ROI analysis. Companies must consider not just technology costs, but also potential workforce changes, efficiency gains, and redeployment of employees. Understanding the financial impact of AI investments is critical for long-term success.

The Big Quote: “The high-risk areas you don't want to touch necessarily. You want to look at the high volume potentially first, to fully automate."

More from Bonnie Tinder:

Connect with Bonnie on LinkedIn.

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In today's Cloud Wars Minute, I review SAP’s move toward AI usage-based pricing and what it means for the future of SaaS, customer engagement, and enterprise software delivery.

Highlights

00:04 — SAP CEO Christian Klein has announced the company intends to shift away from a traditional subscription model towards a pricing model based on AI usage. Klein stated that pricing must reflect the actual usage of AI by customers now.

00:23 — Ultimately, Klein recognizes that the existing subscription model, which is a traditional SaaS model charging per user, is not the right fit for an evolving landscape where AI agents are automating an increasing number of tasks.

00:40 — To support this shift, SAP will be launching forward-deployed engineering teams that include consultants and developers who will work directly with customers to build out dedicated AI applications. It's important to note that this will not be an immediate change, but rather a direction of travel. However, it does align with the company's AI ambitions.

01:22 — Not only is SAP reportedly changing its pricing model to align with the agentic AI Era, but it's also shifting its delivery methods with the proposed forward-deployed engineering teams. This approach feels more aligned with consulting than it does traditional SaaS support.

01:44 — This transformation will impact revenue streams, customer engagement, sales, and investor relations all at once. However, this is not only a necessary shift for SAP, but one that could help the company retain its position as a global tech leader and perhaps even surpass its competitors.

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In today’s Cloud Wars Minute, I review SAP's acquisition of Reltio to enhance the Business Data Cloud, expand opportunities for customers, and continue its transformation to being an AI-first, data-first company.

Highlights

00:07 — SAP made a big move to deepen its capabilities around data to power what it's doing in AI, with plans to acquire Reltio. The real goal of this is to be able to fuel SAP's ambitions for agentic AI, particularly as it moves to convert its vast portfolio of enterprise applications to agentic AI applications.

00:58 — This move extends SAP's transformation that has been in-progress for several years now. It's working to shed its enterprise apps reputation and rather be recognized as an AI-first, data-first company.

02:27 — Customers will benefit from capabilities through Reltio to get clean, high-quality data that's fully harmonized, pulling from both SAP and non-SAP systems.

03:03 — SAP has been working hard, leading up to the launch of its data cloud, to bring in more capabilities. This acquisition demonstrates the strategic importance of the SAP Business Data Cloud and enhances what the company is doing with it.

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In this episode of Cloud Wars Live, Bob Evans sits down with Pankaj Goel, CEO of Opkey, to explore how agentic AI is reshaping ERP implementations and the broader systems integrator landscape. Goel shares how Opkey’s platform automates the full lifecycle of enterprise applications — from design through testing and support — while addressing long-standing inefficiencies in implementation models. The discussion highlights the growing urgency for speed, cost efficiency, and business outcomes in the AI Era, and how digital workers are enabling organizations to rethink both delivery models and competitive positioning.

AI Transforms ERP

The Big Themes:

AI Reshapes ERP Delivery Models: The conversation underscores a major disconnect between modern cloud ERP adoption and outdated implementation methodologies. While enterprises are rapidly shifting toward cloud-based systems like Oracle, SAP, and Workday, many systems integrators still rely on legacy approaches rooted in early-2000s practices. This mismatch results in inefficiencies, cost overruns, and delayed outcomes. Opkey addresses this gap by introducing AI-driven automation that aligns delivery models with the speed and flexibility required in today’s AI Economy.

Massive Time and Cost Savings: The platform delivers measurable efficiency gains. Customers report up to 40% reductions in day-to-day operational time post-implementation, while testing cycles shrink from weeks to just a few days. For systems integrators, implementation costs have dropped by approximately 25% in early deployments. These improvements not only enhance productivity but also enable faster innovation cycles, allowing businesses to respond more quickly to market changes.

A Win-Win Ecosystem Vision: Opkey’s strategy is built around creating value for all stakeholders: ERP vendors, systems integrators, and end customers. By improving implementation success rates, reducing costs, and accelerating time to value, the platform fosters a “win-win” ecosystem. This holistic approach ensures that innovation benefits the entire enterprise software value chain, rather than optimizing for one group at the expense of others.

The Big Quote: “Copilots. . . help you understand your information better, whereas agents and agentic AI is a fundamentally different way of conceiving work. Think of an AI agent as a digital worker, just like you used to have Oracle administrators in past and your business analysts."

More from Pankaj Goel and Opkey:

Connect with Pankaj on LinkedIn or learn more about Opkey Release Advisor and CALM.

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In today's Cloud Wars Minute, I unpack the convergence of tech and energy and what it means for the future of business leadership.

Highlights

00:00 — We are seeing here in 2026 the collapsing of traditional industry boundaries. AI is helping to drive this. A whole new way of doing business is powering this. And mostly what's happening is we're seeing visionary leaders in the tech industry, energy, utilities, power, and other places realize the old story that what got us here won't get us there.

00:35 — So I wanted to talk a little bit today about a big new partnership between Google Cloud and a century-old industrial power company called Baker Hughes. And they're looking together to join forces to do things that neither could do individually, to juice up the AI Economy and address insatiable demand for power in AI data centers.

01:38 — So much growth here, and all this is forcing traditional industry boundaries to be reconsidered. These digital-native software companies are now worried about where electrons come from, and they’ve got to get upstream integrated into the power and energy industry to keep this going.

02:20 — Now you got these extremely capable companies like Baker Hughes that have never faced such an extraordinary spike in demand. This fusion or blurring of the lines between the tech industry and the energy/power industry is going to be enormously important.

03:01 — They’re looking at the possibility of fusion reactors. Fusion is one of the world’s most high-potential but difficult technologies, and if it works, energy problems are solved. The fusion of the tech industry into the energy industry will shorten that distance dramatically.

04:14 — Are you hung up on the traditions of the past? Or are you seeing a very different future where those boundaries don’t exist? Don’t be caught on the back edge of that.

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