Inclusion Cloud

Individual time savings and reimagining an entire business process are two very different ways AI can create value. That’s part of what’s at play when a company chooses one type of AI over another. ▶️ A copilot may help someone work faster without changing the process around them. That usually creates Soft ROI: time saved, less friction, better employee experience, or faster access to information. ▶️ A more complex AI solution may redesign how a process works from beginning to end. That can create Hard ROI through measurable gains such as lower operating costs, shorter cycle times, or fewer manual steps. Our latest whitepaper explores that distinction and offers a practical way to identify what kind of value an AI initiative is expected to create. Download it here: https://lnkd.in/dyiG9vCn

Have you seen Oracle Health Clinical AI Agent in action yet? Healthcare systems are under growing pressure. More patients. More data. More coordination points. Across care delivery, clinical and operational teams are working with increasing complexity every day. Oracle Health Clinical AI Agent is part of a shift already happening: AI embedded directly as part of how care is delivered and coordinated in multiple areas. ➡️ Swipe through the carousel to see where this is being applied and their results.

“We created a monster.”  That was the reaction of a CIO after his company's AI spending jumped 7x in a single day when its provider switched to token-based billing. The technology was the same. The economics had changed. That is why AI FinOps is quickly becoming part of the enterprise AI conversation. 

Every prompt is also a governance decision: Which provider receives it? Can it contain sensitive business data? Who approved that model in the first place? AI Gateways are emerging as the layer that helps organizations answer those questions: https://lnkd.in/dDJuAmSA 

We asked Reddit’s CIO community which AI projects they believed were most likely to secure leadership funding. There is no magic formula for getting executive buy-in. But across the discussion, five characteristics kept appearing in the projects that received the green light. Our latest article explores what those projects had in common, and what teams should consider before taking an AI initiative to leadership. Read the full article: https://lnkd.in/dtRXPUrt 

The idea behind tokenmaxxing was understandable: encourage people to use AI and discover new use cases. The problem started when token consumption became the goal rather than a signal. More tokens don't necessarily translate into more business value. Higher consumption may reflect faster software delivery, better customer support, or more efficient operations. Or simply duplicated work, oversized prompts, unnecessary model calls, and higher AI bills. Let's look at how leaders across the industry are thinking about this phenomenon.

As enterprise AI adoption grows, controlling token consumption becomes an architectural challenge as much as a financial one. Today, we explore why AI Gateways are becoming a key building block for AI FinOps. 

AI adoption in SAP is introducing a new challenge: making consumption as predictable as the rest of the stack. As part of our research on tokenomics for the next edition of AXIS, we'd like to hear how the community is thinking about this shift. ⬇️ Vote in the poll below and, if your perspective isn't represented by the available options, feel free to expand on it in the comments. 

Anthropic sees a future where humans define the objective and increasingly autonomous AI systems determine how to achieve it. The tokenomic reconsideration is already underway. Uber reportedly exhausted its entire 2026 AI budget in four months. In another case, an enterprise client spent nearly $500 million on Claude in a single month after failing to establish usage limits. As AI systems gain autonomy, every tool call, retry, delegated task, and model interaction makes costs harder to predict. Our latest article explores why AI FinOps must move beyond token prices and measure the complete cost of achieving a business outcome. Read the full article here: https://lnkd.in/ea5j3n5A 

How do you keep AI spending predictable as Joule and AI agents become part of everyday operations? In our latest article, we break down how to move from unpredictable AI spending to predictable, business-aligned AI investment within SAP Business AI initiatives. Read the full piece: https://lnkd.in/d5gbBWb4