Cloud Wars Live with Bob Evans

In today's Cloud Wars Minute, I look at Microsoft's latest moves to help organizations deploy and scale AI agents without sacrificing control.

Highlights

00:10 — In the latest updates to Copilot Studio, Microsoft has introduced a series of improvements focusing on visibility and governance, allowing users to expand automation while maintaining control. Regarding visibility, the new analytics viewer role provides read-only access to an agent's analytics page.

00:36 — On top of this, Microsoft has expanded its agent usage estimator to include Dynamics 365 agents, enabling users to forecast Copilot credit consumption across both Copilot Studio and Dynamics 365 from one place. Microsoft already enables users to embed Copilot Studio agents into workflows using its agent node function.

01:16 — Other updates to workflows are designed to enable scaling without introducing governance risk. Workflows can connect to a larger toolkit, such as MCP server-enabled tools, to make it easier to take actions in systems, yet still within the Microsoft Security Framework. Users can also utilize agents built in Copilot Studio to bring interactive app experiences directly into Copilot Chat.

01:48 — This means they can review data, update records, approve requests, or create assets, all without having to switch tools. These are just some of the updates that Microsoft has been working on throughout April, and I really enjoy following the trajectory of these updates because they illustrate to me the current stage of our collective journey with AI.

02:11 — It's clear that agents are integrated into many systems, and now is the time to scale them securely. So, if you're still considering when and if to introduce AI-driven practices into your business, major directional changes like this should serve as a cautionary tale.

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In this episode of the AI Agent & Copilot Podcast, Giuseppe Ianni, AI Practice Lead and industry thought leader, is joined by Nandita Puri, PhD Candidate at Georgia Tech and founder of Illumia.bio. Puri discusses how AI is transforming drug discovery by creating massive therapeutic libraries, connecting fragmented biomedical knowledge, and dramatically accelerating research timelines. Their conversation explores the convergence of AI, structural biology, and life sciences.

Key Takeaways

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In today's Cloud Wars Minute, I examine how Google Cloud is using AI Threat Defense to help customers fight AI-powered cyberattacks.

Highlights

00:03 — If you're going to be number one on the Cloud Wars Top 10, you've got to fight to keep that position and stay ahead of the incredible and highly capable competition across the Cloud Wars Top 10. Google Cloud, I believe, has taken yet another big step in ensuring that it remains the number one company on the Cloud Wars Top 10 by launching a new cybersecurity approach.

00:57 — The person leading that is Francis deSouza, who is the Chief Operating Officer of Google Cloud, but also president of its security products. In a blog post last week outlining what this new AI Threat Defense is all about, deSouza said it's time now that business customers be able to fight AI with AI, to defend against these very powerful incursions that the bad guys are going to be making using AI.

01:58 — So, there needs to be, among customers, a big shift in how they do things. It can't be, "Let's just do a little bit more of what we've always done." There's got to be a new approach, and Google Cloud believes it's got that now with this AI Threat Defense for Google Cloud. I believe this is the latest in an ongoing series of steps they've made around cybersecurity.

02:54 — About a year ago — or several months ago — the company announced its intention to acquire Wiz, with its end-to-end threat monitoring and awareness capabilities. That deal has now been completed, and the most recent step, I believe, is the launch of this new solution called Google AI Threat Defense.

03:56 — Now, I'm not trying to read more into that than needs to be said. Maybe Google Cloud AI Threat Defense seemed overly clunky, but I wonder if, in some ways, parent company Google is riding this high now. Google Cloud itself had a growth rate of 63%, up from 48% in the prior quarter, so the company is definitely on a run here.

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In today's Cloud Wars Minute, I analyze how Marc Benioff is using Agentforce to drive larger deals, stronger customer spending, and new AI metrics.

Highlights

00:02 — We see Salesforce is off to a good start here in its fiscal '27. For Q1 ended, let's see, April 30, it reported that overall revenue was up by 13% to $11.1 billion. I want to look into some of the big numbers within the Q1 presentation, and also the earnings call. It, I think, revealed just how heavily AI, and in particular Agentforce, have become the growth engines here inside Salesforce.

00:31 — Salesforce, after wandering for a few years trying to get its margins right to please institutional investors, is now riding the AI Revolution. So, I've got 10 numbers that I pulled out from that presentation and the earnings call. Agentforce was involved in, and Benioff said drove, almost half of the company's 100 largest Q1 deals. It had 98 that were $1 million or more.

01:15 — Agentforce was in about half of those. The most active AI users that Salesforce has, the ones doing what it calls agentic work units, detailing specific tasks that agents have completed, it said the most active AI users now have increased their spending with Salesforce by 1.5x from the previous year. So clearly customers are seeing the value in this now.

01:46 — Benioff said that over the years Salesforce has generated many, many millions of leads, more than its human salespeople could follow up on over that time. It put Agentforce on it, and autonomously it contacted 220,000 of these customers interested in Salesforce but who never got a call back, generating $42 million in pipeline from that.

02:45 — One other interesting point I'll note here is that Salesforce began to list Now tokens processed in the quarter, and it said it was 28.3 trillion tokens processed in Q1 through Salesforce as agents and applications. Now that's a number that it says it's going to be revealing every quarter here, and I think it's a great idea. It carries some risks.

03:13 — It's a great idea because it shows not just what people are spending on AI, but the work that is getting done in what they call these AWUs, or Agentic Work Units. Salesforce said that relative to Q1, the average work units undertaken by Salesforce customers was up 152%. That's sequential, quarter-to-quarter.

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In today's Cloud Wars Minute, I look at how Microsoft and EY are combining engineering and consulting expertise to scale AI transformation.

Highlights

00:10 — Microsoft and EY have announced a substantial enhancement to their existing partnership, committing to invest over a billion dollars over five years into a new initiative aimed at helping organizations to scale AI.

00:40 — So, what's the plan for it? Well, it will combine Microsoft's forward-deployed engineers, or FDEs, with the expertise of EY industry professionals to accelerate AI adoption. Their approach focuses on, and I quote, “change management delivery models powered by Microsoft's FDE AI-native hypervelocity engineering approach.”

01:05 — Now, this initiative will see teams of EY business consultants and Microsoft engineers co-develop AI solutions tailored to address clients' highest-value business opportunities. This collaboration is steering companies toward the goal of becoming frontier firms. It's a term coined by Microsoft that I've used many times, that's gaining traction across the industry.

01:29 — Frontier firms are organizations that integrate agentic AI with the human workforce at scale and continuously optimize AI initiatives while adapting their company culture to thrive in this new future. Now, an interesting aspect of this collaboration is that EY, already closely aligned with Microsoft in terms of partners, was in fact the client zero for the initiative.

01:56 — This means they [the EY team] have an insider's understanding of what works well, how to adapt to Microsoft products, and how to effectively share this knowledge with potential customers and clients.

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In today's Cloud Wars Minute, I break down why Workday sees agentic AI as the key to defending its 80 million-user base.

Highlights

00:02 — Workday co-founder Aneel Bhusri resumed his position as CEO. He wanted to help guide the company through the AI Revolution and help bring a solid knowledge of what's happening and how Workday as a company has to be able to innovate and create and get with the AI-native program as rapidly as possible.

00:45 — It's got to be able to move fast, and the margin for error is slight. The Q1 results, which came out last week, I think prove that Bhusri's got the company on the right track. Subscription revenue up 14.3%, almost $2.4 billion. Their total subscription revenue backlog was up 11% to over $27 billion.

01:23 — It's now got 80 million users under contract. Now, the good and the bad of that is those are 80 million users who are heavily dependent right now on yesterday's technology. So, the good thing for Workday is they've got these 80 million users, and Workday's got the first shot at converting them.

02:23 — Bhusri said, “In technology transitions — and I’m old enough to have lived through a few of them — you have to put that new technology front and center. It’s got to be your absolute top priority in everything you do.”

03:38 — Bhusri said customers seem to want to have both open technology and the ability to use agents from lots of vendors, but they've also got to ensure that they've got the proper guardrails for compliance and legal compliance, and ensuring the privacy and safety of their customers. He also said it's really important for Workday to reinstitute and reinvigorate a startup mentality.

04:48 — So, Aneel Bhusri is one of the good guys in the tech industry. He's been around a long time. His return here, I called him back in February “the reluctant CEO,” because he was eager a few years ago to get out of the CEO role, but he knows now that with what's going on in the market and this vast change of technology brought forth by AI, he needed to be CEO.

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Bonnie Tinder is the founder and CEO of Raven Intelligence, an independent B2B peer review site that amplifies the voice of the customer. She focuses on software customers, consulting partners, and software vendors and helps identify the best partners for their needs. In this episode, she and Bob Evans speak about Workday’s accelerating AI transformation following its Innovation Summit. Bonnie offers a practitioner’s perspective on how Workday is rethinking enterprise software around agentic AI, faster deployments, embedded governance, and a startup-like culture shift under returning leadership.

Episode 59 | Workday’s AI Reset

The Big Themes:

The Big Quote: “The real AI gold rush isn't in the models, it's really that unglamorous work of moving 30-year-old legacy systems to a point where agents can actually do something with the data.”

More from Bonnie Tinder:

Connect with Bonnie on LinkedIn.

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In today's Cloud Wars Minute, I examine why Agentforce Operations could remove one of enterprise AI’s biggest adoption barriers.

Highlights

00:03 — While the flow of innovative and transformational agentic AI technologies has certainly shifted from a trickle to a flood, there are still many barriers to success, albeit barriers that companies across the board are diligently working to address and overcome.

00:33 — [Many] workflows were built for manual human oversight, often loosely governed and entirely unsuitable for agentic AI. Now, Salesforce aims to tackle this back-office issue and eliminate these bottlenecks with a new product called Agentforce Operations.

01:24 — The result is a system where, after manual processes are digitized, a task [can] take a mere amount of minutes [and] agents can handle the heavy lifting with human oversight. Business users can continually improve these processes without needing any coding knowledge.

01:48 —Aman Naimat, SVP and GM of Agentforce Operations at Salesforce said the following about this new product: “As companies accelerate AI adoption to become agentic enterprises, most are still burdened by an underlying layer of fragmented manual processes across supply chain, procurement, finance, and the broader back office.”

02:43 — This, particularly, is a clear example of a seamless interaction between agents and human operators. The human in the loop can specify the task that needs to be automated, while the system improves the quality of how the agent operates.

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In today's Cloud Wars Minute, I cover a recent court case leading to OpenAI having to clarify that ChatGPT is not a lawyer.

Highlights

00:10 — There has been confusion about what OpenAI's core product, ChatGPT, is and isn't, particularly in a recent court case. OpenAI clarified that ChatGPT is not a lawyer after an individual used the AI tool to build her case and would cite it as a source.

01:30 — In its motion for dismissal, ChatGPT had to very specifically note that it's not a lawyer, it is not a person, and it does not practice law. OpenAI defined ChatGPT as a set of rules and words that help people understand what's going on around them.

02:30 — One of the world's most technologically advanced companies and innovators had to spell this out in court. There is a fair amount of humor to be found in this.

03:00 — To quote Pogo, "We have met the enemy, and it is us." Humans should be rightly proud of the tech innovations and AI advances emerging. However, there's always going to be this goofiness out on the fringes where things have to be spelled out.

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In today's Cloud Wars Minute, I unpack Microsoft’s Work Trend Index and what it reveals about the rise of agentic AI in the workplace.

Highlights

00:09 — Microsoft's 2026 Work Trend Index annual report is titled "Agents, Human Agency, and the Opportunity for Every Organization." Microsoft analyzed trillions of anonymized M365 productivity signals, surveyed upwards of 20,000 workers in 10 countries, and consulted with experts in AI, work, and organizational psychology. Here are some of the most revealing insights.

01:25 — An analysis of 100,000 Copilot chats found that 49% of conversations were focused on supporting cognitive tasks, ultimately enhancing the capabilities of these human participants. On top of that, 66% of surveyed AI users reported that AI has enabled them to dedicate more time to high-value work.

01:49 — Microsoft states that close to one in five workers are in what they call the frontier zone, which refers to what they describe as "the sweet spot where organizational capability and individual readiness reinforce each other."

02:14 — Microsoft says that the key to alignment is for companies to focus on AI absorption rather than simply AI adoption, and this involves redesigning how work is done and turning AI outputs into actionable insights.

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