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Time Savings per Week
Comparison of weekly time spent on preparation before and after AI adoption.
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How agentic AI is rearchitecting enterprise workflows
2025 was always going to be a pivotal year for AI Agents. The technology had matured, enterprise interest was high, and the use cases were becoming clearer. As with any major platform shift, the path from early adoption to broad deployment has involved real learning — about what works, what doesn’t, and what it actually takes to get Agents into production at scale. Key speakers Praveen Akkiraju: Managing Director, Insight Partners (Moderator) Joao Moura: Founder and CEO, CrewAI Ritika Gunnar: VP of Data and AI, IBM Itai Asseo: VP of AI Research Incubation, Salesforce Chad McAfee: VP of AI and HPC, Oracle Key takeaways Agent sprawl is real. Enterprises are deploying Agents at scale, but the shift from building to managing the full Agent lifecycle — optimizing, securing, and governing in production — is where the work now lives. Most agentic workflows sit on a spectrum between fully autonomous and fully deterministic. Enterprises that understand this build better systems. The biggest driver of success isn’t the technology. It is clarity about outcomes, willingness to rethink processes, and investment in reskilling people. Back-office use cases dominate current adoption. Most enterprises are operationalizing Agents internally before deploying them externally. Three things will unlock broader adoption: ease of use, trustworthy and repeatable outputs, and manageability at scale. These insights came from our ScaleUp:AI event in October 2025, an industry-leading global conference that features topics across technologies and industries. Watch the full session below: The state of Agents: Hype, reality, and what changed Coming into 2025, the industry declared it the year of AI Agents. What actually happened was messier — and more interesting. Moura, whose open-source framework CrewAI* has seen rapid adoption, described the year as a turning point. Early on, companies were still figuring out what Agents even meant for their operations. By mid-year, the conversation had shifted. Enterprises began treating Agents not as experiments but as infrastructure. One CrewAI customer scaled from 2,000 Agent groups to over 120,000 in just 15 days — a pattern Moura sees repeating once something “clicks” inside an organization. Gunnar offered a complementary view from IBM’s point of view. Agent sprawl, she noted, is now a real phenomenon. Enterprises are building hundreds of thousands of Agents using a mix of open frameworks and proprietary tools. The challenge is no longer ju...
IBM revealed a real-time dashboard where human consultants watch AI ...
IBM is showcasing how the future of working life could look, with its smart real-time dashboard that sees human employees watching over AI agents. More and more companies are incorporating AI into their work practices in a bid to boost productivity and increase output. One such business is tech giant IBM. And the company has a pretty interesting approach to artificial intelligence, thanks to its real-time dashboard, where the work carried out by AI agents is overseen by humans. Enter our competition to win a stunning 2006 Ford GT or $400,000 cash! The future of working could look very different thanks to AI There’s no question that AI is making a big impact on the world of work. Earlier this month, Nvidia CEO Jensen Huang said that within the next decade, he expects millions of AI bots to work alongside the company’s human staff. Unsplash “In 10 years, we will hopefully have 75,000 employees, as small as possible, as big as necessary,” he said. “They’re going to be super busy. Those 75,000 employees will be working with 7.5 million agents.” He’s also predicted that in the not-too-distant future, AI agents could be ‘hired’ much like flesh-and-blood employees to create a mix of ‘humans and digital humans’. And Huang isn’t the only big name who has suggested that the working landscape could soon look very different. Microsoft founder Bill Gates has said that AI will mean humans will only need to do work two days a week. Here’s how IBM mixes its AI agents with human workers IBM has shared its own vision for the future of work, and it’s pretty interesting stuff. Back in 2024, the company unveiled its Consulting Advantage dashboard. Put simply, this dashboard allows humans to monitor the work of AI agents, all in real time. “Every hour I can see what’s going on with all the humans associated with digital workers,” IBM Consulting senior vice president Mohamad Ali told Business Insider. “That is the new consulting model going forward.” The dashboard, which has recently been made available to IBM customers, has been hailed as a real time saver by Ali. Luke Peters He used the example of a security operations center, and said that a human investigator might take around 45 minutes, whereas an AI agent can get the job done in just minutes. However, while IBM says AI has proved massively helpful for both its own operations and those of customers, a handful of recent studies have found that using AI in the workplace might not be as helpful as you’d...
Managers and Executives Disagree on AI—and It's Costing Companies
Executives tend to experience AI as a strategic advantage, while managers confront its flaws inside real workflows, under real constraints, and without enough time or support.
Best AI Tools for Executive Assistants in 2026
A practical guide to the best AI tools for executive assistants — inbox triage, meeting prep, follow-up drafting, and cross-app context.
