ROI
ROI on Beyond Market Intelligence: a running collection of 5 stories we have gathered and hand-picked because they are worth your time. Every post here touches on roi in some way — the news, the analysis, the deep dives, and the occasional surprise find. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work with data. New stories are added to this page as we find them, so check back if you want to keep up with what is happening around roi, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything Beyond Market Intelligence is covering right now.
After Rippling blew millions on AI in months, it built an employee ROI tool
Following a significant investment in AI, Rippling has developed a practical solution for managing its own AI spending: the AI Spend Console. This new tool provides granular visibility into individual and team AI usage, empowering businesses to optimize their AI investments and ensure a positive return. Recognizing the need for fiscal responsibility in AI adoption, Rippling’s console offers a direct response to the challenges many companies face.
Forward-deployed engineers are the AI industry’s latest talent obsession
The demand for forward-deployed AI engineers is surging, with a recent study estimating only 2,000 U.S. engineers possess the expertise to drive meaningful AI return on investment. As enterprises aggressively pursue AI implementation at scale, this specialized talent has become a critical obsession. These engineers bridge the gap between model development and real-world deployment, ensuring AI delivers tangible business value. For a deeper dive into the evolving AI infrastructure landscape, explore our recent article on Nscale’s acquisition of Anyscale.
Atlassian: Research shows organizations should approach AI at the team level, not the individual level, to achieve true ROI
Research indicates a crucial shift in AI strategy: organizations achieve true return on investment by empowering teams, not just individuals. Atlassian’s recent State of Teams Report, surveying 12,000 knowledge workers, revealed a disconnect between individual AI adoption and demonstrable value. Leading teams prioritize shared context, redesigned workflows, and a culture of experimentation—a framework Atlassian actively helps companies implement. Explore how these principles can unlock your team’s AI potential, as detailed in our related article, "5 Free Courses to Go From AI Beginner to Practitioner."
Atlassian: Why AI speeds up employees but not organizations
Most companies are approaching AI adoption with a focus on individual productivity, missing a critical opportunity to transform team performance. As Dr. Molly Sands, head of Atlassian's Teamwork Lab, explains, while 89% of executives report individual employees speeding up with AI, only 6% can demonstrate clear ROI. Atlassian’s research reveals that high-performing teams leverage shared context, redesigned workflows, and a culture of experimentation—a blueprint for unlocking AI's true organizational value.
Writer's AI harness cuts token spend nearly 40% — without sacrificing accuracy
Enterprise AI faces a growing ROI challenge: while powerful foundation models excel in experimentation, production costs can quickly become unsustainable. New research from Writer demonstrates a solution accessible to engineering teams, revealing dramatic reductions—up to 41%—in task costs by optimizing the AI harness, the orchestration layer surrounding these models. This approach, which cuts token spend by nearly 40% without sacrificing accuracy, highlights the critical need to shift focus from simply increasing model size to refining system design.