According to a recent LinkedIn post from Adaptive6, Bayer reportedly achieved a 20x return on investment in the first year of using Adaptive6’s CCGO methodology for cloud cost governance. The post asserts that the approach targets so‑called “Shadow Waste,” described as inefficiencies between cloud, code, and runtime that may not be visible in standard FinOps dashboards.
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The post highlights an upcoming session at the FinOps X conference in San Diego, where representatives from Bayer and Adaptive6 plan to explain how this methodology was applied across Bayer’s stack, including AI workloads and data cloud environments. For investors, the claimed ROI and marquee enterprise reference suggest potential demand for Adaptive6’s solutions among large, complex cloud users, which could support pricing power and sales traction if such results prove repeatable.
Positioning the methodology as complementary to existing tools may indicate a strategy to integrate into established FinOps ecosystems rather than displace incumbents. This focus on uncovering hidden cloud costs, particularly around AI infrastructure, could enhance Adaptive6’s relevance as enterprises scrutinize spending on AI and data platforms, potentially strengthening the company’s competitive standing in the FinOps and cloud optimization market.

