
FinOpsly is an AI-native control plane for managing Cloud, Data, and AI spend at enterprise scale.
Built for organizations operating across multiple clouds and data platforms, FinOpsly shifts FinOps from passive reporting to active, governed execution. The platform connects cost, usage, and business context into a unified operating model—allowing teams to anticipate spend, enforce guardrails, and take automated action with confidence.
FinOpsly brings together infrastructure (AWS, Azure, GCP), data platforms (Snowflake, Databricks, BigQuery), and AI workloads into a single decision and execution layer. With explainable AI agents operating under policy-based controls, teams can safely automate optimization, trace cost drivers to real workloads, and stop budget drift before it becomes a problem.
Key capabilities include:
Business-aware cost attribution across products, teams, and services
Predictive insight into cost drivers with clear, explainable reasoning
Policy-controlled automation to optimize spend without disrupting performance
Early detection and prevention of overruns, inefficiencies, and financial drift
FinOpsly enables engineering, finance, and platform teams to operate from the same source of truth—turning cloud and data spend into a controllable, measurable part of the business.
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Stonebranch’s Universal Automation Center (UAC) is a Hybrid IT automation platform, offering real-time management of tasks and processes within hybrid IT settings, encompassing both on-premises and cloud environments. As a versatile software platform, UAC streamlines and coordinates your IT and business operations, while ensuring the secure administration of file transfers and centralizing IT job scheduling and automation solutions. Powered by event-driven automation technology, UAC empowers you to achieve instantaneous automation throughout your entire hybrid IT landscape. Enjoy real-time hybrid IT automation for diverse environments, including cloud, mainframe, distributed, and hybrid setups. Experience the convenience of Managed File Transfers (MFT) automation, effortlessly managing and orchestrating file transfers between mainframes and systems, seamlessly connecting with AWS or Azure cloud services.
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BMC AMI Ops Automation for Capping
BMC AMI Ops Automation for Capping streamlines the process of workload capping to minimize risks and enhance cost efficiency. This solution, previously known as Intelligent Capping for zEnterprise, leverages automated intelligence to oversee MSU capacity settings critical to business operations, thus reducing the likelihood of operational risks and fulfilling the demands of the digital landscape. By automatically regulating capping limits, it prioritizes workloads effectively while also optimizing mainframe software license expenses, which can account for a significant portion of the IT budget, often ranging from 30% to 50%. The system is capable of dynamically adjusting defined capacity MSU settings, potentially leading to a reduction in monthly software costs by 10% or more. Additionally, it helps mitigate business risks through analysis and simulation, allowing for automatic adjustments to defined capacity settings in response to workload profiles. By aligning capacity with business needs, it ensures that MSUs are reserved for the most critical workloads. Utilizing patented technology, the platform makes necessary capping adjustments while safeguarding essential business services, thus providing peace of mind for IT operations. Overall, BMC AMI Ops Automation for Capping is an invaluable tool for organizations seeking to enhance their operational efficiency and cost management strategies.
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BMC AMI Cost Management
BMC AMI Cost Management offers comprehensive reporting driven by data, enabling budget forecasts and impact modeling while effectively pinpointing areas for cost optimization by converting technical cost information into valuable business metrics. This solution features transparent cost reporting through user-friendly, interactive dashboards that monitor historical performance and efficiency gains, as well as analyze both system and overall cost data. It allows for the detection of workloads that contribute to mainframe software expenses, enabling businesses to align their cost optimization strategies with actual demand. Furthermore, the platform employs predictive analytics to assess the implications of optimizing IBM software license costs, aiding in planning and continuous budget oversight. It also ensures proactive monitoring of planned versus actual expenditures, highlighting variances and predicting whether expenses might jeopardize the budget. Additionally, the Tailored Fit Pricing (TFP) reporting capabilities grant insight into monthly TFP cost drivers, empowering organizations to manage their TFP expenses effectively while fostering a deeper understanding of their financial landscape. Overall, this tool serves as a critical asset for companies seeking to streamline their cost management processes and enhance financial decision-making.
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