HPE Consumption Analytics Verified Customer Reviews (2026)

Ask a CFO what the company spent on AI last quarter and you will get a number. Ask which product line it belonged to, whether anyone approved it, or what it earned, and the room goes quiet. FinOpsly was built for that second set of questions. It is an AI Cost Governance platform. AI does not run in isolation, so FinOpsly does not price it in isolation either. A model call pulls warehouse queries, GPU time and storage behind it, and the engineers building the feature are burning licensed seats the whole time. All of that lands in one cost model, mapped to the company's own structure: owner, team, product, business unit, customer. What teams use it for: Pricing a workload before anyone provisions anything. Describe the architecture, get a cost estimate across the stack, and see which assumptions drove it. Compare model options using consumption you have already paid for. Making chargeback something finance trusts. Hierarchies run nine levels or deeper. Tags get standardized across providers that never agreed on a convention. API keys and resources are labeled in bulk from instructions written in ordinary English. Anything still unowned shows up as a dollar figure. Holding the line during the month. Budgets by team, project or key. Anomalies flagged with a root cause and sent to the person responsible. Waste that provider consoles do not catch, found by FinOpsly's own detection models. Idle compute parked on schedules the customer approved, and reversible. Proving the outcome. One chargeback run covering AI, cloud, data and SaaS together. Savings measured against the base-line along with cost-to-serve metrics: cost per active user, per customer served. Customers have moved attributable spend from 68% to 99% inside 90 days and taken a chargeback cycle from 12.4 days down to under one. Built for CIOs, CTOs, FinOps practitioners and the finance teams who sign off on the bill.

Custom applications can be straightforward and efficient. The Melis Platform serves as a Low Code solution that enhances the process of app development, management, and deployment, making it suitable for various applications like websites, e-commerce systems, and customer relationship management tools. Key features include: - A focus on use cases to optimize workflows, enabling the creation of functional interfaces in just eight weeks. - A user-centric low-code approach with pre-built modules that can be tailored to meet specific needs, thus hastening the launch timeline. - Cloud-native and AI-driven capabilities that support the development of high-performance, API-first applications. - French-built compliance that adheres to stringent regulatory standards. - A sustainable growth model with flexible, consumption-based pricing options. With the Melis Framework as a Service, you can easily navigate the complexities of infrastructure, empowering you to develop impactful applications without hassle. This platform not only promotes efficiency but also encourages innovation in app development.

Engage offers a uniquely tailored and outstanding experience by leveraging the capabilities of AWS and Generative AI. Traditional contact center systems, which are often cumbersome and outdated, can lead to excessive costs and inefficiencies. Local Measure's Engage For Amazon Connect is designed to meet the demands of today's consumers effectively. As a Contact Center as a Service, Engage takes care of all upgrades and enhancements, eliminating the need for costly agent licenses or complex hardware setups. Our pricing model based on consumption is flexible enough to suit businesses of various sizes. To successfully establish a brand, prioritizing customer needs is essential. Engage empowers agents with tools such as sentiment analysis and chatbots, allowing them to gain deeper insights into customer behavior and enhance user experience. Engage supports multiple communication channels, including Voice, Email, SMS, Facebook Messenger, Instagram DM, Twitter DM, WhatsApp, WeChat, LINE, and Web Chat, ensuring comprehensive customer engagement. This multi-channel approach not only streamlines interactions but also helps businesses connect with their audience in the ways that are most effective for them.