
FinOpsly is an AI Cost Governance platform. It brings AI, cloud, data platform and SaaS spend into one attribution, policy and control layer, so enterprises can price a workload before building it, attribute every dollar to an owner, hold spend inside budget under policy, and prove what landed in run-rate.
Your AI invoice is not what your AI costs. One request draws on model tokens, retrieval, warehouse queries, GPU capacity and storage, and only the first shows up on the AI bill. FinOpsly resolves all of it, plus the seats in procurement and the compute in an untagged cloud account, to the same dimensions: owner, team, application, line of business, customer and tenant. An AI initiative's full cost becomes one figure, charged back through one hierarchy in one cycle.
Workforce AI is the tools employees use: seats and per-user token draw across GitHub Copilot, Cursor, ChatGPT Enterprise and Microsoft 365 Copilot. Application AI is the AI your product ships: tokens, compute and data joined into cost-to-serve across OpenAI, Anthropic, Bedrock, Azure OpenAI, Vertex AI, SageMaker and Databricks.
PLAN. Price a workload from its architecture before any resource exists, across model APIs, GPU capacity, data platform consumption and storage, with assumptions visible. Compare it across candidate models on your measured usage.
EXPLAIN. Attribute spend to owner, team, application, line of business and business unit across 9+ hierarchy levels. Unified tagging reconciles providers that tag inconsistently, and AI-driven bulk labeling closes large key estates. Unattributed spend is reported in dollars.
ACT. Budgets per project, team and API key, with daily burn-rate monitoring. Anomaly detection with root cause, routed to the owner. Waste detection using FinOpsly's own algorithms and ML models. Commitment planning across AWS, Azure and Google Cloud. Policy-driven parking of idle compute.
PROVE. Chargeback across AI, cloud, data and SaaS in one cycle. Realized savings tracked into run-rate against a no-action baseline. Cost per call, cost per active user, and cost-to-serve per customer and tenant.
proof: 100% attribution of AI spend; chargeback from 12.4 days to under one day across 9+ levels; 26% realized savings in AWS and 17%+ in Azure at a payments client.
Built for CIOs, CTOs and platform leaders accountable for technology spend, FinOps and finance teams running chargeback, and engineering teams who need cost signal before they decide
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Planview AdaptiveWork is a project and portfolio management product for organizations managing complex execution across multiple portfolios and delivery models. It supports IT PPM, Professional Services Automation, Product Development and R&D, and business project and program management use cases, with Planview Anvi available as an embedded AI add-on for insights and automation.
Governed Workflow Automation
-Low-code workflow automation for any step in the portfolio and project management process
-Changes ripple automatically across hundreds or thousands of projects
-Admins create and manage workflow changes without code
-Waterfall, agile, stage-gate, and hybrid delivery supported in one governed system
Resource and Capacity Planning
-Time-phased planning and allocation across thousands of resources by month, quarter, or year
-Planning horizon extends years forward and back without restructuring the system
-Supports employees, contractors, equipment, and other non-labor resources
Financial and Portfolio Reporting
-Bidirectional reporting: top-down portfolio to project, and bottom-up project to portfolio
-Time-phased financial planning, forecasting, and tracking, including when funds are committed or earned
-Role-based and executive-ready reporting dashboards
-Native data export on any data object, including custom fields, for ALM, PLM, ERP, and BI systems
Extensible Data Model
-Every standard object, custom field, and custom object automatically generates API endpoints
-Custom objects support hundreds of configurable fields, each API-enabled by design
-Data model can be extended without breaking integrations or requiring middleware
Embedded AI with Planview Anvi
-Natural language questions answered about any project, program, or portfolio using live data
-Scheduled agents automate recurring status reports on a defined schedule
-Risk identification agent surfaces risks at project initiation from scope, timeline, and resource profile
-Work plan agent surfaces recommendations based on delivery patterns across the organization
-Sentiment analysis across project text fields and an in-app text assistant for tone, grammar, and translation
-Customer data is not used to train AI models
AdaptiveWork is designed for upper mid-market to large organizations, including departments within larger enterprises, that need governance and reporting to scale without adding administrative overhead.
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IBM Cloud Managed Istio
Istio is an open technology that provides a way for developers to seamlessly connect, manage and secure networks of different microservices — regardless of platform, source or vendor. Istio is currently one of the fastest-growing open-source projects based on Github contributors, and its strength is its community. IBM is proud to be a founder and contributor of the Istio project and a leader of Istio Working Groups. Istio on IBM Cloud Kubernetes Service is offered as a managed add-on that integrates Istio directly with your Kubernetes cluster. A single click deploys a tuned, production-ready Istio instance on your IBM Cloud Kubernetes Service cluster. A single click runs Istio core components and tracing, monitoring and visualization tools. IBM Cloud updates all Istio components and manages the control-plane component's lifecycle.
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