
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.
Learn more

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
Learn more
Anthos Service Mesh
Designing your applications as microservices provides many benefits. However, your workloads can become complex and fragmented as they scale. Anthos Service Mesh is Google's implementation of the powerful Istio open source project, which allows you to manage, observe, and secure services without having to change your application code. Anthos Service Mesh simplifies service delivery, from managing mesh telemetry and traffic to protecting communications between services, significantly reducing the burden on development and operations teams. Anthos Service Mesh is Google's fully managed service mesh, allowing you to easily manage these complex environments and reap all the benefits they offer. As a fully managed offering, Anthos Service Mesh takes the guesswork and effort out of purchasing and managing your service mesh solution. Focus on building great apps and let us take care of the mesh.
Learn more