AUSTIN, TEXAS — Strategic portfolio management software provider Planview today introduces new capabilities for the future of AI-powered SPM. This includes the debut of the Outcome Intelligence Graph, a model of the enterprise portfolio in which every decision connects to the resources behind it and the results it produces.
“AI does not close the gap between intent and outcome. It widens it. A misaligned decision now compounds at machine speed, at scale, before anyone sees a signal,” said Matt Zilli, Planview CEO. “This is also the moment AI can finally do what was impossible at human speed: connect strategy to execution in real time, reconcile investments to outcomes continuously, and give every leader, team, and agent the same view.”
Introducing the Outcome Intelligence Graph
With the Outcome Intelligence Graph, leaders and AI agents reason from the same picture. The relationships inside the graph carry three decades of practitioner knowledge about how portfolios behave, finally making the hardest question answerable: did the initiative we funded deliver what we expected?
“General-purpose AI models are remarkable, but they don’t know what a $40 million program delay costs your company. Tracking workflows at the team level isn’t enough — leaders need to be able to understand the whole picture. Anvi®, powered by the Outcome Intelligence Graph, is built on 30 years of how enterprise portfolios actually behave — that’s not something you can replicate with a connector or a prompt,” said Louise K. Allen, Planview Chief Product Officer. “It’s the difference between AI that can answer questions and AI that understands the full strategic context around the work.”
New Anvi-Powered Capabilities
Planview is also announcing new capabilities that put the Outcome Intelligence Graph to work across planning, collaboration, and the broader AI ecosystem:
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Anvi-powered Scenario Planning addresses the need for enterprise-wide intelligence, turning days of manual spreadsheet modeling into minutes. Describe your objectives and automatically get back ranked scenarios with full tradeoff analysis across capacity, financials, and strategic fit, so leaders can understand decision tradeoffs and see what the organization can actually achieve.
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Anvi MCP server puts the Outcome Intelligence Graph wherever your team gets work done, allowing Copilot, Claude, ChatGPT, or any enterprise agent to call Anvi directly — bringing the context of your business and Planview’s decades of practitioner knowledge into whichever AI environment your teams already use.
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Originally launched at Planview Connect 2026, Agent Resource Management is the real-time governance plane for the agentic era, placing people and AI agents in one system to plan, govern, and optimize together — with full cost visibility on every capacity decision, automatic guardrails on agent activity, and continuous proof of which outcomes your AI investments deliver.
Together with the new Anvi Home experience — where teams build, test, and deploy agents with a curated prompt library and admin controls for distributing them across the organization — these capabilities turn the Outcome Intelligence Graph from a model into action.
“The enterprises asking, ‘how do we adopt AI faster?’ are asking the right question in the wrong order. The first question is: ‘how do we know whether our AI investments are producing the outcomes we funded them to produce?’” said Zilli. “For most organizations, no one can answer it — this is the gap strategic portfolio management was built to close.”
