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What Planview believe recognition in SPM signals. To Planview, five years as a Leader in strategic portfolio management means something specific. Published July 21, 2026 By Linda Roach The enterprise strategy problem is not a visibility problem. Visibility is necessary - most leaders would be in worse shape without it. But most organizations already have more dashboards than they have bandwidth to act on, more data than they have capacity to translate into decisions, more awareness of what is happening than confidence that what is happening is the right thing. What they struggle to answer is a harder question: when the portfolio drifts from strategy - and it always drifts - does the organization have the mechanism to recognize it, decide what to do about it, and act in ways that hold? Continued analyst recognition for 5 years - across years and use cases - is one way Planview feel the question gets pressure-tested at scale. Table of Contents What recognition measures, in its opinion. When an analyst firm recognizes the same vendor as a Leader in strategic portfolio management for five consecutive years - recognized for both Ability to Execute and Completeness of Vision - the question worth asking is what that signals. Employees in a fast-moving space would constantly turn over if the only advantage were new features. What does not change quickly is coverage across the full enterprise problem. For the fifth consecutive year, Planview has been recognized as a Leader in the Gartner(R) Magic Quadrant(TM) for Strategic Portfolio Management, positioned highest for Ability to Execute and furthest for Completeness of Vision. Across all three of the Gartner Critical Capabilities use cases - Strategy Execution Management Use Case, Enterprise Program and Portfolio Management Use Case, and Integrated IT Portfolio Analysis Use Case - Planview ranked first. Planview believe this is the result of a platform designed for the full scope of how complex enterprises govern strategy. Analyst Report 2026 Gartner(R) Magic Quadrant(TM) for Strategic Portfolio Management Planview named a Leader for the fifth consecutive year. The Strategic Gap Isn't at the Top or the Bottom. It's in the Middle. The gap between strategic intent and business outcomes rarely opens at planning. It accumulates. Most organizations excel at setting a strategy. The gap opens in the middle - across the hundreds of portfolio decisions that accumulate between planning and outcome. Trade-offs, replannings, investment shifts, scope changes, resource reallocations. Each is a point where strategic alignment can either hold or quietly erode. In a complex enterprise, those decisions are not made by a single person or team. Executives set direction. Portfolio leaders allocate capital and prioritize across competing demands. PMO organizations govern programs and flag risks. Delivery teams make trade-offs within constraints. The gap between intent and outcome opens at the seams between those layers, when one part of the chain makes a decision the others do not fully see, or when the impact of a change at one level does not translate coherently to the next. This enterprise decision chain is where strategic coherence most often breaks. What the three use cases actually represent to Planview. The three SPM use cases that Gartner evaluates are not three separate product categories. In its opinion, they map the enterprise decision chain. Planview feel the chain is as follows: Strategy Execution Management - how strategic intent is translated into investment decisions and organizational priorities - the top of the chain. Enterprise Program and Portfolio Management - how programs are governed, trade-offs are evaluated, and execution stays connected to that intent - the middle. Integrated IT Portfolio Analysis - how technology investment connects to both - often the domain where organizational complexity creates the most fragmentation between strategic intent and actual spend. In its view, a platform that is recognized across all three is architecturally capable of holding strategic coherence across the full chain. That is the only way to serve a complex enterprise as conditions change - and the reason breadth matters more than depth in any single area. Why each layer needs different context. Strategic coherence holds when every decision in the chain is guided by context calibrated to its position - what the layers above have committed to, and what the layers below need to sustain it. The executive asking whether a portfolio of investments is on track to deliver the outcomes it was funded to produce needs a different context than the portfolio leader evaluating whether a new initiative request fits within the approved capacity. The PMO leader assessing the downstream impact of a program change needs a different context than the delivery team managing a scope trade-off within that program. Treating every role as a dashboard consumer creates the illusion of alignment without substance. AI embedded in the platform serves as the mechanism that delivers role-specific context at scale. Every decision-maker in the chain stays aligned with strategy, with one another, and with outcomes as conditions change. That is a harder capability to build than a general-purpose intelligence layer, which is why it tends to show up in platforms with architectural depth rather than in platforms with the newest models. Before the platform question, there is an organizational one. Four questions worth asking. Use these as a diagnostic for your own decision chain. * Can every layer of its strategic portfolio process answer "is this aligned?" - with evidence, not intuition? If the answer varies by role or depends on who is in the room, the decision chain has gaps that more visibility will not close. 2. When Planview make a significant portfolio decision, do the people downstream understand what it means for them before they are affected? Strategic coherence breaks most often not from bad decisions but from decisions that are not legible across the chain in time to matter. 3. Are Planview getting AI guidance calibrated to the decisions each role faces, or are Planview applying the same intelligence layer to every user? Role-aligned AI is an architectural decision, not a configuration option. The difference becomes visible under complexity. 4. When funded work closes, can you trace what it delivered against what it was approved to produce? If the answer requires a separate effort to reconstruct, the governance chain that preceded it had a gap at the end. What Planview believe five years actually means. Recognition as a Leader in strategic portfolio management, in its view, requires something harder to build than any single capability: * Breadth across the full enterprise decision surface * The depth to serve every layer of the chain with what it actually needs * The architectural coherence to hold strategic alignment as conditions change And all of this has to run concurrently. Not just at planning time, but through every disruption that comes between planning and outcome. The organizations that close the gap between strategic intent and business outcomes are the ones that have built - or partnered with a platform that has built - the governance capability to keep every decision in the chain connected to strategy. Recognition as a Leader, in its view, is one signal that the platform was designed for that problem from the outset. GARTNER is a trademark of Gartner, Inc. and/or its affiliates. MAGIC QUADRANT is a registered trademark of Gartner, Inc. and/or its affiliates and is used herein with permission. All rights reserved. Gartner does not endorse any company, vendor, product or service depicted in its publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner's business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this publication, including any warranties of merchantability or fitness for a particular purpose.This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request HERE.

Planview closes the gap between strategic intent and business outcomes in the age of AI. Published: June 16th, 2026 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. The Outcome Intelligence Graph addresses three imperatives that Planview sees as non-negotiable for the agentic era: every decision must drive outcomes; actions must keep pace with change; and governance must be built for speed - human and agent alike. The company has published a full vision statement on the shifts required for agentic-era strategic portfolio management from CEO Matt Zilli on its blog. "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 Sdtimes funded deliver what Sdtimes 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(R), 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: * 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. * 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. * 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." Article tags.

Planview has launched agent resource management capabilities, enabling enterprises to manage both human and AI agent resources within a single portfolio system. The platform allows leaders to track costs, allocate resources, and maintain accountability across blended workforces. The solution extends Planview's existing resource management to include AI agents and their associated costs, including compute and token spend. Features include scenario modelling, policy enforcement, and continuous audit trails of agent actions with automatic escalation to human decision-makers when boundaries are exceeded. Planview ships purpose-built AI agents for portfolio delivery, including PM Agent for status updates, Backlog Agent for task readiness checks, and Forecasting Agents for risk flagging. Agent resource management will be available in the Planview platform from autumn 2026.