Layer D · AI Value Management & Portfolio Governance
Planview
Strategic portfolio management platform adding agent resource management, AI scenario planning and investment-to-outcome tracking.
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At a glance
- Control layer
- D: Value and strategy
- Five-Layer model
- Usage Transparency, Output Quality, Productivity Value, Delivery Alignment, Portfolio Strategy
- Status
- Active
- Typical buyers
- AI leadership (CAIO), Finance (CFO), Technology leadership (CIO)
- Delivery
- Not yet assessed
- Portfolio planning
- Outcome tracking
- Agent and MCP inventory
Spend controls it documents
Reports spend
Value evidence it is designed to record
- Realised financial benefit
Buyer fit
The most direct portfolio-governance contender in this category. In June 2026 Planview announced Agent Resource Management, which plans and governs people and AI agents together with cost visibility on capacity decisions, and an Outcome Intelligence Graph that reconciles funded initiatives to results. Most relevant where Planview is already the portfolio system of record. The release does not state general availability for most of these capabilities.
Market outlook
Established portfolio management vendor. The AI capabilities are new and their depth needs assessment, but the portfolio data model gives them a credible base.
What to check
- Ask for a demonstration of investment-to-outcome reconciliation on real portfolio data, since the announcement does not describe the mechanics.
- Agent Resource Management treats agents as capacity alongside people, which suits workforce planning questions.
- Confirm which capabilities are generally available and how they are licensed.
Sources
The map describes vendors from public sources; it does not rate, rank or recommend them, and no listing is paid for. Confirm pricing and capabilities with the vendor. See how the map is built.
By Ed Epstein, who works at IBM. The postings on this site are my own and don't necessarily represent IBM's positions, strategies or opinions. About and disclosure · Methodology