Budget Planning 2027: Portfolio Marketing And Product Management Must Be Primed For AI-Era Innovation

2026-07-10 · Source: Featured Blogs - Forrester · Field: Business & Management — Corporate Strategy & Leadership, Marketing, Branding & Advertising, Project & Product Management · Depth: Fundamental Awareness, quick

Summary

Forrester's new report, "Budget Planning Guide 2027: Portfolio Marketing And Product Leaders Must Keep Pace With AI-Driven Innovation," highlights the critical need for portfolio marketing and product management leaders to adapt to AI-driven innovation by 2027. The report emphasizes a shift from traditional feature-centric planning to customer outcome-based value delivery, impacting how resources are allocated, value is measured, and offerings are brought to market. It advocates for radically reorienting purpose and resources on measurable customer outcomes like cost reduction or revenue increase, integrating these into metrics and pricing. Furthermore, organizations must shed legacy processes, given that 62% of portfolio marketing decision-makers report ad hoc or nonexistent launch processes, and instead rebuild workflows using AI for areas like launch orchestration and content creation. Leaders should also experiment now with applications such as market intelligence agents and synthetic personas to prepare for an agentic future.

Key takeaway

For Directors of AI/ML or AI Product Managers planning for 2027, your budget and strategy must prioritize modernizing operating models and aligning teams around customer outcomes. You should actively shed legacy processes and invest in AI-driven automation for launch orchestration, content creation, and competitive intelligence. Begin experimenting with multiagent systems like market intelligence agents and synthetic personas now to build scalable systems and demonstrate proof of value in an AI-accelerated innovation landscape.

Key insights

AI demands a fundamental shift from feature-centric planning to customer outcome-based value delivery in product and marketing.

Principles

• Align all functions around measurable customer outcomes.
• Rebuild processes from the ground up using AI.
• Experiment with AI agents for future readiness.

Method

Integrate outcome measures into charters, dashboards, product telemetry, pricing models, and success metrics to align product, marketing, sales, and customer success.

In practice

• Test market intelligence agents and synthetic personas.
• Automate launch orchestration and content workflows.

Topics

• AI Innovation
• Product Management
• Portfolio Marketing
• Customer Outcomes
• AI Agents
• Budget Planning 2027

Best for: Product Manager, Executive, Director of AI/ML, AI Product Manager, Consultant

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Editorial summary, takeaway, and curation by AIssential. Original article published by Featured Blogs - Forrester.