Forrester’s Framework for AI Strategies That Pay Off
Revenue leaders are under pressure to adopt AI everywhere. Getting funding is easy. Getting business value from your investments? That's harder. Use Forrester’s AI Deployment Model to align your stakeholders, prioritize the right use cases, and scale AI with measurable outcomes.
This 2026 Forrester report gives you a framework for using AI successfully across the revenue system. Get complimentary access to best practices and practical advice to design, implement, and govern a scalable, connected GTM AI strategy.
Get access to:
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Why many AI rollouts end up disconnected, even when teams start with good intent
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A practical deployment model for tying AI work solutions for sales and revenue teams to business outcomes
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Where AI can strengthen your GTM system including planning, quotas, compensation, and forecasting
Top Insights
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ROI Is Easier to Prove at the System Level
Seller-level tools can improve speed and consistency, while system-level AI can reshape revenue predictability. This Forrester report shows why ROI is often easier to prove when AI is applied across planning, territories, quotas, incentives, and sales execution.
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The Risk Starts Before You Deploy
The biggest AI investment risk? Skipping the strategy groundwork. Internal alignment keeps artificial intelligence investments focused on outcomes you can measure. Forrester’s framework helps prevent point tool overload, misalignment, and pilots that can’t scale.
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Win With Executives: Use AI to Make Revenue Predictable
Executives don’t want surprises. They want predictable plans and revenue forecasts they can trust. This Forrester report defines what successful AI deployments look like when ROI uncertainty on commercial investments is a concern, and outcomes must be measurable.
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