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Webinar

The State of Offering Management 2026

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Offering Management in 2026 is defined by the shift from conceptual planning to the operationalization of AI Economics.™ This session addresses how offer leaders must strategically realign the entire service portfolio to resolve the conflict between the potential of AI offerings and existing operational inertia.

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February 11, 2026

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February 11, 2026
|
Pacific Time

Overview

Summary

Offer leaders are navigating a definitive shift from "light packaging" of AI concepts to the rigorous operationalization of AI Economics. This transition is critical because modern AI-augmented services cannot be delivered on faulty, non-standardized foundations. To succeed in 2026, leaders must orchestrate a unified service portfolio that balances scalable automation with the indispensable human element, moving beyond effort-based revenue models to secure sustainable, outcome-centric growth.

Challenges

Organizations must rapidly mature core offering management capabilities to overcome three threats to growth and retention: the AI Value Paradox eroding effort-based revenue models, inconsistent execution that undermines revenue retention and value measurement, and fragmented data plus weak AI governance that block compliant, insights-as-a-service offers.

Key takeaways

Execute Strategic Portfolio Realignment

Learn to pivot low-value service components into core product pricing and aggressively reinvest cost avoidance into high-value, AI-native categories (e.g., AI Readiness, Value Optimization).

Monetize the Indispensable Human Element

Redefine human value away from "hands-on-keyboard" execution toward higher-order elements like strategic vision, oversight, and empathy, thus monetizing the "augmented consultant."

Prioritize the Unified Data Model

The journey to AI-First offers starts with data hygiene. Utilize a unified data model to break down silos, enabling the predictive engines required for dynamic pricing and value realization.

Webinar speakers

Hal Stanley

VP, Offering Management Research and Advisory, TSIA

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