Buying Services-as-Software™: How to make AI deals that deliver

AI is forcing a reset in how enterprises buy and govern services. As automation and GenAI move delivery from people to platforms, many deals are collapsing under outdated assumptions about cost, control, and value.

This webinar gives sourcing, procurement, and operations leaders a pragmatic path to Services-as-Software™ agreements that scale with AI, not headcount.

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What you’ll learn

Join us for a discussion that cuts through the AI deal hype and shows what it actually takes to buy Services-as-Software agreements that deliver.

AI-first sourcing isn’t a tweak to traditional outsourcing, it’s a redesign. In this webinar, we will show you how to build Services-as-Software deals that move beyond labor economics and make AI produce measurable business value. You’ll learn how to replace RFP theater and FTE-based constructs with outcome-led, consumption-ready deal models built for automation, autonomy, and continuous model evolution.

You’ll gain insights on:

• Why AI breaks traditional deal logic. Understand how autonomous workflows, platform delivery, and model drift make time-and-materials and headcount pricing structurally unfit for the AI era.
• How Services-as-Software changes the sourcing lifecycle. Learn what must shift across strategy, evaluation, contracting, onboarding, performance, governance, financial management, and renewal to support AI-enabled delivery.
• Designing outcomes providers must prove, not pitch. See how to move from slideware selection to real performance proof using case-study–driven challenges and live co-design.
• Building AI-ready commercial structures. Explore consumption-based pricing, tiered flat fees for platform services, and performance-linked outcomes that reward intelligence and automation at scale.
• Creating adaptive SLAs for AI performance. Replace static SLA policing with continuous assurance for accuracy, drift, bias, hallucinations, and retraining requirements.
• Governing for algorithmic accountability. Learn how to embed responsible AI controls—bias audits, explainability, model cards, and compliance guardrails—directly into the deal.
• Escaping the “FTE trap.” Get practical guidance to reframe value, risk, and governance around AI-enabled productivity and platform-led delivery.

Why attend

If you’re negotiating, renewing, or scaling services deals in 2026, the old playbook will slow you down. This session gives you a clear, future-ready framework to:

• Cut through the noise and make smarter AI buying decisions faster.
• Structure agreements that scale with AI, not headcount.
• Align enterprise and provider incentives around outcomes, automation, and continuous improvement.
• Reduce change-order friction and unlock co-innovation through adaptive governance.

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