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The Future is Multi-Modal
Rushing to bring AI-enabled products and services to markets, companies are launching token and usage pricing without fully understanding what’s required to operationalize support for these new pricing models. Beyond a change in pricing, most companies will need to upgrade their quote to cash systems and process. But where to start?
In this webcast, MGI analysts detail practical guidance on how forward-thinking product, pricing, and finance teams can launch new products without compromising margins, financial integrity or time to market. Analysts present the must-have capabilities as well as the common mistakes being made today.
Key issues we’ll address:
- What’s required to successfully launch and support token and usage based pricing models?
- How can usage pricing be introduced into existing enterprise agreements?
- What is the business application functionality needed to support usage and token-based pricing models?
- What are the core architectural requirements needed to run hybrid and consumption models with speed and scale?
- What should users look for in billing, metering, and monetization suppliers? Which vendors are leading, and which ones should be avoided?
- How can finance and IT teams achieve margin precision as pricing complexity compounds?
- How can users and vendors begin mapping existing tech stacks against the Multi-Modal Monetization (M3) approach?
If your organization is introducing new pricing and packaging for AI products, get an independent, confidential assessment from the MGI analyst team by contacting us.