Monetize 15
November 4, 8am–6:30pm local
The Harvard Club of New York City
Monetize 16
December 8, 8am–6:30pm local
UCSF Mission Bay, San Francisco
The next 12 months of decisions about AI will set finance cost structures, margins, and competitive positions for a decade. CFOs and CIOs must decide which systems to rebuild and which to retire. Product leaders must price AI without giving away margin. Investors must pick the companies that will own the next-generation finance stack.
Monetize 15 & 16 put those decisions in one room for one day. CEOs of established financial software companies share the stage with the founders of the AI-native challengers trying to replace them. Many bring the customers who run their software in production, and all take questions from MGI and from buyers. Everyone on stage is a decision-maker or an operator, not a commentator.
What happens to ERP, billing, contract management (CLM), quoting (CPQ), and Salesforce Revenue Cloud: which AI-native challengers break through, which incumbents adapt, and where the profit pool moves.
The AI-native Office of the CFO: what each path costs, and who is already ahead.
How AI changes headcount, cost per transaction, and close cycles, and what the finance talent model looks like.
How audit, SOX compliance, and traceability work when AI agents run core finance processes, and what IT must put in place.
From seats to tokens, agents, and outcomes. Pricing that protects margin, metering that proves it, and a quote-to-cash stack that can bill for it.
Monetize is intentionally built around four core audiences, each approaching the same market transition from a different vantage point.
Which finance processes AI can run today and which it cannot yet, with benchmarks on cost, staffing, and close cycles. The vendors you are evaluating present on one stage, with their customers in the room to confirm or challenge their claims.
How to modernize the finance stack without a multi-year re-platforming: which systems of record stay, where AI agents plug in, and what controls agent-run finance requires.
A practical path from AI product to AI revenue: pricing and packaging models that protect margin, and the billing and quote-to-cash systems that can support them. The CFOs and CIOs you sell to, and the investors who fund your category, are in the room to tell you what they will pay for next.
MGI’s independent view of which categories consolidate and which get displaced, with incumbents and challengers side by side. One day here is the equivalent of weeks of diligence meetings.
Monetize 15 & 16 are each limited to 200 seats and every registration is reviewed, so the room stays senior and the conversation candid. Seats are allocated as requests are approved.
MGI Research hosts and moderates every session. No single vendor owns the stage, sponsored sessions are labeled, and MGI’s analysis is not for sale.
MGI’s data-backed scenarios for the AI-transformed Office of the CFO and the economics of monetizing AI.
Leaders of established financial software companies and founders of the AI-native challengers present to the same buyers and take the same questions on strategy, product, and AI roadmap from MGI and the room.
Executives who run the software in production describe what worked, what broke, and what it cost.
A direct call on what to build, buy, and retire.
A limited number of sponsorship packages are available. Contact [email protected] for details.
Time
Session
8:00 – 9:00 AM
Check-In, Coffee & Light Breakfast
9:00 – 10:45 AM
Main Sessions – including Keynote: MGI Research on Monetizing AI
10:45 – 11:00 AM
Coffee & Networking Break
11:00 AM – 12:00 PM
Main Sessions
12:00 – 1:00 PM
Networking Lunch
1:00 – 3:15 PM
Main Sessions
3:15 – 3:30 PM
Networking Break
3:30 – 5:00 PM
Main Sessions – Concluding Session with an MGI Research Analyst
5:00 – 6:30 PM
Champagne Reception – Networking Cocktails & Hors d’oeuvres
Harvard Club of New York City
35 W 44th St, New York, NY 10036
UCSF Mission Bay
1675 Owens St, San Francisco, CA 94158
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