EXECUTIVE BREAKFAST
The new rules for scaling in 2026: a masterclass for B2B & B2C leaders
Overcoming growth roadblocks using recurring revenue, AI, and a flexible tech stack to hit your next revenue milestone.
Thursday 15 January, 2026
9:00 AM - 12:00 PM
Mortimer House | Fitzrovia, London
Jonathan Harris
Senior Director, AI Product
Zuora
Matt Cheung
CEO
Clarasys
Tom Hart
Associate Director
Clarasys
Michael Mansard
Principal Director of Subscription Strategy
Zuora
Register here
Scaling in 2026 means managing a mix of one-off and subscription offerings - whether you're converting visitors on your website, letting enterprise buyers negotiate complex contracts, or supporting millions of subscribers who want to upgrade, pause, and manage their accounts without friction.
Businesses face fragmented rules, engineering‑dependent offers, and brittle mid‑cycle changes, slowing go to market agility and scale.
So, what should you prioritise to take meaningful steps towards your next revenue milestone, whether that's £50M, £1B or beyond?
On 15 January, join Zuora and Clarasys for an exclusive executive breakfast on building an acquisition‑to‑cash system that matches the messy reality of the modern buyer - whether that’s a consumer subscribing on their phone at midnight or an enterprise procurement team negotiating a multi‑year deal.
Working groups and discussion topics
Building a hybrid growth engine
Challenge: Support diverse customer types (consumer self-service, SMB upgrades, enterprise contracts) without maintaining three separate management systems.
Focus: Defining and applying business rules universally across all channels.
Outcome: Achieve rapid regional scalability (new regions in a day vs. weeks), agility in pricing (promotional bundles in minutes), and complete customer self-management (pause, upgrade, downgrade) without reliance on support staff.
Plugging revenue leaks with AI
Challenge: Stop revenue leakage and move beyond static pricing without creating complexity (SKU chaos or lengthy engineering cycles).
Focus: Learn how to leverage AI for dynamic and predictive revenue management.
Key applications:
- Adaptive Pricing & Packaging: Real-time offer adjustments.
- Automation: Automating trial-to-paid conversions based on actual usage data.
- Churn Prevention: Analyzing behavioral data to predict at-risk accounts and enabling proactive intervention.
Designing systems that scale
Challenge: How to build a robust system capable of handling millions of consumer transactions or thousands of enterprise contracts, managing inevitable market-driven migrations without initiating multi-year projects that stall innovation.
Focus: Identifying the minimum viable pricing, packaging, and quoting backbone required for immediate needs.
Goal: Establish a modular commerce foundation designed to scale flexibly from $50M to $1B in revenue, avoiding costly system replacements every few years.
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