B2B pricing is still way harder than it should be, even in 2026. In this conversation, Tina Kung, Founder and CTO at Nue.ai, breaks down why quote to revenue can take weeks, and how a flexible pricing engine can turn it into something closer to one click.
You will hear how fast changing pricing models, AI driven products, and new selling motions are forcing revenue teams to rethink the entire system, not just one tool in the stack.
Key takeaways
• B2B quoting is basically a shopping cart, but the real complexity is cross team workflow, accounting controls, and downstream revenue rules.
• Fragmented systems break the moment pricing changes, and in fast markets that can mean you only get one real pricing change per year.
• AI companies often evolve from simple subscriptions to usage, services, and even physical goods, which creates billing chaos without a unified backbone.
• Commit based models can make revenue more predictable while staying flexible for customers, but only if you can track entitlement, burn down, overspend, and approvals cleanly.
• The most useful AI in revenue ops is not just insight, it is action, meaning it can generate the right transaction safely inside a system of record.
Timestamped highlights
00:43 What Nue.ai actually does, one platform for billing, usage, and revenue ops with intelligence on top
02:43 Why a one minute checkout in B2C turns into weeks or months in B2B
05:28 The real reason quote to revenue stays broken, fragmentation and brittle integrations
08:03 How AI era pricing evolves, subscriptions to consumption, services, and physical goods
12:51 Why Tina designed for flexibility from day one, and what 70 plus customer calls revealed
19:42 Transactional intelligence, AI that can create the quote, route approvals, and move revenue work forward
A line worth keeping
“It should be as easy as one click.”
Practical moves you can steal
• Map every pricing change to the downstream work it triggers, quoting, billing, revenue recognition, and approvals, then measure how many handoffs exist today.
• If you sell both self serve and enterprise, design for multiple selling motions early, because the same objects can have totally different context and risk.
• Treat pricing as a product surface, if your systems make changes slow, you are giving up speed in the market.
Call to action
If you want more conversations like this on how modern tech companies actually operate, follow the show on Apple Podcasts or Spotify, and connect with me on LinkedIn for clips and episode takeaways.