Schematic

Schematic just won a customer that may be our fastest growing customer to date. Here's why: 1. Their CRO needs to be able to sell flexibly to enterprise customers' requirements & their custom plans have to support deal-level customization, especially around credit commits. But at the same time, they need to be able to handle PLG customers too on standard plans with great trial & self-serve upgrade experience and flexibility. 2. Their CTO needs to drive product differentiation, not reinvent the wheel when it comes to entitlement management, real-time enforcement, metering, and usage billing. At the end of the day, the fact that Schematic handles real-time enforcement and metering from the same system was super compelling to them. 3. Their business model needs to shift consumption to capitalize on the value they're providing and make sure the company has the right story for capital raises in the future. Seat-based pricing produces COGS compression given the nature of their product, but more importantly for them right now is that it doesn't align their pricing with the value they deliver.

Big week from the team at OneCrew - launched a monthly-metered product alongside our annual subscription with Schematic - stood up observability for production AI systems with Langfuse - built a custom CPQ app card inside of HubSpot for our Sales reps - started candidate interviews for our Product Manager opening (link below) https://lnkd.in/eVfzWJks

Seven platforms on the path from a signed deal to cash in the bank, and AI agents are now running pieces of it end to end. The LARGEST session of the two days. Session 5 of Operators Guild Demo Day 2026. Sept 10, 10:10 a.m.-12:00 p.m. PT: MonetizeNow, Zenskar, Hyperline, Dealops, Schematic, Tabs and Turnstile. MonetizeNow is an AI-powered quote-to-revenue platform that unifies CPQ, billing, metering, and revenue recognition on a single contract data model. It helps B2B SaaS teams move from quote to revenue without stitching together separate CRM- or ERP-dependent systems. Zenskar helps companies automate complex billing across usage-based, subscription, hybrid, and custom pricing models, with an AI Co-Pilot that learns your pricing and billing rules and cuts manual work by 80%+, plus a Contracts Agent that pulls billing terms straight out of customer agreements. Hyperline covers CPQ and contracts through billing, payments, collections and RevRec, with an MCP server, Collection Agents, and Sentinel watching for revenue risk. It integrates with Rillet, Campfire, Anrok and more. Dealops is an AI-native pricing and CPQ platform built for teams shipping complex pricing models, including usage, credits, outcomes, ramps, pilots, minimums, and tiers. It helps revenue teams launch pricing faster, manage approvals, and test what works without waiting months on implementation. Schematic gives software and AI companies usage-based billing customers can trust, with real-time entitlements, credit wallets, usage metering, spend controls, forecasts, and configurable limits so nobody gets surprised by a runaway bill. Tabs is an AI-native revenue platform that reads and structures contracts, pricing terms, obligations, and unstructured revenue data, then hands off to deterministic workflows for billing, collections, revenue recognition, and reporting. Turnstile is a flexible quote-to-cash platform for human and agent teams, giving sales-led B2B companies one trusted system of record for pricing, quotes, contracts, subscriptions, billing, and reporting. Its read-and-write MCP lets agents draft quotes, chase collections, and move approvals against governed commercial data. Each tool demos, then takes live Q&A. RSVP: https://lnkd.in/eihpGtBb

Many companies are shifting from seat-based billing to hybrid & consumption billing, especially credit-based pricing. The hardest part of making the transition is to do so in a way your customers trust, particularly in enterprise deals, where custom pricing, tailored entitlements, ramp periods, usage commits, and overages stack complexity on top of a model the buyer is already uneasy about.

“We had just built our first AI product, and we didn’t have a way to monetize it…” Macabacus needed to introduce usage-based pricing without asking its engineering team to build and maintain a metering system from scratch. And because their customers are banks and financial institutions, they needed to give buyers predictability around spend with usage caps, bundles, and top-ups. Rahul Gill, Director of Product & Customer Enablement, shares why they chose Schematic as their usage-based billing partner.

Last week we released agent first onboarding that completely shifted my mindset about good product UX. You can now onboard into and implement Schematic fully with Claude or your agent of choice. Instead of completing forms, clicking around to create your plans, etc, it's just a guided conversation with your agent. We've even added a consultative skill to our MCP so that it can help you figure out the right pricing while you implement it. I was able to sign up, model pricing, start metering events, drop in a billing portal, and monetize a sample app in about 20 minutes. It felt like magic. This isn't a new idea but it has fully clicked for me: The agent is the new UI. Or at least... it's another UI you must design for in a first class way. Any new feature you ship, you must consider how an agent/MCP will interact with it. How will the user's agent interact with this? How might an agent autonomously interact with it? Do you need app UI at any point the process? What can agent do that app UI can't and vice versa? Do I think this means the death of UI? No. Not yet at least. I think there is a time and place for really thoughtful, information dense, tactile UI experiences. In fact, we're making sure the agent MCP experience seamlessly pulls in app UI when it's the right tool. Curious how other product and design people are experiencing this shift.

The reason customers push back on credit systems usually isn't the price of the credits. It's what they can't see. If they can't check their balance in real time, they assume they're being overcharged. If they can't forecast where their consumption is heading, they buy conservatively and never expand. If they can't control who inside their company is spending, they lock the system down or leave. I have a framework for this. ↓ Three pillars, in this order: Measure, Predict, Control. Each one addresses one of the three silent questions a customer is asking when they look at your credit system: ▪️ MEASURE - can they see, in real time, exactly what they've spent and on what? ▪️ PREDICT - can they see whether they're on track or heading for a shortfall? ▪️ CONTROL - can they set who's allowed to consume, and get notified before they run out? If any of the three is missing, trust in the system erodes. It doesn't matter how generous the terms are. The full framework is in the infographic below. Save it for the next time you're designing (or redesigning) a credit system.