How Miro Futureproofed Monetization and Launched AI Pricing in <6 Weeks with Stigg

When a fast-moving company outgrows its internal monetization tooling, something has to give.

Miro’s monetization infrastructure started like many others at scale: built in-house. It worked well - until it didn’t.As Miro grew, so did the demands on their internal system. New product lines, tiered packages, usage-based pricing, AI-powered features, pricing experiments – all put pressure on tooling that was never designed for this kind of flexibility.

What used to be a simple plan update, became a multi-week cross-functional project. Engineering had to support every pricing experiment. Product and GTM teams had to work around packaging limitations. BI teams couldn’t get reliable usage insights. The internal system had become a bottleneck.

It wasn’t just inconvenient. It was slowing the pace of innovation across the company - from sales and marketing, to data, to product.

So Miro made a choice: continue maintaining infrastructure that wasn’t core to their product, or partner with a platform built to handle it all.

They chose Stigg.

The solution: Flexibility, speed, and scale - without starting from scratch

Miro wasn’t looking to rip and replace everything. They’d already built internal tools that worked - to a point. What they needed was a system that could slot into their architecture, scale with their growth, and let teams move faster without rewriting the world.

Stigg’s API-first platform made that possible. From day one, the integration felt native. The data model matched Miro’s mental model of entitlements and plans. Features they had scoped but never prioritized - like volume pricing or reusable add-ons - were already baked in.

The real win? Nothing about Stigg got in the way. It just worked: clean APIs, clear docs, and a UI that made testing and debugging fast. And when questions came up, the Stigg team responded quickly — and shipped improvements even faster.

“We learned a lot from how Stigg models the pricing domain. The documentation was solid, the APIs were clean, and the platform was clearly built by people who understood real-world complexity.”
_{Dima Titenko, Engineering Team, Miro}

With Stigg, Miro:

• Launched a credit-based AI pricing model
• Used add-ons to assign entitlements on a per-seat basis
• Tracked and enforced usage automatically with event-based logic
• Synced usage data into Snowflake for reporting
• Migrated tens of millions of subscriptions - no custom scripts, no disruption

“It was a joy working with the Stigg team. Everything we needed was addressed almost instantly. It felt like we were building together.”_{Dick Wiggers, Frontend Engineer, Miro}

And when it came time to migrate tens of millions of subscriptions into the new system?

It was the kind of shift every technical team wants: no overhaul, no compromises - just infrastructure that scales, adapts, and empowers teams to move faster.

Highlight: Launching AI in record time

When Miro set out to launch Innovation Workspace, a suite of AI-powered collaboration tools, they needed a brand-new pricing model to support it.

This wasn’t just a product launch. It was a monetization challenge:

• Free users received a limited number of AI tokens monthly.
• Paid users received more, based on seat count.
• Usage needed to be tracked, enforced, and reset, automatically.
• The entire model had to integrate cleanly into Miro’s frontend and backend.

Instead of building it from scratch, they configured it in Stigg.

"Three months ago, we didn’t even have AI credits. Now we have a fully functioning usage-based model with enforcement, resets, and visibility across the stack."
_{Akshay Sharma, Head of Pricing & Monetization, Miro}

What could have taken quarters was shipped in  <6 weeks.

A monetization engine built for growth: Faster launches, cleaner data, more focus

Once the AI model was live, the shift in velocity was obvious. What used to take months, aligning product, engineering, finance, and ops, now took a few weeks.

Miro rolled out usage-based pricing to millions of existing customers with a single click. New subscriptions reflected pricing changes immediately. Engineering no longer had to step in every time packaging changed.

Snowflake became a trusted source for feature-level usage insights. With clean entitlement data synced from Stigg, BI teams could finally analyze adoption trends and support smarter product and monetization decisions. But maybe most importantly: engineers were back to focusing on product.

"Working with Stigg felt like we were accelerating, not replacing. We didn’t lose control, we gained momentum."
_{[Placeholder Quote: Susan van de Ven, Head of Growth Engineering, Miro]}

Stigg now acts as a system of record for monetization logic, from entitlements to pricing to usage. It powers internal tools, billing systems, and analytics, giving Miro the flexibility to adapt pricing models to fit how customers use the product.