Every January, the same resolutions show up: eat better, exercise more, finally learn that language, finally figure out that production use case for AI agents (OK, this one isn’t so typical unless you operate in our universe). 

But if you're responsible for your organization's AI strategy, we'd like to suggest a different one for 2026: **stop letting AI be a cost center**. 

Because that’s going to kill your ability to actually drive maximum agentic AI value.

In case you missed it over the holidays, we shipped something that can help. We were going to wait until now to announce, but the [Christmas gift angle](https://konghq.com/blog/product-releases/metering-and-billing-kong-konnect)Christmas gift angle was just too good not to take advantage of. Konnect Metering & Billing is now generally available — bringing monetization, billing, and real-time cost governance to the same platform that already manages your APIs, AI gateways, and event streams.

Set yourself up to succeed in the [age of AI connectivity](https://konghq.com/blog/news/the-age-of-ai-connectivity)age of AI connectivity. Here's the TL;DR on why it matters and how it can make 2026 the year your AI program starts paying for itself.

Last year, enterprises went all-in on AI, and as many as [9 out of 10 orgs were actively adopting AI agents](https://konghq.com/resources/reports/agentic-ai-enterprise-adoption-report)9 out of 10 orgs were actively adopting AI agents. The investments were real. The experiments were plentiful. 

The ROI? For most organizations’ finances, it's not even TBD. [It's flat-out negative](https://konghq.com/blog/enterprise/hidden-ai-fragmentation-tax)It's flat-out negative (think a quarter of orgs bleeding 16% or more gross business margins).

The problem isn't the technology — it's the lack of financial governance infrastructure around it. 

Most AI programs today can't answer basic questions: What does it cost to serve a single customer? Which products are margin-positive? Who's burning through LLM tokens without generating value? How much does all that stuff behind my MCP server (the APIs and event data that are the actual context for MCP to leverage) actually cost as a part of agentic workflows?

If any of this sounds familiar, you're not alone. (If it doesn’t sound familiar, you may want to take a look at the financial situation of all of these resources, as you [might be part of the 84% of orgs hemorrhaging margins](https://konghq.com/blog/enterprise/hidden-ai-fragmentation-tax)might be part of the 84% of orgs hemorrhaging margins and not know about it yet.) 

Either way, you don't have to carry that ambiguity into the new year.

Konnect Metering & Billing gives you a unified engine for metering, billing, and governance — spanning APIs, LLMs, (and eventually) MCP servers, and event streams. 

• - **Meter everything, bill anything**. Turn AI and API traffic into revenue. Support usage-based pricing, tiered plans, credits, subscriptions, or custom enterprise deals — all without custom dev work.
• - **Real-time enforcement, not just reporting**. This is what separates Konnect from standalone billing platforms. Because your Konnect Gateway infra sits at the runtime layer, usage limits and entitlements can be enforced at the point of access — before costs spiral, not after.
• - **APIs are part of your AI strategy**. Your AI products don't run on LLMs alone. The backend APIs, data services, and integrations that power them all contribute to your cost structure and your monetization opportunity. One platform covers it all.
• - **Proactive FinOps**. If you're investing in AI FinOps, this is how you make it strategic. Real-time visibility by customer, product, or team. Quotas and alerts that actually prevent overages. The foundation for treating AI like a business, not a science project. Konnect Metering & Billing is not an AI FinOps tool. *It’s an AI FinOps supercharger*.

Want to learn more? Get an overview of [AI monetization](https://konghq.com/solutions/ai-monetization)AI monetization, get a deeper dive in [this Konnect Metering & Billing blog](https://konghq.com/blog/product-releases/metering-and-billing-kong-konnect)this Konnect Metering & Billing blog, or dig into the [Metering & Billing docs](https://developer.konghq.com/metering-and-billing/)Metering & Billing docs.

So, as you’re returning to work from the holidays, you don’t have to work that hard to figure out how to answer your coworkers’ much-too-often-asked questions about your New Year’s resolutions. You can just copy and paste the below and share.

### **The resolution and how Konnect helps**

• - **Get visibility into AI usage: **Real-time metering across the full AI data path — LLMs, APIs, events
• - **Monetize our AI capabilities:** Flexible product catalog with usage-based billing out of the box
• - **Stop surprise AI overages**: Runtime enforcement of quotas, limits, and entitlements — especially on LLM tokens
• - **Prove ROI to the CFO:** Customer-level and product-level margin visibility
• - **Unify our billing stack:** One platform for API and [AI monetization](https://konghq.com/solutions/ai-monetization)AI monetization
• - **Somehow convince my leadership to fund my API & eventing projects with all that coveted AI budget:** Build out a proposal that showcases unified cost governance and monetization of the entire AI data path in your existing Konnect platform

The companies that win with AI won't just be the ones with the best models — they'll be the ones with the best unit economics. That means knowing what every capability costs, pricing it appropriately, and enforcing governance at runtime.

That's what Konnect Metering & Billing delivers. And it's available now.

Here's to a 2026 with better margins, clearer costs, and AI programs that actually show ROI. Happy New Year from the Kong team!

Ready to get started? Learn more by [reading the documentation](https://developer.konghq.com/metering-and-billing/)reading the documentation or [request a demo](https://konghq.com/contact-sales)request a demo.

*Looking to discover more about AI connectivity? ****Join us live from the New York Stock Exchange on February 2.**** Kong's leadership team will show you how to unify your AI data path and move from fragmented experiments to production-ready infrastructure. *[*Register now!*](https://konghq.com/events/webinars/building-for-the-ai-connectivity-era)*Register now!*