Düsseldorf changed everything for BSS

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In October, Totogi set out to do something audacious at The AI-Native Telco Forum in Düsseldorf: build a complete telco BSS from scratch. Live. In public. In one day.

We delivered six core BSS modules plus five audience-requested features. Final tally: 617,000 lines of production code and 316 versions shipped to production. All built in nine hours by one forward-deployed engineer.

Why would we do this? Why put ourselves on the line like that, with industry executives from Deutsche Telekom, BT, Vodafone, and other operators watching every line of code?

Because nobody believes BSS Magic actually works.

When Elon Musk first started talking about colonizing Mars in the early 2000s, people laughed. Mars? Seriously? But he didn’t ask anyone to believe him. He methodically proved the task’s feasibility, and his commitment to it, one impossible thing at a time. Land a rocket booster? Done. Reuse it? Done. Launch humans to orbit? Done. With each milestone ticked off the list, he proved more skeptics wrong.

That’s what we’re doing with BSS Magic.

So when I say that telcos will soon build their own BSS modules using AI, completely escaping vendor lock-in, I understand the skepticism. I’d be skeptical too.

But here’s why you should be paying attention to what Totogi did in Düsseldorf: we’re not asking you to believe us. We’re proving we’re right. Methodically. In public. With real code and real customers. One impossible thing at a time.

And what we’re proving has massive implications for how you’ll run your business in the next five years.

The three things nobody believes

When we talk about BSS Magic, we run into the same three objections every time:

1. “It’s not production-grade code.”

Fair. The industry is littered with slick demos that fall apart the moment you try to use them for real work. Pretty slides, canned scenarios, pre-written code. Smoke and mirrors.

2. “It can’t integrate with OUR Frankenstein BSS estate.”

Good point. You have 200+ systems. Ancient COBOL running on mainframes. Proprietary vendor APIs that were never meant to talk to each other. Homegrown apps held together with duct tape and prayers. Every telco’s stack is a unique snowflake of technical debt. “Maybe your AI can build shiny new modules,” you’re thinking, “but connecting to our reality? Impossible.”

3. “AI can’t handle real enterprise telco complexity at scale.”

The final objection. Building a simple module with test data is one thing. But real telco software? With regulatory requirements, security audits, and business logic accumulated over decades? That’s a different game entirely.

So we’re proving we’ve solved every one of these problems. Systematically. Here’s where we stand.

Proof point #1: This is real, production-grade code

Status: ✅ PROVED

Düsseldorf was all about proving this first objection wrong. We didn’t just talk about what BSS Magic could do. We showed it in public.

Not a demo. Not pre-written code we pretended to build live. Actual production software, written in real-time, with industry observers watching.

The plan was ambitious: five core BSS modules plus one audience-voted feature. We overdelivered: six core modules plus five audience features, with, as I mentioned above, a total of 617,000 lines of production code and 316 versions shipped to production.

To prove it wasn’t smoke and mirrors, we let attendees test the live production builds throughout the day. When they had ideas for additional features, we built them on the spot—in about 10 minutes each.

The response? One CxO from a major European telco told us: “We’ve been trying to achieve full convergence for years. BSS Magic is taking a novel approach to that problem.”

Did we prove we can build production-grade code with AI? I think we did.

But that’s just proof point number one.

Proof point #2: It integrates with your systems

Status: ⏳ IN PROGRESS

“Okay,” you’re thinking. “Nice demo. But my environment isn’t a clean slate. I have systems from 50 different vendors, custom code written by developers who retired in 2008, and APIs that break if you look at them wrong.”

This is the objection that matters most. Because you’re right—building shiny new modules in isolation doesn’t solve your problem. The magic happens in integration. Can BSS Magic actually connect to your existing estate?

Here’s our answer: we believe so, and we’re proving it right now at ten different accounts.

The secret sauce of BSS Magic is what we call our “telco ontology.” Other vendors are bolting AI onto their existing products without thinking about context—or your full BSS estate. They train a model, ship it, and hope for the best. But here’s the problem: AI without context is just expensive pattern matching.

Our ontology IS the context layer. We taught our AI everything about how telco works: TM Forum’s Open Digital Architecture, 3GPP standards, decades of industry knowledge. But more importantly, it models YOUR specific telco: your processes, your business rules, your exceptions. And critically, it maintains that context as your business evolves.

This isn’t AI as a feature. It’s AI as architecture.

The ontology acts as a universal translator. It understands your legacy systems, your customer database, your business rules, your billing complexities—even if they were never designed to talk to each other. BSS Magic sits on top of your existing systems so you can build new capabilities without ripping and replacing anything.

Can we prove this works? It’s hard to do in public. But in private at individual telcos: you betcha.

If you want to see this work in your environment, let’s talk. Because proof point #2 gets proven by doing it with real customers, in real environments, solving real problems.

Proof point #3: You can build anything you want

Status: ⏳ PROVING NOW

Here’s my thesis for proof point #3: if you have AI that generates production-grade code, and you can integrate with any system, then logically you should be able to build anything you want. A + B = C.

We demonstrated this partially in Düsseldorf—six modules in nine hours, features added in 10 minutes each. But “anything you want” is a big claim. Can we build a convergent billing system? An AI-powered customer care platform? Launch new BSS systems for new brands in minutes?

The answer is yes. But we need to prove it across more use cases, more complexity, more scale.

If I’m right about this equation, it changes the way you’ll think about BSS going forward. It means no more product launches that take months. No more waiting for vendor roadmaps. No more multimillion-dollar professional services contracts for simple changes. No more being held hostage by the only team that understands your legacy code.

You want to launch a new pricing plan? Do it quickly. You want to add a feature your competitor just launched? Build it easily. You want to migrate off a legacy system that’s holding you back? Now done with a lot less stress.

This is what we’re proving right now, one customer at a time.

We’re expanding what’s possible

We’ve crossed a threshold. We’ve proven that AI can build enterprise-grade telco software faster than humans ever could.

We’re not saying “trust us.” We’re saying “test us.” We demonstrated our abilities in Düsseldorf. We’re integrating systems in customer pilots. We’re proving our claims by shipping production code that actually runs telco businesses.

We know we still have work to do. We need to prove integration works across more systems. We need to prove we can build more types of BSS modules. We need to prove it scales.

But this isn’t a fantasy anymore. It’s not vaporware. It’s happening right now.

If you’re tired of vendor lock-in, tired of waiting years for simple changes, tired of spending millions on problems that shouldn’t be that hard, let’s talk.

Because the best way to prove BSS Magic works is to let us prove it works for you.

Want to see it for yourself? You know where to find me—I’m working hard to build rockets for telco with BSS Magic. 🚀

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