By Torbjørn Wangen Beining & Edgar Grane, AI Engineers at Antire

Life could be a dream…and honestly, with the right AI structure in place, it kind of is.

At least that’s how it felt when we got on stage together at AI Week 2025—Norway’s biggest gathering of AI brains and builders—to share something we’ve been cooking up at Antire: a future-ready framework we call SHABOOM. Yes, it has a name that sounds like it belongs in a 50s doo-wop song. And yes, it’s very intentional.

SHABOOM stands for Synergetic, Scalable, Hyperdynamic, Semi-Autonomous, and Business-Oriented Model. (Try saying that five times fast.)

But behind the playful name lies a powerful, modular framework for building AI agents that actually solve business problems—structured for complexity, built for speed, and designed to evolve.

Watch the full AI Week presentation here

We’re part of Antire’s AI Strike Team – and here’s why that matters

At Antire, we’re proud to be part of the AI Strike Team—a task force of engineers, architects, and advisors brought together to explore and deploy AI across real business use cases rapidly. It’s not just a name; it’s a mindset.

The Strike Team exists to bring AI out of the lab and into your operations. We combine deep technical know-how with sector-specific insight to identify where AI can create real, lasting value—and then build, test, and deliver fast.

Whether it’s forecasting, process automation, ERP extensions, or virtual coworkers like the ones we demoed at AI Week, we strike where it counts: with purpose-built solutions that are quick to activate and easy to scale.

Why we built SHABOOM

Here’s the reality: companies come to us saying, “We want AI.” But what they often mean is, “We want to solve real problems, and we think AI might help.” Our job is to bridge that gap—turning abstract ambition into practical AI solutions that deliver actual business value.

So, we developed a framework that starts with the problem, not the model. One that can be deployed across sectors—whether it's manufacturing, hospitality, or retail—and scale with evolving needs.

At the heart of it is the Challenge Solver Agent, or what we affectionately call “Oculus.” It’s the orchestrator that connects everything: customer data, knowledge bases, ERP integrations, internet data, and more. Think of it as the AI version of the conductor in a jazz band—flexible, responsive, and capable of adapting the tempo in real time.

Why SHABOOM works: synergy, scalability, and hyperdynamic by design

An important part of SHABOOM’s power is its ability to create synergy across systems. By leveraging transformer-based architecture, it combines multiple data sources into a shared context—structured and enriched to ensure the whole becomes greater than the sum of its parts. This means smarter agents that can reason across domains, act with awareness, and continuously improve.
Each module in the structure retains and organizes relevant information, enabling self-improvement loops over time. The more data and context a module holds, the better it becomes at refining its outputs, updating itself, and coordinating with the rest of the system. It's a living network that gets sharper with use.

Scalability is built in from the ground up. Each module operates independently, meaning we can expand capacity or add new capabilities without disrupting the system. The agentic solutions themselves are cloud-native and can be deployed across multiple virtual machines—supporting usage across teams, regions, or even enterprises simultaneously. Whether you're spinning up one assistant or a hundred, SHABOOM scales without friction.

And because the structure is hyperdynamic by design, it evolves with the ecosystem around it. Each component is node-based (we like to call them kjærlighetspunkter, or “love points”—just for fun), allowing the system to flex and adapt as conditions evolve. Whether it's integrating new models (like Gemini 2.5 or GPT-5), adapting to updated regulations, or connecting with emerging protocols (like MCP or A2A), the system stays future-ready—automatically surfacing opportunities for improvement without requiring a full rebuild.

SHABOOM has scalability built in, it's created to create synergy across systems, and is hyperdynamic by design.

What SHABOOM actually does

Let’s take a real use case. A restaurant chain with 100 locations needs a virtual assistant to help kitchen staff stay on track. SHABOOM lets us spin up a role-specific agent that integrates with ERP, sends contextual alerts, helps staff remember procedures, and improves communication—all while respecting GDPR, security, and budget boundaries.

The structure is semi-autonomous, with built-in human-in-the-loop verification—critical to avoid hallucinations and keep outputs grounded and reliable.

And yes, it looks great too. We've designed it to resemble an eye (hence Oculus)—the organ that perceives the world—because that’s exactly what this system does: it observes, understands, and acts.

You can meet more of our smart agents in this piece by my colleague Mats, Head of Cloud and AI-Driven Business Applications at Antire:
Meet 8 of our smartest AI agents.

Why it matters—and where we’re going

This might sound abstract, but it’s grounded in what analysts are saying:

Gartner predicts that by 2026, enterprise AI orchestration frameworks will become standard in 80% of large organizations. Forrester notes that AI agents tailored to specific business functions are driving measurable ROI in implementation time, task automation, and user satisfaction.

In other words, SHABOOM is more than just a fun acronym. It’s part of a shift we’re seeing across the entire business landscape—from monolithic platforms to modular, agent-powered ecosystems.

And while Laura showed what this looks like for ERP systems (check out her blog if you haven’t), we’re here to show how the same approach can be applied more broadly. If you're curious, here’s where her work and ours meet.

Let’s build something smart together

The best part? SHABOOM isn’t just theory—we’ve built a working prototype, and we’re already tailoring it to real client needs. Whether you're managing IT, business apps, or dreaming up ways to bring AI into daily operations, we’d love to talk.

We believe SHABOOM represents the next evolution of AI integration—where adaptable, domain-aware agents work alongside humans to solve real problems, at scale. And this is only the beginning.

And if nothing else, we hope our little AI brain map gave you something to think about. Maybe even hum about. Because hey: Life could be a dream.