Innovation Week Prague 2025: AI Is No Longer “Nice to Have.” It’s Infrastructure.
- sofiacharvatova
- 2 days ago
- 3 min read
From this year’s Innovation Week Prague 2025, our team at Elevon.io came back with three key insights:AI is no longer a future topic but a core infrastructure; autonomous companies will soon interact with each other—and with banks—directly; and innovation now appears in the most unexpected places—from payments to fan engagement.
“Those who don’t start working with AI today will soon become irrelevant to both their customers and partners.”
1) AI is not a feature. It’s a requirement.
This year’s Innovation Week made one thing clear: AI has moved beyond experimentation.From panel discussions to backstage conversations, the message was consistent—companies must define their role in the AI ecosystem and start building systematic adoption across strategy, data, processes, security, and governance.
The key shift? AI is becoming part of Enterprise Architecture (EA) - not a plug-in, but a core layer powering decision-making, automation, and customer experience. Where AI once “accelerated tasks,” it now manages full micro-processes - from detecting opportunities to executing transactions.
2) Visa × Raiffeisen × ČSOB CZ: Autonomous Companies Need a Prepared EA
In a joint panel with Visa, Raiffeisenbank, and ČSOB CZ, a critical puzzle piece clicked into place:To enable autonomous collaboration between companies and banks, we need the right technical and data infrastructure - from data contracts and APIs to identity management, auditability, and observability.
Why it matters:
Autonomous agents will act on behalf of both companies and banks. They must rely on trusted data, access policies, and a verifiable chain of trust.
B2B decision-making will accelerate. Meetings won’t drive actions—real-time data on cash flow, inventory, demand, and risk will.
Banks will evolve from “places that offer products” to intelligent partners that can predict needs and propose optimal solutions via standardized interfaces.
A real-world scenario
Imagine a small, medium, or large enterprise where a financial AI agent continuously monitors cash flow, receivables, and forecasts.Once it detects a liquidity gap, it can automatically:
Prepare documentation
Contact multiple banks via API
Compare offers based on price, flexibility, and terms
Recommend—or even execute—the best option within governance limits, maintaining a full audit trail and human oversight if required
On the other side, banks can deploy their own agents that proactively offer revolving credit, factoring, or hedging when a company’s AI signals demand.This is the future of B2B communication—and EA is its foundation.
3) The Surprise of the Day: AC Sparta Praha – Where Emotion Meets Data + a 24/7 Fan Shop
A great example that innovation doesn’t live only in data centers but also in the stands.Simple, secure card payments are becoming a bridge between emotion and data, improving fan experience and enabling smarter services both during and beyond match day.
How it works:
Faster card payments mean shorter queues and smoother purchases. With consent, the club collects transaction insights (when, where, and what fans buy).
Loyalty integration: The card is linked with membership accounts, automatically collecting points and rewards—no manual codes needed.
One card = payment + rewards: Works across food, drinks, and merchandise, fully trackable in the club app.
Smarter inventory planning: The club knows what sells before, during, and after the match and adjusts bundles and offers accordingly.
A 24/7 interactive fan shop
Integrated with the club app and loyalty system
Click & collect or home delivery options with match-day promotions
Automated campaigns (pre-match bundles, post-match limited editions), all auditable and effortless
The results:
Fans: faster service, transparency, and clear rewards
Clubs: better conversion, less cash handling, and improved data visibility
Partners: measurable activations and fair campaign evaluation
What We Took Away
AI as infrastructure: Stop adding AI to projects. Start building projects on AI.
Prepared EA enables autonomy: Without standardized data, APIs, and governance, agents can’t scale.
B2B as agent dialogue: Negotiation, financing, and risk management become continuous system-to-system conversations.
Innovation happens at the edge: A payment card + 24/7 fan shop outside the stadium—proof that experience is where real innovation lives.
How We Approach It at Elevon.io
We help enterprises prepare their architecture for autonomous agents—from data models and access policies, to API design, orchestration, security, and audit readiness.
On the financial side, we collaborate with partners to enable secure, explainable, and regulation-compliant interactionsbetween enterprise and banking agents.
If you’re wondering where to start, focus on three practical steps:
AI-ready data: Organize data sources and establish formal data contracts.
Event-driven processes: Convert key business signals (cash flow, demand, inventory) into events that trigger agents.
ROI-based pilot: Choose one micro-process (e.g., short-term financing), set a measurable target, and deploy your first autonomous agent.
In Conclusion
Innovation Week Prague 2025 reminded us that the future isn’t “somewhere else.”It’s already happening across accounting, enterprise negotiations, and fan engagement. Those who embed AI into the foundation of their architecture won’t gain a cosmetic upgrade. They’ll gain a new operating system for their company.
Want to discuss how to make your organization AI-ready and launch your first autonomous agent? Let’s connect - we’ll be glad to meet.