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# Agentic employees in world's most downloaded FinTech app


- **Date:** Thursday, Jul 9, 2026
- **Time:** 15:30–16:00 (30 min)
- **Room:** Stage 7
- **Event:** World Congress 2026 Europe

## Recording

[Watch recording](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app)

## Description

Imagine 20 engineering teams, each with their own AI engineering teammate—reviewing PRs, triaging incidents, automating repetitive tasks 24/7, answering on daily support tickets, investigating reports, creating action points and improving based on the provided feedback. 

We scaled AI-powered automation from a single proof-of-concept to autonomous agents across our organization, each acting as a virtual engineer for their team. Unlike centralized chatbots that provide generic answers, each team's AI has deep domain expertise: it knows their codebase, their Jira workflows, their on-call runbooks. These bots don't just suggest solutions—they execute them. Collectively, they handle 300+ hours of work per week, automating 55-65% of routine platform engineering tasks.

But scaling AI automation isn't just multiplying one bot by 20. We faced brutal challenges:
How do you prevent credential leakage when teams can trigger bot actions?
How do you  govern security across 20 independent agents? 
How do you share learnings across teams without creating a bloated one-size-fits-all monster?

This talk reveals the architecture, economics, and organizational dynamics of running AI teammates at scale. You'll learn why we chose physical laptops over VMs, how we built a security framework that catches attacks the LLM misses, and the surprising patterns that work across teams (PR reviews, incident triage) versus those that need deep customization (team-specific deployments, domain knowledge).

We'll share real metrics: 300+ hours/week saved, sub-1% security false positive rate, 60% ticket automation rate, and the feedback loop that improves all 20 bots simultaneously. You'll see the mental shifts teams went through from "the bot is a toy" to "the bot is on-call," and why treating AI as an employee (not a service) changed everything.

## Speaker

### [Sasa Fajkovic](https://www.wearedevelopers.com/@sasa-fajkovic)

AI and DevEx Lead at Trade Republic


## Related talks at this congress

- [5 things I wish I hadn’t done building my AI agent](https://www.wearedevelopers.com/events/world-congress-2026-europe/sessions/1152-5-things-i-wish-i) — Shachar Azriel
- [This App Reached 10,000 Users in One Week. Here's How.](https://www.wearedevelopers.com/events/world-congress-2026-europe/sessions/1474-this-app-reached-10) — Mahran Meißner
- [From AI Assistance to Agentic Systems: Scaling Sovereign AI in Banking](https://www.wearedevelopers.com/events/world-congress-2026-europe/sessions/1075-from-ai-assistance) — Julia Koch, Markus Hacker
- [The AI-Native Engineering Org: What’s Real, What’s Hype, What’s Next](https://www.wearedevelopers.com/events/world-congress-2026-europe/sessions/975-the-ai-native) — Taroon Mandhana, Sebastian Kister