How we designed the NeuroOffice AI agent architecture
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NeuroOffice is a suite of AI agents built into Y-tech Bank’s business layer. Here’s the architecture we’re building and the tradeoffs we’re making- including what works today and what’s still ahead. The core challenge: several specialized agents, one shared data foundation. Each agent needs different data, has different latency requirements, and produces different output. But from the user’s side it should eventually feel like one coherent system, not several separate chatbots. Where we are…
1Key Takeaways
- NeuroOffice is a suite of AI agents built into Y-tech Bank’s business layer.
- Here’s the architecture we’re building and the tradeoffs we’re making- including what works today and what’s still ahead.
- The core challenge: several specialized agents, one shared data foundation.
- Each agent needs different data, has different latency requirements, and produces different output.
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that neuroOffice is a suite of AI agents built into Y-tech Bank’s business layer.
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