I’m a software developer working at a bank, and I feel like we’re way behind when it comes to AI adoption. Every time AI comes up, the conversation is mostly around security, compliance, data privacy, etc. I understand these are important, especially in banking, but it feels like we’re moving extremely slowly. For example, our bank deployed a GPT model through Azure AI Foundry and built an internal ChatGPT-like interface for employees. That’s pretty much the extent of AI adoption I’ve seen so far. Meanwhile, I keep seeing people talk about using Claude Code, Cursor, AI agents, and building AI-powered features using LLM APIs. I’m curious how things work at other companies. • Are you actually building AI-powered features using APIs from OpenAI, Anthropic, etc.? • How does your company approach new AI initiatives? Do developers get to experiment and propose ideas, or does everything have to go through multiple approval processes? • How are you handling security and compliance concerns when integrating AI into existing applications? • Are companies actually using AI agents and automation in production, or is most of it still experimentation? I’m especially interested in hearing from developers working at banks, fintech companies, or other large enterprises. I want to understand what real-world AI adoption looks like beyond just building an internal ChatGPT wrapper. How is your company approaching this? Are you seeing meaningful AI adoption, or is it mostly hype and internal chatbots? submitted by /u/Due_Direction_1867
Originally posted by u/Due_Direction_1867 on r/ClaudeCode