Modernising legacy systems in UK banking and financial services

Thoughtbot's guide to modernising legacy systems in UK banking and financial services highlights that transformation now extends beyond code replacement to include process redesign, cultural shifts, and stringent risk‑averse governance. For website owners, the article underscores that as banks adopt AI‑driven front‑ends and automated customer journeys, the volume of AI bot traffic to their digital channels will surge. Legacy‑heavy sites often lack the granular logging and real‑time monitoring needed to differentiate legitimate user flows from AI‑generated requests, increasing exposure to compliance breaches and performance bottlenecks. **Actionable tips:** 1. Update your llms.txt file to explicitly list the new banking AI agents (e.g., “OpenAI‑ChatGPT‑Banking”, “Google‑Gemini‑Finance”) and set clear crawl‑rate limits, preventing these bots from overwhelming legacy APIs. 2. Deploy a dedicated AI‑bot detection layer (e.g., behavior‑based fingerprinting) that flags traffic deviating from typical human interaction patterns such as rapid form submissions or API calls lacking session cookies. 3. Integrate real‑time alerting with your site’s security information and event management (SIEM) system to automatically quarantine suspicious AI traffic, ensuring that legacy infrastructure remains stable while the bank’s digital transformation progresses.