Property Rental Provider

We took a disciplined, staged approach to account for the rapidly evolving AI ecosystem. Starting with a proof of concept using GPT-4.1 Mini, we validated core capabilities such as translation, classification, summarisation, and follow-up questioning on real resident data. As newer models became available, we upgraded to improve speed and accuracy for chat-based workflows. We evaluated multiple agent frameworks, selecting one that aligned with the client’s existing technology stack while keeping future migration options open. Through experimentation with different grounding techniques, we optimised both AI behaviour and data design before progressing through a rigorous national-scale security and compliance review.

Once approved, the solution was engineered into a production-ready platform with a responsive chat interface, microservices architecture, duplicate detection, telemetry, and extensive testing. A controlled rollout using feature flags allowed continuous monitoring and refinement. The final outcome is an AI conversational assistant that converts unstructured resident requests into clean, consistent, and actionable maintenance jobs. Residents benefit from a simple, guided dialogue, while maintenance teams receive accurate, prioritised, and duplicate-free requests that improve triage, scheduling, and service quality. Client feedback highlighted the step-change in resident experience, operational clarity, and the strength of the collaborative, business-focused delivery approach.