Integrate AI Into Desktop

I have an established desktop application that needs AI woven directly into its core workflow. The codebase is stable and well-documented; what I am missing is the intelligence layer that will make the software faster, smarter, and more autonomous.

Here is how I see the engagement unfolding:

• Audit the current architecture to spot the cleanest insertion points for the AI logic
• Design and implement the integration (model selection, data flow, error handling, and performance optimisation) inside the desktop environment
• Thoroughly test the new build, then hand over concise technical documentation and a short walk-through so my team can maintain it

I am flexible on specific frameworks or languages as long as the final solution installs cleanly, runs offline, and does not bloat the existing footprint. Please bring proven experience integrating AI into desktop software, a clear outline of your proposed approach, and at least one relevant example I can run locally.