Enterprise AI Decision Engine Enhancement

I’ve already built a working AI-powered commercial decision engine that lets business users ask natural-language questions and receive strategy-level answers. Now I want to take it to the next level for large enterprises.

What I need:
• Solid integration with complex internal databases so the engine can pull clean, reliable data on demand.
• Expansion of the insight library to cover financial performance analysis, market-trend analysis, operational-efficiency insights, plus commercial strategy, operation and CRM perspectives.
• Robust, enterprise-grade architecture (security, scalability, logging, role-based access) so the solution works inside Fortune-500-style environments.
• Fine-tuning of the natural-language layer—ideally using modern LLMs or RAG techniques—to understand varied executive phrasing and industry jargon.
• A lightweight front-end (React, Angular or similar) that presents findings clearly and lets users drill down or export results.

Nice-to-have flexibility:
While our current focus is internal databases, I’m open to planning hooks for future external API or spreadsheet connectors.

Deliverables:
1. Technical plan outlining data-source connection, model workflow and security measures.
2. Implemented code or modular enhancements, fully documented and containerised for easy deployment.
3. Demo walkthrough showing the engine answering sample enterprise questions across the four insight categories.
4. Handover session so my team can maintain and extend the solution.

If you have proven experience in NLP, enterprise data engineering and AI decision-support systems, I’d love to collaborate. Show More