Case Studies

Real AI automation and SaaS projects: problem, solution, and results for startups and growing businesses.

AI-Powered Chatbot for Financial Services

Problem: A financial services client needed 24/7 answers to loan, insurance, and investment queries without scaling support staff.

Solution: We built an AI-powered chatbot with RAG and LLM integration, trained on product and policy documents, with a secure Angular front end and Python API.

Result: Response time dropped by ~75%, enabling round-the-clock support. The bot handles common queries so humans focus on complex cases.

Technology: Angular, Python (FastAPI), OpenAI/Anthropic, RAG, vector store.

AI Analytics Dashboard for Business Intelligence

Problem: A growing business had multiple data sources but no single place for KPIs and AI-driven insights.

Solution: An AI SaaS dashboard aggregating APIs and databases, with real-time charts, filters, and an AI layer for recommendations and anomaly detection.

Result: Executives use one dashboard for daily decisions. Manual reporting time decreased; AI insights surfaced trends earlier.

Technology: Angular, Python/Django, REST APIs, charting libraries, LLM-based insights.

AI Video Generation Platform

Problem: A content and marketing team needed short, consistent video assets at scale without a full production team.

Solution: An AI video platform where users input scripts and templates; the system generates clips with AI voice and visuals via Angular UI and Python orchestration.

Result: Many more assets in less time with consistent branding — used for social, training, and product demos.

Technology: Angular, Python (FastAPI), AI video/voice APIs, cloud storage, workflow automation.

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