LLM Integration into Car Claim Processing
We transformed the manual insurance claim process into a fully AI-automated pipeline using large language models and computer vision, significantly reducing processing time and cost.
AMA Consulting Services
AI and Machine Learning Development
AMA Consulting develops AI- and machine-learning-related functionality for software products. We help clients evaluate implementation approaches and build integrations or application features within an agreed technical scope.
- LLM
- GPT
- Claude
- LangChain
- RAG
- MLOps
- Vertex AI
Who This Is For
- Product teams exploring AI functionality within an existing application.
- Startups and scaleups implementing LLM integrations.
- Technology businesses working on document, image or data-driven application workflows.
What We Can Help With
- LLM integrations and AI-powered application features.
- Implementation approach and integration planning for a specific use case.
- Machine-learning-related application development within an agreed scope.
- Computer-vision and data workflows reflected in our published automotive and insurance cases.
Ways to Engage
Discuss dedicated engineering capacity, an AMA-managed team or a defined AI feature or integration project. Feasibility, data needs and delivery boundaries are scoped before implementation.
Compare working relationships and commercial pricing methodsRelevant Work
AI-Powered Car Market Intelligence
We developed a smart data collection and analytics system for the used car market, enabling real-time insights on pricing trends, listing durations, and model-specific behaviors.
AI Car Loan Estimator
We built an AI-powered loan estimation tool where users simply upload a photo of their car to instantly receive financing options based on real-time market data and LLM analysis.
Photo Widget
We developed a fully guided photo capture experience powered by in-browser AI, helping users take accurate car photos from all required angles, and enabling instant damage detection—all without server-side inference.
How to Start
- Describe the use case, existing product and available data or integrations.
- Discuss implementation options and technical constraints.
- Agree a practical scope, responsibilities and delivery approach.
FAQs
Can you integrate AI into an existing software product?
Yes. AI integrations and application features are part of this service. We first discuss the product, use case and technical scope.
Do past case outcomes guarantee the same result for a new project?
No. The published cases describe specific projects. Data, requirements and integration constraints differ, so the approach and scope are agreed for each engagement.
Discuss Your Engineering Needs
Book a meeting or send an inquiry to discuss your requirements and an appropriate way to work together.