Featured case studies
See the real results: Proven AI in insurance operations
Insurance COOs and CUOs are proving the impact of AI workflows in weeks, not years. Firemind’s governance-first, AWS-native solutions are already delivering measurable results in underwriting and operations. Find out how to:
✔︎ Reduced review time
✔︎ Higher accuracy in key data extraction
Turning Millions of Insurance Documents into 9/10 Accurate Answers with AI
An industry leader in specialised broking and insurance, the client manages complex placements and handles large volumes of documents and correspondence between clients and insurers.
✔︎ RAG solution to make data practical and categorised
✔︎ Higher accuracy in key data extraction through direct queries
Using GenAI to streamline legal tasks for a major Irish Bank and reduce 20% time spent on routine tasks
A major Irish bank wanted to streamline its legal review process by automating complex document summarisation and contract analysis using generative AI on AWS.
✔︎ AI‑driven document summarisation
✔︎ Secure, scalable AWS-based solution
IMG ARENA achieves up to 100% accurate, engaging MLS commentary with Generative AI
IMG ARENA needed to modernise and scale its data platform to process billions of sports data points in real time, enabling faster delivery to betting and media partners.
✔︎ Real‑time data processing at scale
✔︎ Cloud‑native AWS analytics platform
Foxintelligence scales email data extraction with LLMs, replacing up to 6,000 manual parsers
Foxintelligence needed to enhance its e-commerce analytics platform to process vast amounts of consumer transaction data faster and more efficiently.
✔︎ Scalable cloud infrastructure
✔︎ Real-time analytics capabilities
Oxford Immune Algorithmics automates accurate white blood cell analysis with AWS
Immune Algorithmics needed to modernise its AI-driven biomedical research platform to handle large-scale genomic datasets and accelerate disease modelling.
✔︎ Cloud-optimised AI workflows
✔︎ Faster genomic data processing
TextKernel cuts CV parsing costs by 40% and doubles processing speed with Generative AI
TextKernel wanted to explore scalable, cost-effective Generative AI for high‑volume CV parsing, aiming to improve accuracy while reducing operational costs.
✔︎ 40% cost reduction
✔︎ 2× faster CV parsing
Calm uses Generative AI to personalise recommendations, increasing accuracy by 25%
Calm aimed to enhance personalised content recommendations by adding contextual awareness and improving accuracy through AI and ML.
✔︎ 25% more accurate recommendations
✔︎ 100% explainability in suggestions
MRH Trowe achieves 95% faster document review with Pulse
MRH Trowe needed to automate manual document review and data extraction to save time and improve accuracy.
✔︎ Reduced review time
✔︎ Higher accuracy in key data extraction