Customer profile

Customer: A UK-based global data analytics firm (name confidential)
Industry/Sector: Data & Insights
Challenge: Manual data extraction processes that limited scale, reduced accuracy, slowed time‑to‑market, and constrained market expansion.
Solution: AI powered document intelligence engine using multiagent architecture, deployed in a cloud‑agnostic environment.
Result: +95% accuracy; 80% reduction in processing time; significant cost savings and dramatic scaling capacity

From manual extraction to scalable Intelligence

Manual data extraction workflows became a growing constraint on the organisation’s speed, quality, and capacity, ultimately restricting growth. The key challenges were:

• Speed & Timeliness:  Manual extraction from unstructured sources took weeks, delaying downstream services dependent on this data.
• Scale & Coverage: Processing capability was limited to thousands of documents annually while the market required scale to hundreds of thousands.
• Quality & Consistency: Variability in human extraction reduced reliability and consistency.
• Cost & Resources: Manual operations consumed valuable resources and constrained strategic growth

These operational constraints significantly threatened competitiveness:

• Market coverage remained far below potential.
• Quality varied across analysts, affecting product credibility.
• Slow processing resulted in stale insights.

The organisation realised that scaling human‑driven extraction processes was impossible and that automation was essential for survival.

Rapid Circle augmented our AI engineering capability through their Gen AI, Cloud and DevOps expertise. The Gen API space is evolving at unprecedented speed and thriving in such an environment requires an ability to take on challenges and venture into new areas confidently.  Rapid Circle are a bunch of very smart and committed individuals who are ready to take on any challenge and venture into new areas confidently. They have helped us deliver some of the most innovative Gen AI powered solutions into the hands of our internal teams which is allowing our teams to scale their efficiencies to new levels.

— Head of AI and Innovation

AI-Powered Multi-Agent Document Intelligence

Rapid Circle collaborated with customer technical and business teams to design and deliver a purpose‑built AI system capable of extracting structured insights from complex documents.

Core capabilities included:

• Parallel multi‑agent processing
• Intelligent orchestration coordinating data pipelines
• Horizontal scalability across workloads
• Cost-efficient automated data extraction engine

Cloud‑Agnostic Delivery

The solution was built on Azure en deployed on AWS, proving true cloud portability.

Production‑Ready from Day One

This was not a pilot, this was a fully operational, business‑critical system delivering value in live production environments.

80% Faster, 95%+ Accurate

The transformation delivered clear and validated results:

• 80% reduction in processing time – from weeks to minutes
• 95%+ extraction accuracy, reaching up to 99% in certain data categories
• Schaalbaarheid: from ~100,000 documents to 500,000+ documents annually
• Minimal manual intervention, freeing staff for higher‑value tasks
• Cost per document reduced due to efficient model selection and optimisation

The new AI‑driven process enables continuous data freshness, improves product competitiveness, faster time-to-market and ensures the institution can scale effortlessly as document volume grows with improved profitability.

Ready to Transform Your Document Workflows?

Discover how AI‑powered document intelligence can help your organization reduce manual work, improve accuracy, and scale insight extraction.

Frequently asked questions

Why is AI essential for scaling data operations?
AI accelerates processing, improves accuracy, and enables organisations to reach markets that manual processes cannot support.

What makes this solution different from typical AI pilots?
It is fully production‑ready, operating daily on real data with real impact, not a prototype.

Does the solution work across clouds?
Yes, it is cloud‑agnostic. Built on Azure and deployed on AWS.

Which industries benefit most?
Financial services, asset management, professional services, and any organisation needing structured insights from unstructured data at scale.

How does it reduce costs?
Automation eliminates repetitive manual labour and reduces quality assurance overhead, lowering cost per document and improving margins.