Success Stories

Real results from our AI-driven solutions. Discover how we've transformed complex data challenges into lasting competitive advantages for our clients.

UK Retail Bank

Metadata-Driven Automated Lakehouse Solution

The Challenge

A leading retail bank in the UK was looking to modernize its data warehousing capabilities and consolidate multiple fragmented data sources into a single, scalable lakehouse platform.

  • Regulatory & Compliance Pressure — Strict data governance requirements
  • Rapidly Growing Data Volumes — Transactional, customer, and operational data growing exponentially
  • Operational Complexity — Legacy systems required high manual intervention
  • High Cost of Change — Traditional data warehouse enhancements were time-consuming

Our Solution

We designed and implemented an Azure-based metadata-driven lakehouse that addressed both the immediate operational pain points and the bank's long-term scalability goals.

Bank Lakehouse Solution

Fully Metadata-Driven Architecture

New data sources onboarded by adding metadata configurations, reducing development from weeks to days.

Automated Failure Recovery

Intelligent monitoring with automatic detection and reprocessing of failed jobs without manual intervention.

Cost-Optimized Design

Leveraged Azure's tiered storage and elastic compute for performance while staying within budget.

Impact & Results

Faster Onboarding
New datasets from weeks to days
Cost Reduction
Significant infrastructure and operational savings
Full Compliance
Meeting all financial industry standards
Finance Automation
Time Savings Hours → Minutes
Dramatic time reduction
Error Reduction High Accuracy
Minimized human error
Self-Service No IT Dependency
Complete user autonomy
Corporate Finance Team

Automated Financial Calculation Engine

The Challenge

A corporate finance team needed to automate complex, business-critical calculations that required pulling data from multiple sources while incorporating manual inputs and adjustments.

  • Heavy manual effort — Analyst spending majority of day on calculations
  • High risk of human error — Complex interdependencies
  • Frequent business rule changes requiring technical intervention
  • No easy way to detect changes or reprocess failed calculations

Our Solution

We designed and delivered a fully automated financial calculation engine with a professional, user-friendly interface, enabling the finance team to manage their workflows independently.

No-Code Calculation Setup

Intuitive configuration screens for non-technical users

Automated Data Integration

Seamless connection to data warehouse and general ledger systems

Intelligent Auto-Refresh

Automatic re-triggering of affected calculations when source data changes

Impact & Results

Time Reduction
From hours to minutes daily
High Accuracy
Significantly reduced human error
Self-Service
No IT bottlenecks
Financial Institution

Smart Reporting Solution Overhaul

The Challenge

A large financial institution needed to overhaul its outdated reporting infrastructure that had become difficult to maintain and unreliable as the organization evolved.

  • Inconsistent Definitions — Same data fields had conflicting definitions across departments
  • Poor Maintainability — Code scattered across multiple files and locations
  • Complex, Opaque Data Flows — Lack of clear documentation or dependency mapping
  • Low Business Value — Reports not optimized for actionable insights

Our Solution

We performed a comprehensive audit and redesign of the client's reporting system, with a focus on governance, maintainability, and business impact.

Unified Data Definitions

Standardized organization-wide definitions for key data columns

Modernized Reporting Layer

Centralized repository ensuring consistency and auditability

Data Flow Analysis

Comprehensive mapping of dependencies and bottlenecks

KPI Optimization

Reports redesigned for actionable business insights

Reporting Solution
Data Consistency Unified
All departments aligned
Maintainability Centralized
Single source of truth
Business Value Optimized
Actionable insights

Impact & Results

Full Consistency
Eliminated conflicting definitions
Faster Updates
Centralized logic changes
Better Insights
Actionable business intelligence
RAG Agent Solution
Scalability Serverless
Auto-scale to zero
Real-time Control Live Updates
Instant prompt adjustments
API Management Secure
External access controls
Media Company

RAG Agent Web Solution for AI-Driven Advertising

The Challenge

A leading media company wanted to harness RAG LLM agents to create innovative, AI-driven advertising solutions with real-time data processing and insights.

  • High-Volume, Bursty Data Streams — Large batches arriving infrequently
  • Real-Time Control Requirements — Adjust prompts and data feeds on the fly
  • Reliability & Error Handling — Proactive failure detection and automatic controls
  • Secure External Access — API management for third parties and clients

Our Solution

We designed and delivered a fully serverless, web-based RAG agent platform that combined scalability, operational robustness, and a high-quality user experience.

Serverless, Auto-Scaling Architecture

Scale instantly during data bursts, down to zero during idle periods

Real-Time Insights Dashboard

Live monitoring of data ingestion, processing status, and generated insights

Integrated API Management

Secure API exposure with key management linked to frontend

Impact & Results

Zero Idle Costs
Auto-scaling serverless architecture
Real-time Insights
Instant AI-driven advertising data
Full Self-Service
Non-technical control and monitoring

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