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AI-Powered Development Services

Modernized a stalled financial integration project by introducing AI-driven coding workflows that doubled delivery speed and restored team performance.

Key Results

  • 50% faster delivery overall
  • Stable logic with full tests
  • Clear, conflict-free documentation
  • Efficient workflow with fewer iterations

Technologies Used

.NET 8 Azure Functions v4 Azure Storage MS SQL Server Azure Dashboards Application Insights Serilog Refit Azure DevOps CI/CD Claude Code Microsoft Copilot Context7 MCP Atlassian MVP Server
AI Consultation - Helping the Client's Team Recover from Project Failure Illustration

Challenge

The client needed a reliable proxy between a legacy accounting system and a bank API to manage vehicle sales, dealer payouts, and financial reconciliation. An internal team of three developers had worked on the integration for six months but failed to deliver a functional version.

Delays created financial and operational risks, putting millions in transactions on hold. They needed:

  • Expert guidance - To identify what went wrong and chart a clear path forward
  • Stable architecture - A robust solution that could handle complex financial workflows
  • Efficient workflows - More productive development practices to avoid past mistakes
  • Long-term maintainability - Code quality and documentation for sustained success

Our Approach

We introduced AI-enhanced development practices, improved team processes, and established a unified delivery strategy.

Product & Design

Clarifying requirements and eliminating ambiguity

  • Mapped all financial flows, clarified edge cases, and defined a minimal yet complete scope
  • Structured documentation and validation rules to remove ambiguity
  • Prevented cross-team conflicts through clear specifications and acceptance criteria

Development & Stack

Modern architecture with proven patterns

  • Standardized coding patterns and introduced unit-first workflow
  • Applied .NET 8 upgrades for improved performance and maintainability
  • Used Azure Functions, Storage, SQL, and dashboards to deliver a lightweight, scalable integration layer

AI-Enhanced Delivery

Empowering the team with AI development tools

  • Trained the team to use Claude Code, Copilot, Context7 MCP, and Atlassian tools
  • AI automated routine coding tasks, improving code quality
  • Cut implementation time in half through intelligent code generation and review

Solution

The client received a clean, stable, and fully validated financial integration layer that handled dealer transactions, sales flows, reconciliations, and payment events. The system was delivered in three months—half the original timeline—while ensuring long-term maintainability and transparency.

The delivered solution includes:

  • Transaction Proxy Engine - Bridges legacy accounting and bank APIs seamlessly
  • Automated Validation Rules - Ensures correct business logic for all cases
  • Unit-Tested Architecture - Guarantees safe future updates with comprehensive test coverage
  • Operational Dashboards - Real-time visibility into transaction flows without extra UI development
  • AI Development Playbooks - Documented workflows for the team to sustain productivity gains

Why It Matters

This case highlights how AI-powered development and expert consulting can rescue failing projects, reduce delivery time, and restore team confidence. It demonstrates the impact of AI-Enhanced Development, Code-to-Release Automation, and AI Consulting—core Excality services that help teams move faster, avoid costly overruns, and deliver stable, future-proof systems.

It proves that even complex financial integrations can be transformed into predictable, efficient, and test-covered solutions when guided by the right AI-first approach. The team didn’t just get working software—they gained new skills, confidence, and a repeatable process they can apply to future challenges.

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