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Bespoke .NET Platform Engineering Case Study – AI-Accelerated Operational Modernization for a Customer-Services Enterprise

Bespoke .NET Platform Engineering Case Study

AI-Accelerated Operational Modernization for a Customer-Services Enterprise

Executive Summary

Context: A premier customer-services enterprise running complex transaction workflows was held back by legacy spreadsheets, fragmented email instructions and tribal operational knowledge. Each enterprise account demanded custom contract rules, bespoke validation and tight compliance SLAs that off-the-shelf software could not support.

Solution: Forar Tech engineered a resilient bespoke .NET platform (ASP.NET Core, C#, SQL Server, Hangfire), using Claude as an Agentic AI partner across discovery and implementation.

Outcome: Configuration-driven onboarding replaced developer-led setup, every bulk file is validated before it reaches production, and financial reconciliation now runs automatically in the background.

Engagement at a Glance

Industry

Enterprise customer services with complex, high-volume transaction workflows

Engagement

18 months, delivered in 2-week sprints

Platform at a Glance

1 Users & ingestion: Operations (business UI), CSV/XLSX (bulk files), Partners (webhook drops), Finance (reconciliation). 2 .NET modular monolith core: Onboard (config-driven), Rules (dynamic evaluator), Batch (staged · Hangfire). 3 Integrated systems: ERP / CRM / M365, Banking REST APIs, Azure Service Bus, Azure Blob.

Scope

Discovery and reverse-engineering, platform architecture, rule engine, staged data ingestion, integrations, CI/CD and production operations

Technologies

ASP.NET Core, C#, SQL Server, Dapper, EF Core, Hangfire, YARP, Microsoft Entra ID, Redis, Azure Service Bus & Blob, OpenTelemetry, GitHub Actions / Azure DevOps, Claude

About the Client

The client is a premier customer-services enterprise that executes complex, high-volume transaction workflows for corporate accounts. Each account brings its own contract rules, fee structures, penalty clauses, validation routines and compliance SLAs, so the business depends on processing that is accurate, auditable and fast to adapt.

Business Needs

Person-dependent processes and manual data handling were limiting growth in five areas.

Tribal RulesFee, penalty and SLA rules lived in operators' heads and desktop spreadsheets, causing inconsistent calculations and compliance risk.
Unsafe Bulk Uploads50k+ record files went straight into production with no validation, so corrupt rows slipped through untracked.
Manual ReconciliationMonth-end close took 4 staff-days of exports and VLOOKUPs, delaying reporting and raising audit risk.
Fragile InterfacesUnmonitored file drops to banks and partners failed silently and breached SLAs.
Developer-led OnboardingEvery new contract needed code changes, stretching onboarding to 3–4 weeks.

Solution

Forar Tech followed a phased engineering methodology: understand the existing rules, build a secure foundation, move the logic into configuration, automate the heavy lifting, prove the results against legacy and then operate the platform.

1

Discover & Map

Deconstruct spreadsheets, extract legacy rule sets, model compliance schemas and align on SLA baselines.

2

Foundation

Stand up Microsoft Entra ID, SQL staging schemas, CI/CD pipelines and immutable audit structures.

3

Rules & Workflows

Engineer a parameter-driven rule engine and self-service customer setup; pilot with 2 primary accounts.

4

Async Automation

Deploy Hangfire bulk upload queues, partner API connectors and automated email and webhook notifications.

5

Validate & Cut Over

Run dual processing alongside legacy and eliminate discrepancies before decommissioning old tools.

6

Operate & Tune

Deliver production runbooks, OpenTelemetry distributed tracing, query tuning and feature scaling.

Our Role

Forar Tech owned the engagement end to end: reverse-engineering legacy spreadsheets and rules, designing the target architecture, building the platform, running dual-run validation and cut-over, and operating and tuning the system in production. Claude was embedded in the engineering loop as an Agentic AI partner to accelerate discovery, data migration and testing.

Target Solution Architecture

A modular monolith on .NET LTS keeps domain boundaries clean while staying simple to deploy, secure and operate.

Target solution architecture. Users & ingestion: Business Operations UI, Finance & Reconciliation, Partner Webhook Drops, Customer CSV / XLSX Bulk. .NET platform modular monolith core: Reverse Proxy / API Gateway (YARP) and Entra ID · OAuth2 · RBAC Guard; Onboarding Engine, Rule Engine & Lookup, Staged Batch Engine, Hangfire Async Jobs; C# Domain Logic · Configuration Options · Dynamic Rule Evaluator; SQL Staging & Live OLTP, Dapper Bulk Processing, Redis Cache & Audit Trail. Integrated systems: ERP / CRM / Microsoft 365, Partner Banking REST APIs, Azure Service Bus Queues, Azure Blob Encrypted Drops.

Operational Transformation Metrics

Metric Before After Net Impact
Client onboarding 21 business days (developer-led) 36 hours (config-driven) 93% faster go-to-market
Financial reconciliation 4 staff-days per monthly cycle 4 hours (automated background) 80% labor cost reduction
Bulk ingestion integrity Corrupt rows found late in billing 100% pre-commit isolation Zero corrupt production entries
Reporting turnaround 24–48 hour delay; manual exports Real-time dashboards Same-day accounting close
Release agility Quarterly hotfixes; manual zips Predictable 2-week sprints Zero-downtime CI/CD container releases

Value Delivered

Core benefits: automated reconciliation, rapid time-to-market, pre-validated data, future-proof architecture, business-controlled releases, end-to-end auditability.

Use of Claude

Forar Tech engineers used Claude as an AI assistant in two key areas to save time. All outputs were reviewed and approved by the engineering team and client experts before use.

Convert Spreadsheets to Rules

Claude helped read complex spreadsheets and turn them into clear rule specifications.

Create Test Cases for Contracts

Claude helped generate test cases for different contract scenarios.

Conclusion

Forar Tech replaced fragile, person-dependent operations with an enterprise-grade bespoke .NET platform built around the client's own rules. By pairing disciplined engineering with Claude as an Agentic AI partner across the lifecycle, the client gained hours-not-weeks onboarding, validated data at every step, full audit traceability and direct control over how the business evolves.

Forar Tech, LLC. 4901 Olde Towne Pkwy, Suite 100, Marietta, GA 30068 · www.forartech.com · 678-298-8241 · ft@forartech.com
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