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Case Studies

Proof of capability across modernization, AI, and operations.

These stories show how TechRAQ approaches complex technology programs: understand the business, stabilize the work, build the right solution, and keep improving after delivery.

Understand → Improve
One approach
Applied to modernization
Proof, With Discretion

We describe our clients by industry rather than by name, so we can share how we work while respecting the confidentiality of the relationships behind each story.

Featured Proof
DomainUS auto finance / lending operations
FocusAI document processing
ValueFaster review, stronger auditability, better exception handling

AI-powered document intake and data extraction for loan operations

A US auto finance business needed a modern way to process loan documents arriving from multiple sources, including individual documents and combined deal jackets with varied state, dealer, vendor, scan quality, and layout differences.

  • Document classification and deal jacket splitting
  • OCR/LLM extraction, field normalization, and business-rule validation
  • Confidence indicators, manual review workflows, audit history, and structured output
Modernization
ChallengeLegacy systems difficult to maintain
ApproachAI-assisted engineering accelerator

Modernizing legacy applications with repeatable AI-assisted engineering

Many enterprises depend on applications built on older technologies, spreadsheets, Access databases, and legacy .NET frameworks. TechRAQ's accelerator workstream focuses on conversion, documentation, testing, and modernization readiness.

  • Excel and Access application conversion
  • .NET Framework modernization and migration planning
  • Reusable conversion stages, validation, and productivity comparison
Operations
ChallengeEmail, spreadsheet, and portal-driven workflows
ApproachDigitization and workflow automation

Transforming manual enterprise operations into digital workflows

A large enterprise operation had processes dependent on manual tracking, emails, spreadsheets, fragmented portals, and limited reporting visibility. TechRAQ helped digitize workflows and create a stronger foundation for future automation.

  • Department-specific portals, query tracking, and reporting systems
  • Email-to-data workflows, dashboards, and audit trails
  • Foundation for future AI-led automation and process intelligence
Commerce
ChallengeProduct content and platform complexity
ApproachCommerce engineering and enrichment

Engineering digital commerce and product content platforms

Retail and product-content businesses need scalable platforms that manage product data, digital assets, integrations, content workflows, and customer-facing commerce experiences.

  • Product catalog and content workflows
  • Retailer, brand, and marketplace integrations
  • AI-assisted content enrichment, search, discovery, and personalization support
Ownership
ChallengeComplex systems with transition risk
ApproachTakeover, governance, and continuity

Taking ownership of business-critical technology programs

Enterprises often need a partner who can take over existing applications, stabilize delivery, work across legacy and modern platforms, and improve systems without long transition cycles.

  • SWAT-team takeover and technology-agnostic engineering teams
  • Prototype-led validation, milestones, governance, and support
  • Long-term product and platform evolution
What These Stories Prove

A delivery model built for real-world complexity.

TrustWe can take ownership where systems and context are complex.
AIWe apply AI to practical workflows, modernization, and data problems.
ScaleWe support platforms beyond launch through teams and governance.
ValueWe focus on reduced effort, better visibility, and long-term maintainability.
Let’s Build What’s Next

Have a legacy platform, manual workflow, or AI idea to validate?

Our teams can help you assess, prototype, build, modernize, and scale with practical engineering discipline.

Contact TechRAQ