Selected work

Complex problems, made concrete.

Enterprise Microsoft platforms, Azure applications, and AI-enabled document, workflow, and knowledge systems—presented with context about their status and delivery.

WiredLight’s work ranges from enterprise Microsoft platforms and Azure applications to AI-enabled document, workflow, and media-processing systems. Some engagements are confidential, but the examples below illustrate the kinds of problems addressed, the engineering involved, and the delivery discipline applied.

Confidential enterprise programme

Teams-integrated platform

A governed business application inside Microsoft Teams

The challenge

Bring a role-sensitive business process into the flow of work without fragmenting identity, information, or administration.

The engineering

Teams application architecture, Entra ID authentication, Microsoft Graph integration, organisation-aware permissions, and controlled deployment.

How methodology shaped the outcome

Requirements and access rules were defined before implementation, then traced through architecture, scenario testing, and release evidence.

Production platform

Azure business application

A resilient workflow spanning APIs and background processing

The challenge

Coordinate long-running business activity reliably while giving operators clear status, diagnostics, and recovery paths.

The engineering

ASP.NET Core, Azure Functions, Service Bus, Azure SQL and Storage, application telemetry, and automated deployment.

How methodology shaped the outcome

Failure modes and operational requirements shaped the architecture; validation covered retries, permissions, observability, and deployment readiness.

Internal research and development

AI-enabled workflow

Controlled AI-assisted document and knowledge work

The challenge

Use AI to accelerate complex document and knowledge tasks without surrendering quality, traceability, or human accountability.

The engineering

Structured model orchestration, retrieval, document processing, evaluation, usage controls, and approval checkpoints.

How methodology shaped the outcome

The workflow is constrained by explicit requirements, measurable quality checks, retained evidence, and human approval at material decisions.

Types of work

Azure business applicationsMicrosoft 365 applicationsTeams-integrated platformsSharePoint solutionsAI-enabled workflowsArchitecture and modernisation

Your context will be different

Let’s understand the system you need to build or improve.

Discuss your requirement