AI & automation
Making AI Useful Inside Engineering Workflows
Representative engineering work
Connecting models to real tools and governed workflows instead of isolated chat interfaces.
Context
Representative engineering work from MicroSecure's content operations: model-assisted drafting connects to internal APIs, media handling, workflow orchestration, and an explicit human approval boundary.
Challenge
A chat response alone could not create a governed workflow. Generated material needed structured inputs, persistent drafts, controlled publishing, media handling, and a reliable way for a person to approve or reject it.
Engineering Approach
Expose existing platform capabilities through scoped internal endpoints, use workflow orchestration to coordinate generation and scheduling, and keep generated content in draft until a person publishes it.
Architecture / Technical Decisions
The model produces structured content rather than directly mutating the public site. Internal APIs remain the source of domain behavior, while workflow automation handles sequencing, notifications, and external integrations.
Continue through the system
View all workReliability engineering
Diagnosing a Cross-Layer Production Problem
Investigating intermittent failures across application, data, platform, network, storage, and infrastructure boundaries.
Software Modernization
Modernizing Legacy .NET Without a Big-Bang Rewrite
Moving .NET Framework applications toward modern .NET while preserving working business behavior and production continuity.