Systems built to make work move.

Eight case studies across company knowledge, outreach, reporting, operations, and applied AI. Each one explains the constraint, the system response, the delivered value, and what was checked before release.

The project visuals explain how each system works. Product screenshots and evidence remain inside the individual case studies.

More systems, each with a clear job.

Every entry opens into the problem, implementation, evidence boundary, and release checks.

Editorial system visual showing approved policy files moving through retrieval into a cited HR answer with fallbackEditorial system visual
AI/MLEnterpriseHR Tech

RAG AI HR Assistant

A retrieval-based HR assistant that answers from approved policy documents and exposes its source context instead of relying on model memory alone.

Value

Turns approved policy documents into cited answers and declines when the supporting evidence is missing.

Read the case study

Bring the workflow that still depends on handoffs and memory.

I will map the systems, owners, failure points, and acceptance checks before proposing a build. The scope stays tied to observable work rather than unsupported promises.

Discuss the workflow
Let's Talk

Book an Initial Workflow Call

Bring one workflow that is slow, unreliable, or hard to see. We will map the current steps and decide whether automation is a sensible next move.

30 minutes
Fit and scope
No build work starts here
or reach out directly