Stefan Manja Internal AI systems for enterprise workflows
01 / selected work

Selected work

Case studies shaped around real delivery choices, not portfolio gloss.

These write-ups are intentionally selective: enough to show the problem shape, system approach, and proof of execution, without exposing internal material that should stay internal.

Featured

A Delta Holding workflow redesign that used LLM assistance to reduce analysis time by roughly 75% while staying grounded in an existing analyst process.

Context
Enterprise finance and credit workflow context inside a diversified holding company.
Outcome
~75% faster analysis, with 4.4 out of 5 analyst-rated quality and over 90% recommendation acceptance.
PythonLLM APIsWorkflow designInternal data context
Featured

A self-hosted internal assistant for Delta Holding, built to support enterprise knowledge access with practical architecture choices around hosting, retrieval, and identity.

Context
Internal enterprise knowledge-access and assistant use cases across a large business environment.
Outcome
A production-minded, self-hosted internal assistant with Dockerized services, PostgreSQL + pgvector retrieval, LangChain ingestion, and Azure AD SSO.
FlaskDockerPostgreSQLpgvectorLangChainAzure AD SSO

Project inquiry

If you have a similar internal AI workflow to build or harden, I can review the project shape.

A short note on the workflow, users, current stage, and constraints is usually enough to tell whether build or advisory work makes sense.