01 / selected work Selected work
Delivery choices, system shape, and outcomes from real internal AI work.
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. Current public cases draw from in-house work at Delta
Holding; external client work is added when disclosure allows.
A credit-risk decision-support workflow built in-house at Delta Holding, combining public-company risk signals with internal operating context into structured, analyst-ready recommendations.
- Context
- B2B credit-risk analysis and limit-setting workflow inside a multi-entity enterprise finance function.
- Outcome
- Observed workflow outcomes included ~75% faster analysis, 4.4/5 analyst-rated quality, and 90%+ recommendation acceptance.
PythonLLM APIsWorkflow designStructured decision support
A self-hosted internal knowledge assistant built in-house at Delta Holding, with Azure AD-scoped access, operator/admin surfaces, feedback loops, and usage and cost observability built in from the first version.
- Context
- Internal enterprise knowledge-access system serving multiple business units, with requirements around access control, quality governance, and operational visibility.
- Adoption and feedback signal
- Deployed across roughly 1,500 eligible users, with 300+ actual users and 85%+ positive explicit feedback on thumbs-up/down responses.
FlaskDockerPostgreSQLpgvectorLangChainAzure AD SSO