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Agentic workflow orchestrator with human gates

Professional capstone: tools, audit logs, and safe multi-step agents

Industry: GenAI engineering

Challenge

A team wanted multi-step agents for internal ops, but unconstrained tool use created compliance and debugging risk.

Approach

  1. Designed explicit tool contracts and allow-lists per environment.
  2. Inserted human-in-the-loop gates for irreversible actions.
  3. Persisted step-level audit logs for every tool call and model decision.

Outcomes

  • Agents handled routine multi-step tasks while escalations stayed reviewable.
  • Incident reconstruction time improved because traces were structured, not chat-only.

Stack

LangChain / custom orchestrator · FastAPI · Redis · Audit logging

Lessons

  • Agent reliability is a product of tool design and gates, not prompt cleverness alone.
  • Auditability is a launch requirement for enterprise agents.

Related guides

How do you approach system design for ML interviews?

Research citations

  1. Training language models to follow instructions with human feedback
    Ouyang, L. et al. (2022). NeurIPS. RLHF / instruction tuning that shaped production assistant behaviour.

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