AI Operations · Support Operations · Workflow Automation
I build safer AI workflows for support operations.
I combine hands-on B2B support experience with automation and measured AI systems — using strict contracts, deterministic fallbacks and human review instead of black-box autonomy.
Systems that remain reviewable when the model is wrong.
Constrain the AI step
Strict response contracts, validation and fail-closed handling before output can move.
Keep deterministic paths
Rule-based baselines and fallback behavior make failure visible instead of mysterious.
Design for operators
Human review, explicit limitations and documentation are part of the system, not cleanup.
Flagship case study
AI Support Operations Copilot
In Development
A human-supervised operations copilot for synthetic support requests: classify the
request, detect urgency and missing information, flag security-sensitive content, and
keep every result behind review.
Measured against deterministic and live-model evaluation sets
Nonconforming model output rejected before downstream use
No customer data, autonomous decisions or external actions