Case study
AIOperationsSMB
From manual triage to a system the team runs
Cut a review loop that burned full-time attention and replaced it with automation operators actually trusted.
Challenge
The team was drowning in repetitive triage: same questions, same spreadsheets, and no single place to decide what happened next.
Approach
Mapped the live workflow, removed steps that did not change decisions, then layered automation and light AI where humans were only rubber-stamping.
Outcome
Faster turnaround, fewer errors slipping through, and a playbook the team owns — not a black box.