AI-Powered Customer Support Workflow (Concept Design)
A Miro-designed workflow concept for cutting hold times to under 5 minutes by routing routine tickets through AI before they ever reach an agent.
The problem
Traditional customer support requires CSRs to manually create tickets, supervisors to assign them, and agents to research answers — a chain that can stretch a single complaint into days of back-and-forth. Customers wait on hold, get bounced between departments, and often receive conflicting information.
The solution
I designed a proposed support workflow in Miro where AI would handle intake, ticket creation, routing, and resolution of common issues. CSRs would be freed to focus only on novel or sensitive cases. Tickets could not close until the customer confirms satisfaction, and post-resolution surveys would be fully automated. The deliverable is the workflow blueprint itself, not a deployed system.
Benefits
- Caps target hold time at under 5 minutes unless the customer chooses to wait
- Projects resolution research dropping from 3–30 minutes to seconds
- Closes the loop so tickets can't get lost or stall in the system
- Designed to get smarter with every resolved issue once implemented
Challenges & what I'd improve
As a design concept, the open questions are implementation-side: AI bugs could disrupt the queue, misclassify urgency, or deliver bad answers if prompts are misunderstood. The workflow accounts for this with confidence thresholds, human-in-the-loop fallbacks, and continuous monitoring built into the diagram.