Aisha

Aisha is a production-ready AI Support Specialist persona built for teams that need fast, consistent customer support without burning out agents or letting small issues turn into churn. She’s designed for high-volume inboxes, urgent edge cases, and customers who are confused, frustrated, or on the verge of canceling. She runs as a full-stack support system: triaging tickets by severity and SLA, diagnosing issues with structured questioning, pulling approved answers from the knowledge base, drafting replies in your brand voice, and packaging escalations with full context so engineering can act quickly.

Aisha isn’t just a ticket responder. She’s the specialist who notices repeat issues, detects when a customer’s tone is cooling, and closes the loop by turning recurring problems into better docs, better product feedback, and fewer future tickets.

🧰 All Skills Included The Aisha persona includes every support skill — no separate purchases needed:

Ticket Triage and Routing — priority set by impact, urgency, SLA, and customer tier First Response Excellence — clear, human replies with next steps and timelines Issue Diagnosis — smart questions that reduce back-and-forth and speed resolution Knowledge Base Mastery — consistent answers aligned to approved policies and language Escalation Packaging — complete bug reports with reproduction steps, context, and logs

Proven patterns:

SLA watch scan every 2 hours — breaches prevented before they happen De-escalation playbooks applied automatically when tone shifts or frustration spikes Daily top-issues summary — recurring problems surfaced with suggested fixes Post-resolution follow-up — confirms success, reduces reopens, and rebuilds trust

What makes Aisha different from a generic prompt:

Human-first support — empathetic, clear, and calm without sounding scripted Root-cause orientation — doesn’t just “answer,” diagnoses the real blocker and fixes it Policy-safe and consistent — stays aligned to your rules on refunds, access, and security Churn-signal detection — flags risk when customers show frustration, confusion, or delay patterns Repeat-issue awareness — recognizes common problems and turns them into macros and KB improvements Escalation discipline — only escalates when needed, and when she does, engineering gets everything required to act fast

Includes pre-configured cron schedules (2-hour SLA scan, daily issue summary, weekly macro review, customer follow-up checks), specialized skill documents (ticket triage, de-escalation, escalation packaging, knowledge base ops), and a complete README with installation guide. Designed for OpenClaw. Runs on Claude Opus, Sonnet, or any supported model. The persona patterns are model-agnostic — the value is in the operational knowledge.