Delegate's AI monitors every workspace around the clock — flagging escalations, drafting replies, creating tasks, and bumping priorities. Supervisors review a curated queue each morning and approve what matters. Human judgment on top. AI velocity underneath.
Escalation risk — Account #84921, 3rd contact this week
Customer has contacted support 3 times in 5 days. Tone shift detected in last message. Suggested: assign to senior agent and send proactive resolution email.
Repeated contact pattern · tone deterioration · SLA at 87%
Draft reply — Order #77340 refund status inquiry
"Hi Maria, your refund of $89.99 was processed on Apr 1 and should appear within 3–5 business days. Your reference number is REF-2240..."
High confidence · matches SOP-12 · refund confirmed in NMI
Create task: Follow up on upsell decline — Account #3847
Customer declined upsell offer during last call. Suggested: assign win-back task to account rep with 7-day follow-up window.
Upsell decline detected · win-back SOP triggered
Bump to Critical — RetailCo chargeback batch, 14 items
14 chargebacks filed against RetailCo in the past 24 hours. Current priority: Medium. Suggested: Critical. Assign to billing team immediately.
Chargeback volume spike · threshold exceeded · SLA risk
The AI Review Queue is the operations layer that sits between AI action and real-world consequence. You decide what fires automatically and what needs a human decision first.
Delegate monitors every active workspace — tickets, emails, agent activity, SLA timers — and generates a prioritized queue of actions: escalations, auto-replies, task creation, priority changes. Supervisors review, agents execute.
Every AI suggestion sits in a review queue before it affects your operations. One-click approve or dismiss. Bulk approve when confidence is high. You set the thresholds — Delegate respects them. Nothing fires without your sign-off.
AI flags tickets showing escalation patterns — repeated contacts, tone shift, SLA breach risk — before a client asks to speak to a manager. Supervisors get the alert with full context and a suggested response draft.
Set minimum confidence scores per suggestion type. High-confidence auto-replies can be approved in bulk. Lower-confidence escalation flags go to individual supervisor review. Tune the automation to match your risk tolerance.
AI drafts responses that match your brand voice, reference the customer's history, and follow your SOPs. Agents review and send in seconds — or set high-confidence replies to fire automatically after supervisor approval.
Each client workspace has its own AI behavior settings — suggestion types, confidence floors, auto-approval rules, escalation criteria. A high-touch enterprise client gets a stricter review loop than a high-volume e-commerce account.
Instead of reading every ticket and email yourself, you review what the AI flagged as important — and approve the actions it already drafted.
Your morning starts with a queue of AI-generated suggestions: escalations flagged overnight, auto-reply drafts waiting for send approval, priority bumps on accounts approaching SLA breach. You bulk-approve the obvious ones and focus on the edge cases. Done in under ten minutes.
AI monitors agent responses against your SOPs and flags deviations in the review queue — wrong tone, missing required disclosures, off-script upsell attempts. QA reviews the flag, coaches the agent, and marks it resolved. The audit trail is automatic.
You set which AI actions require approval and which can run autonomously for each client account. Routine task creation from emails auto-approves. Escalation replies always come to you first. Your team moves faster — and you stay in control.
Let AI monitor your operations, flag what matters, and draft the actions. You approve the results. Your team executes. Nothing slips — and nothing fires without your say-so.
14-day free trial. No credit card required.