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Pivlu AI Assistant

Track every request with
built-in ticketing

Every customer request gets a ticket number, a priority, an owner, and a status. From first contact to resolution — nothing falls through the cracks and nothing gets forgotten.

5
Ticket statuses
4
Priority levels
Email
Inbox integration
SLA
Response timers

Ticket Lifecycle

Every request is tracked from open to resolved with full context at every stage.

Multiple Creation Channels

Tickets are created automatically from inbound emails, converted from live chat conversations with one click, submitted via a contact form on your website, or created manually by an agent on behalf of a customer. Every channel lands in the same queue.

Priority Levels

Four priority levels — Low, Medium, High, and Urgent — let your team triage the queue at a glance. Urgent tickets are visually highlighted in the inbox so nothing critical gets buried under routine requests.

Status Tracking

Five statuses track the exact stage of every ticket: Open (new, unassigned), In Progress (agent working on it), Waiting (pending customer reply), Resolved (answer sent), and Closed (confirmed complete). Customers are notified by email at each status change.

Labels & Categories

Tag tickets with custom labels (e.g. Bug, Refund, Feature Request, Onboarding) to categorize issues and filter the queue by topic. Labels drive automation rules and report breakdowns by ticket type.

Chat to Ticket Conversion

Any live chat conversation can be converted to a ticket in one click. The full chat transcript, visitor info, and timeline are attached automatically. No copy-pasting, no lost context when handing off to a specialist.

Full Activity Timeline

Every action on a ticket is logged in chronological order: replies sent, status changes, reassignments, notes added, and file attachments. The complete audit trail is visible to all agents and searchable by date or action type.

Team Collaboration

Multiple agents, one coordinated support team.

Agent Assignment

Assign any ticket to a specific agent or a team group. Agents see their personal queue separately from the shared inbox. Managers can view the full queue and reassign tickets when workloads are uneven.

Internal Notes

Add private notes visible only to your team — not the customer. Use them for internal context, escalation details, workarounds, and handoff instructions. Notes are clearly marked in the ticket timeline to avoid accidentally sending them as replies.

Agent @Mentions

Mention a colleague in an internal note with @name to loop them in on a specific ticket. They receive an instant notification and can jump straight to the relevant note without searching through the queue.

Ticket Merging & Splitting

Merge duplicate tickets from the same customer into one unified thread. Split a ticket that contains multiple unrelated issues into separate trackable items. Keep the queue clean and resolution metrics accurate.

Automation & SLA

Reduce manual work and hold your team to measurable response standards.

Auto-Assignment Rules

Set rules to automatically assign tickets based on category, label, email domain, or keywords in the subject. Route billing questions to the finance team and technical issues to engineers without manual triage.

SLA Timers

Define response and resolution time targets per priority level. SLA timers count down visibly in the ticket list. Overdue tickets turn red automatically so nothing breaches an SLA without your team noticing.

Automated Email Notifications

Customers receive automatic emails when their ticket is opened, when an agent replies, and when it is resolved. All notification templates are customizable with your brand colors, logo, and signature — nothing looks generic.

Auto-Close Stale Tickets

Automatically close tickets that have been waiting on customer reply for a configurable number of days. A reminder email is sent first — if there's still no reply, the ticket closes with a polite resolution message.

Reporting & Metrics

Measure support performance and identify where to improve.

Ticket Volume Trends

Charts showing ticket volume by day, week, and month. Identify seasonal spikes, spot the impact of product releases on support load, and plan staffing accordingly.

Response & Resolution Times

Track average first response time and average resolution time per agent and across the whole team. Compare against your SLA targets and drill down by priority level or label to find where delays originate.

Agent Performance

Per-agent breakdown of tickets handled, average response time, resolution rate, and customer satisfaction score. Use this data for 1:1 coaching and to recognize your top performers.