Ticketing and inbox One ticket. Not a restart.

Whatever needs a team member lands as a ticket in the same inbox, with a status, an owner and the whole history, whether it comes by email, form, chat, phone or WhatsApp. The AI agent goes through the knowledge base and the customer's details and puts forward a draft reply for a team member to review. Nothing is sent without approval unless you decide otherwise.

Short answer

Supportifier's inbox is a ticketing system for customer service that gathers tickets from email, form, chat, phone, WhatsApp, Messenger and Instagram in one place. Every ticket has an owner, a status, labels and response time targets according to the SLA you have set. The AI puts forward a draft answer built on the reviewed knowledge base and relevant ticket information, and a team member approves, edits or rewrites. Answers are never sent automatically unless you have enabled it for a limited flow.

When the team is needed

INTERACTIVE EXAMPLE · No question is sent. No customer data is fetched.

When the team is needed

A ticket. Not a restart.

The team member works from the same knowledge foundation. Relevant ticket information and an AI draft help the team take the question further.

Review the material. Help with what remains.

Read about the inbox The same question in all five views:Can I change my delivery address?
The support team's workspaceEXAMPLE DATA
InboxAwaiting a team member
Incoming email · Example

Delivery address change

Context for the team

The customer wants to change the delivery address. For a personal answer the team needs to identify the customer and check order status.

AI support · For review

The address can be changed before the order leaves the warehouse. Check the customer's order status before confirming that the change can be made.

Customer data: needs checking

No address has been changed and no answer has been sent. Handover and available context depend on the flow you roll out.

The same knowledge sourceDelivery address changeRead the source

Delivery terms: The address can be changed before the order leaves the warehouse.

One reviewed rule is used in all five examples. The public help centre shows published content only. Internal instructions and personal customer data are not public.

Different ways in — not five steps the customer has to pass through.

01

Everything needed to answer. In one place.

Tickets from email, form and chat land in the same inbox. The team member sees who owns the ticket, where it stands and how much time remains until the SLA target.

Owner and status
Who owns the ticket and where it stands right now: new, in progress, waiting for customer, resolved.
Labels
Topic and flow, so that similar tickets can be followed as a group and the follow-up sees the patterns.
SLA
Targets for first response and resolution per priority, counted in business hours if you choose. While a ticket waits for the customer, the resolution clock stops.
02

Ticketing, built into the inbox.

The basics of running customer service are in the inbox, so the team does not need a separate ticketing system next to the AI.

Assignment
New tickets can be assigned automatically to whoever is on duty and under their cap, and the same customer goes back to the same agent. People who are away are skipped. Tabs such as My tickets and Unassigned show what is waiting.
Working together on a ticket
Internal comments the customer never sees, mentions of colleagues and a notice when someone else is already viewing or replying to the same ticket.
History and housekeeping
The whole thread and the customer's past tickets are in the ticket. Duplicates can be merged, tickets can be snoozed and recurring wording is kept as saved replies.
03

AI drafts that are reviewed. Not answers that are sent.

For every ticket the AI drafts an answer built on the reviewed knowledge, including the internal part the customer does not see. A team member approves, edits or rewrites. The draft is what saves time, and the review is what makes the answer trustworthy.

Built on your knowledge, checked against it
The draft takes the rule from the knowledge base and customer data from your systems. Then every date, price, term and link is checked against the source, and the draft is marked Safe, Review or Unsure.
Approved answers improve the suggestions
What your team approves is used to improve the suggestions within your own account. That learning happens only there, never in the provider's model.
Autopilot when you decide
Switch on autopilot per category. In shadow mode you first see what would have been sent, and the app suggests which categories are ready. Only safe answers supported by the knowledge base are sent automatically.
04

Connected to your email.

The inbox can be connected to the mailboxes you choose. Incoming email becomes tickets, and replies are sent from your own address. Email is never deleted permanently. Which permissions are requested is stated in the privacy policy.

05

Input for staffing. Not a schedule.

The follow-up shows tickets in, median response time, waiting tickets and share within SLA, and separates AI-assisted answers where a person stood behind them from tickets resolved automatically within approved flows. The questions without answers become the list of what the knowledge base lacks.

06

Common questions

Does the AI agent send answers automatically?

Not by default. The AI agent proposes an answer that a team member reviews and approves before it goes out. Automatic handling is used only in flows you have explicitly enabled, within the scope and with the controls you have decided on.

What are the draft answers based on?

On your reviewed knowledge base, including internal instructions the customer does not see, on the content of the ticket and on customer data from your systems when a connection exists. The draft states what has been checked and what has not, for example whether order status needs checking.

Which channels land in the inbox?

Email from the mailboxes you connect, tickets from the AI form, chats that were handed over or sent outside opening hours, calls through the phone system and messages from WhatsApp, Messenger and Instagram. The customer portal shows the customer's side of the same ticket.

Can the inbox be our ticketing system?

Yes, for every channel you connect. They get an owner, a status, a priority, labels and the SLA targets for first response and resolution that you set. The team has internal comments, saved replies, merging of duplicates and reports on volume, response time and SLA, and the customer follows their ticket in the customer portal. Phone, WhatsApp, Messenger and Instagram are included; SMS is not. You can use the inbox as your ticketing system or start alongside the one you have.

Can we keep our current helpdesk?

Yes, we do not assume you will replace it. The existing helpdesk can be an information source with channels and ticket history. We go through your channels first and then decide what can stay.

How are response time and SLA measured?

You set targets for first response and resolution per priority. The inbox shows how much time remains per ticket and the follow-up shows median first response time and share answered within SLA. While a ticket waits for the customer, the resolution clock is paused.

Next step

Start from your everyday work.

Tell us which question takes time today. We go through what a first step could look like.

A clear first step beats a big promise.

See how the knowledge work, the review and the first channel fit together.

How the rollout works
From the same question
to a better answer.
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