Most support tickets never needed a person.Tickify answers those.
An AI front line that reads your help center and nothing else, with a full support desk behind it for the questions it refuses to guess at. Your logo, your domain, your data. Nothing on it says Tickify.
IN PRODUCTION TODAY, ANSWERING REAL CUSTOMERS
It only knowswhat you wrote.
Every published article is chunked and embedded the moment you publish it. When a customer asks something, the AI retrieves the passages that actually match and answers from those, with a link back to the article it used. Edit the article and it re-embeds itself.
When retrieval comes back below your confidence threshold, it does not improvise. It says the docs do not cover this and offers to open a ticket, in one message. That single rule is the difference between a support agent and a liability.
Answers carry their sources
Every grounded reply ships with a citation chip linking to the article behind it, so customers can check the AI and read further.
You set how careful it is
A confidence slider from 40 to 95 percent, five tone presets, a freeform system prompt, and a cap on how many clarifying questions it may ask before it stops stalling and escalates.
It replies in the customer’s language
Language is detected from the first message and the grounded answer is translated into it. If the chat becomes a ticket, both sides keep reading their own language while your agents write in English.
It hands over before you are asked
Sustained frustration, a repeated question, or a hard cap on chat length all route the conversation to a human instead of looping.
Every ticket sayswhose turn it is.
Status is not a label an agent remembers to update. An agent reply moves a ticket to Waiting for Customer. A customer reply moves it back to Waiting for Agent. A customer replying to something already resolved reopens it and cancels the auto-close. The queue is never lying to you about what is actually outstanding.
Tickets carry a readable ID like TCKF-1428, so a customer quoting it in an email resolves to the right ticket in the right workspace instantly.
SLAs that respect your hours
First response and resolution targets per priority, working hours and holiday calendars per team, timers that pause on snooze. A breach escalates to Tier 2 and emails the assignee and admins.
Routing that picks the person
Per-team assignment by balanced workload, round robin, or manual. Whoever sends the first human reply owns it from there.
Built for people who live in the inbox
Saved views, macros, internal notes with mentions, bulk actions, snooze with a wake time, keyboard-first navigation, and a compact density mode for high volume.
A full audit trail
Assignments, priority overrides, escalations, reopens, deletions and publishes are all recorded with actor, timestamp and reason.
Four front doors.One conversation.
A customer can start in the chat widget on your site, sign in to the portal with an emailed code, simply reply to an email, or be logged by an agent after a phone call. All four land in the same ticket with the same SLA, the same routing and the same history.
Website widget
A single script tag. The AI chat and the customer’s ticket list, embedded on your own site without sending anyone elsewhere.
Customer portal
Sign-in by six-digit email code, no password. Customers see every ticket they have opened in kanban or timeline, reply, attach files, and read your help center without leaving.
Email to ticket
Mail to your support address becomes a ticket after a spam and legitimacy gate. Turn on reply-by-email and agent replies go out in full, with the customer’s answer threading straight back in.
Opened by an agent
Phone calls and outbound follow-ups get logged as first-class tickets, not as notes someone forgets.
The articles your AI reads,published for humans too.
One body of writing does two jobs. Your team writes articles in a rich editor, groups them into collections, and publishes. The public help center goes live on your own domain with clean slugs and a table of contents, and the same article becomes retrievable by the AI in the same moment.
Drafts stay private. They are not on the site and not in the AI’s index until you publish them.
Your domain, at the root
help.yourcompany.com serves the help center at the root and the support portal at /support. DNS and certificates are provisioned automatically.
Writing is the configuration
There is no second place to teach the AI. Improving an answer means improving an article your customers can also read.
You can see what gets read
Per-article view counts feed straight into analytics, so you learn which topics are actually costing you tickets.
Deflection, CSAT, breaches,per agent and per team.
The number that matters is what share of conversations never reached a person, and whether the ones that did left customers happy. Tickify reports both, next to ticket volume, median first response, median resolution and SLA breach rate, filterable by team.
Customers are surveyed at the right moment rather than constantly. A resolved ticket asks how the support experience was. An AI-only chat asks whether it helped, and only once the conversation has actually ended.
Thresholds you set
Each workspace picks its own bar for what counts as a good CSAT and an acceptable breach rate, and the cells color against it.
Per-agent performance
Volume handled, median response time, CSAT and breaches, so coaching is based on something other than impressions.
Nothing on itsays Tickify.
The AI introduces itself with a name you choose. The help center and portal run on your domain with your logo, favicon and primary color. Every outbound email, from login codes to SLA alerts to satisfaction surveys, goes out from your sender address in your brand. Customers never learn we exist.
One workspace per brand
Companies running several brands get a separate workspace each, with its own domain, tone, categories and teams. The same person can hold a different role in each one.
Isolated at the data layer
Every query is scoped by workspace at the database, not by a check someone might forget to write. Cross-workspace reads are not a setting, they are impossible.
The parts nobody demosbut everybody needs.
Owner, Admin, Supervisor, Agent Tier 1 and 2, and read-only Viewer, with a permission matrix rather than a vague trust level.
Support, Billing, Payout, Tech, Affiliate, Trust and Safety, or whatever yours are called, each with its own hours and routing mode.
Broadcast an outage once. It banners across the portal and help center, the AI mentions it, and it clears itself when resolved.
Shared team replies and private personal ones, so the fifth identical answer today takes a keystroke.
Up to three files per message, type and size checked on both sides, stored scoped to the workspace that owns them.
Send a customer the whole thread as an email, formatted and timestamped, without copy and paste.
Caps on unanswered customer replies, on guest chat length, and a monthly ceiling on AI messages so no runaway conversation bills you.
Export or permanently delete everything tied to one customer email, as a logged, admin-only action.
Every operational action, kept for the life of the workspace, with CSV export.
Email and web push for assignments, mentions and customer replies, with an unseen-reply fallback so nothing sits unread.
Email and password with optional two-factor, or Google and Microsoft accounts. Thirty-day sliding sessions.
Answers run through OpenRouter, so the underlying model is a setting rather than a rewrite.
Built for the boring part:running it every day.
It replaces a stack, not a tool
Chat widget, ticketing, knowledge base and satisfaction surveys are usually four subscriptions that do not quite talk. Here they are one product, which is why the AI can cite an article and the article can know how often it prevented a ticket.
It is grounded, not generative
The AI has no license to be creative about your refund policy. It retrieves, cites, and escalates when it cannot. You tune how cautious that gate is, and you can read every answer it gave.
It came out of running support
Tickify was built for a live support operation before it was sold to anyone. The status model, the SLA pauses and the reply caps all exist because their absence hurt.
Priced like the tools it replaces.Metered like none of them.
Seats cost roughly what Intercom and Zendesk charge. The difference is the AI line - the part of the bill that actually grows with your volume - where we charge a published rate per conversation instead of a per-resolution fee on a definition we own.
The whole core product, including the parts Intercom and Zendesk make you upgrade for.
- AI agent grounded strictly in your help center
- Full ticket desk: statuses, snooze, macros, internal notes
- SLA targets, breach escalation and CSAT
- Branded help center on your own domain
- Customer portal and embeddable website widget
For a real support operation: multiple teams, email as a channel, customers who are not writing in English.
- Everything in Starter
- Teams, routing modes and per-team working hours
- Email to ticket, and two-way reply by email
- Live two-way translation on tickets
- AI Enhance for agent replies, no per-seat add-on
- Bring your own OpenRouter key
For multi-brand operators and anyone embedding Tickify inside their own product.
- Everything in Growth
- Portal Embed API: REST plus realtime chat
- Three workspaces and three custom domains
- Shared Slack channel, same business day
- Bespoke integration and embed builds
For firms with contractual isolation, residency or uptime requirements.
- Everything in Scale
- Dedicated isolated deployment and database
- Unlimited workspaces, brands and domains
- Custom feature builds and an engineering retainer
- Named contact and a contractual SLA
Monthly billing available at +20%. Viewer seats are free on every plan. Included AI conversations do not roll over. Bespoke integration, embed and custom-feature builds are quoted against a written scope on Scale and Enterprise.
What counts as an AI conversation
One chat that got at least one real answer from the AI, counted once however many turns it runs. Escalation messages, outage notices and the opening greeting are never billable. We do not charge per “resolution”, because deciding whether a customer was genuinely helped is a judgement call - and a vendor should not be the one making it on your invoice.
per conversation, after your monthly allowance. Published, flat, with a spend cap you set.
per resolved outcome, on top of the seat price. No included allowance.
per automated resolution, committed or pay-as-you-go. Roughly 5-15 free per agent.
Tell us what supportcosts you today.
We will show you the product against your own help articles rather than a demo dataset, so you can see what it would actually deflect.
- What happens next
- We read it, reply within a business day, and set up a workspace you can poke at before deciding anything.