It resolves, not just routes
Most 'AI support' is a deflection widget that hands the customer a help article and hopes they go away. GATE's agents read the question, answer it, do the follow-up, and escalate to you only when judgment is needed.
Customer support
AI customer support that answers, not deflects.
Most "AI support" just hands your customer a help article. GATE puts a team of AI agents on your support: they answer the routine queue, do the follow-up, and escalate to you when judgment is needed, around the clock. Coverage of a support desk, without hiring one.
The queue never waits
Support does not keep office hours, and neither do the agents. The routine queue gets answered at 2 AM while you sleep, and you get a summary of what was handled.
Memory of your product and customers
Every agent remembers your product, your policies, your tone, and past tickets, so answers stay consistent and on-brand instead of generic.
Escalation and a full record
High-stakes or unusual cases come to a human. Every action is signed, logged, and reversible, so you can see exactly what was said and done on your behalf.
Coverage without the headcount
Get always-on support coverage without hiring a team or paying for seats you do not use. The output of a support desk, briefed in plain language.
Customer data stays in the EU
Support runs on personal data. GATE handles it on EU-based infrastructure and never uses customer content to train models.
How it works
From a full queue to a cleared one.
Brief the agents
Tell the agents your product, your policies, and your tone, the way you would brief a support hire. Nothing to install or configure on your end.
They answer the queue
Each ticket is read and answered from your knowledge, not handed a help article and a shrug. The routine queue gets resolved around the clock, in your voice.
They do the follow-up
When a ticket needs a next step, the agent does the work and updates the record, so it closes the loop instead of leaving the customer half-answered.
Escalate what matters
Anything high-stakes or unusual comes to a human, with the whole conversation logged. You step in with the full context and keep the final say.
Ticket deflection
Searching for ticket deflection? What you want is resolution.
Ticket deflection measures how many questions get handled before they ever reach your team. It is the right goal with the wrong mechanism: most deflection tools hit the number by pointing the customer at a help article and closing the loop, so the ticket count drops while the question stays unanswered. The customer either gives up or comes back angrier, and the reopen undoes the deflection.
An agent that actually resolves the question gets you the same metric honestly. Every conversation it answers end to end is a ticket that never lands on a human, so your deflection rate climbs as a side effect of customers getting real answers. Measure both: the share of conversations resolved without a human, and how many of those come back. Deflection without reopens is the number that means something.
How it fits
It answers like a teammate, not a script.
Support is one of the jobs GATE's agents run for real businesses today. They use the same operating layer as the rest of the platform: memory of your product and past tickets, a fleet that coordinates, and autonomy that does the follow-up, with a human kept on the calls that matter.
See what an agent that does real work looks like in what is an AI employee, put the installable AI support agent on your own product (it answers questions, fills forms, and captures bug reports, in your brand and sandboxed), or browse every job you can hand over on the solutions page. For exactly how an agent runs a support queue, read AI customer support for small business.
FAQ
Straight answers.
Is this just a chatbot that deflects tickets?
No. A deflection bot hands the customer a help article and hopes they go away. GATE's agents read the question, answer it, do any follow-up work, and escalate to a human only when judgment is needed.
Do I need a support team or technical setup?
No. You brief the agents in plain language on your product and policies, the way you would brief a support hire. There is nothing to install or configure yourself.
What happens with tricky or high-stakes tickets?
They escalate to you. The agents handle the routine queue and bring anything unusual or sensitive to a human, with the full conversation logged so you have the context.
Can it handle technical support questions?
Yes, within what you teach it. Brief the agents on your product, your docs, and known issues, and they answer from that knowledge, escalating anything they are unsure about to a human rather than guessing.
How do customers reach the AI support agent?
You can drop an installable support agent straight onto your site or product, in your brand. It reads the page it sits on, answers questions from the knowledge you give it, and captures issues right where your customers already are.
Will the replies sound like us, not a generic bot?
Yes. The agents learn your product, policies, and tone and answer from your own knowledge, so replies stay on-brand and consistent instead of generic. Every reply is logged, so you can see exactly what was said.
What is a good ticket deflection rate?
The honest answer: the one where deflected tickets stay deflected. Chasing a headline percentage rewards tools that close conversations without answering them. Measure the share of conversations resolved with no human involved, then check how many of those customers come back with the same problem. A high deflection rate with a high reopen rate is a support problem hiding behind a good number.
Put a team on your support.
Invite-only while we onboard a small number of businesses. Request an invite and we'll be in touch.