Intercom Fin
The most-reviewed AI support agent, priced per resolved conversation.
- Resolution rates that lead the category
- You pay when it resolves, not per seat
- Works standalone on top of other helpdesks
All guides Support
Support that answers now. Not in four hours.
Most support tickets are the same twenty questions wearing different hats. An AI customer service agent resolves those instantly, around the clock, and leaves your team the conversations that deserve a human. This guide covers what it handles, the serious platforms, and when to buy versus build.
- Instantfirst response, always
- Large shareof tickets fully resolved
- 24/7including your busiest day
- Happier teamthe boring tickets vanish
What an AI customer service agent is
An AI customer service agent sits in your support channels, reads each incoming question, and resolves the ones it can from your help content, your policies and your order data. What it cannot resolve, it triages and hands to your team with everything attached. It is the difference between a queue and a conversation.
01
A ticket or chat arrives
Email, web chat or messaging. The agent reads it like a person would, in the customer's language.
02
It resolves what it can
Where is my order, how do returns work, can I change my booking. Answered from your real content and systems, not guessed.
03
It acts, not just replies
Issues the return label, updates the address, resends the invoice, when you allow it to.
04
Humans get the real cases
Complaints, exceptions and judgment calls route to your team, tagged and summarised, with the boring part already done.
When this solution makes sense
A good fit if
- The same questions fill your inbox: order status, returns, bookings, how-do-I
- First response takes hours and customers chase you on a second channel
- Support volume swells at night, weekends or in season, but staffing cannot
- Your help content exists and is roughly current
- Agents spend their day on tickets a good FAQ should have caught
Probably not yet if
- Most tickets genuinely need investigation or judgment
- Volume is small enough that one person answers everything well
- There is no written help content and nobody can own creating it
- Your customers are high-value accounts where white-glove response is the product
What changes
Minutes to answer, not hours
The tickets that used to wait in the queue get resolved on arrival, at 3pm and at 3am.
A calmer, smaller queue
A meaningful share of tickets never reaches a human, so the ones that do get proper attention.
Support that scales without hiring
Sale days and season peaks stop meaning overtime or apology templates.
Answers that match your policy
The agent quotes the current policy every time, instead of whichever version an overloaded human remembers.
What teams use it for
- Order status and delivery questions
- Returns and refund requests
- Booking changes and cancellations
- Account and billing questions
- Product how-to answers
- After-hours first response
The established platforms
These platforms lead the category, from full helpdesks with AI built in to agents that plug into what you already use.
Zendesk
The mid-market standard helpdesk, with AI agents on every plan.
- Mature suite your future hires already know
- AI billed per automated resolution
- Full Spanish site and euro pricing
Freshworks Freddy
Freshdesk helpdesk with the Freddy AI agent, from a public company at SMB prices.
- Real helpdesk plus AI at entry-level cost
- First 500 AI sessions included to test properly
- Live translation across dozens of languages
Tidio Lyro
SMB chat and helpdesk whose Lyro agent goes live in a day.
- The fastest serious setup in the category
- Free tier to prove it on your own traffic
- Interface available in Spanish
Gorgias
The ecommerce helpdesk, deeply wired into Shopify stores.
- Built around orders, returns and store data
- Ticket-based pricing rather than per seat
- AI agent pays per resolution on every plan
Off the shelf or custom?
When a platform is enough
If your support runs on a known helpdesk and your questions are the classic retail and service patterns, the platforms above are excellent and improve monthly. Start with your existing helpdesk's AI before adding a vendor: switching helpdesks is a bigger project than adding an agent.
When custom wins
Custom wins when resolving a ticket means touching systems the platforms do not reach: your ERP, your booking engine, your logistics provider, a members database. It also wins when your policies are too nuanced for a template, when you need the agent in channels the platforms ignore, or when per-resolution pricing at your volume costs more than owning the agent.
Where Sabemos fits
Custom build
We build support agents connected to the systems your answers really live in: orders, bookings, billing, delivery. Your policies encoded precisely, escalation designed with your team, English and Spanish native. You own it, and it does not bill you per conversation.
Setup and onboarding
Choosing a platform instead? We pick the right one for your ticket mix, connect your content and your store or CRM, design the escalation rules and tune the agent on your real tickets until the resolution rate is worth paying for.
Frequently asked questions
What share of tickets can AI truly resolve?
It depends on your mix. Repetitive retail-style questions can see well over half resolved; complex B2B support sees less. Run any platform's trial on your own historical tickets before trusting a vendor percentage.
Will customers hate talking to a bot?
They hate waiting and they hate loops. Instant, correct answers score well; what destroys satisfaction is an agent that blocks the path to a human. Keep that path one message away, always.
Does it work over email as well as chat?
Yes. Modern agents handle email, web chat, WhatsApp and social messaging, keeping one conversation history across them.
Can it give refunds or change orders by itself?
Only if you allow it. Good deployments start read-only, then grant specific actions with limits, like refunds under a threshold. You decide the boundaries; the agent enforces them.
What does it need from us to work well?
Decent help content, access to the systems answers live in, and someone who reviews the misses in the first weeks. The tuning period is where good deployments separate from abandoned ones.