AI agents that resolve support tickets faster — 24/7

Twin answers FAQs instantly, routes complex tickets to the right person, and keeps CSAT high — on email, chat, WhatsApp, and Slack. From €20/mo; replaces Tier-1 busywork.

85,000 people using Twin

4.9 on G2
Your AI customer support agent
Compass
RE/MAX
Keller Williams
Twin handles 60% of our support volume automatically. Our team focuses on the hard problems now and customers get instant answers for everything else.

Laura C.

Head of Support, SaaS Company

Real production agents

Real support agents. Running today.

Built by support teams. Ask in plain English — get tickets resolved, routed, and reported, around the clock.

Docs gap mining

You

Which questions keep coming in that our docs don't answer?

Twin Running ran 6 min ago with 3 tools

5 recurring gaps found — draft articles ready for the top 3, ranked by ticket volume.

Docs gaps — ranked

Knowledge base

New billing page

28 tickets this month · draft ready

28

SSO setup on mobile

17 tickets · draft ready

17

Export limits

12 tickets · draft ready

12

Webhook retries

9 tickets · outline drafted

9

Team seat transfer

7 tickets · outline drafted

7
Run this task

Auto-resolve FAQs

You

Answer the common questions from our docs and past tickets — instantly, in our voice.

Twin Running ran 4 min ago with 3 tools

89 of 142 tickets auto-resolved today — average first response 12 seconds.

Ticket #4821 — password reset

Resolved

Detected

FAQ · account access — matched 2 docs articles and 14 past tickets.

Reply sent

Step-by-step reset instructions with a direct reset link, in your brand voice.

Outcome

Customer confirmed resolved — CSAT 5/5, logged to the help desk.

Run this task

Triage & routing

You

Escalate complex or VIP tickets to the right person with full context attached.

Twin Running ran 12 min ago with 3 tools

53 tickets routed — each with a summary, customer history, and suggested next step.

Escalations — routed

With context

VP

VIP · enterprise plan

billing dispute → account manager

AP

API rate limits

engineering context attached → on-call

RF

Refund exception

policy summary attached → support lead

summary history next step
Run this task

Daily support summary

You

Send me the daily numbers — volume, auto-resolution rate, response time, CSAT.

Twin Running ran 8 min ago with 3 tools

Daily summary shipped — 63% auto-resolved, CSAT 94%, one docs gap flagged.

Support — daily summary

Daily, 6pm

Tickets handled

142

+11

Auto-resolved

63%

+4pt

First response

12s

−3s

CSAT score

94%

+1pt

Escalated

53

−6

Help desk + chat + email · posted to #support

Run this task

Docs gap mining

You

Which questions keep coming in that our docs don't answer?

Twin Running ran 6 min ago with 3 tools

5 recurring gaps found — draft articles ready for the top 3, ranked by ticket volume.

Docs gaps — ranked

Knowledge base

New billing page

28 tickets this month · draft ready

28

SSO setup on mobile

17 tickets · draft ready

17

Export limits

12 tickets · draft ready

12

Webhook retries

9 tickets · outline drafted

9

Team seat transfer

7 tickets · outline drafted

7
Run this task

Auto-resolve FAQs

You

Answer the common questions from our docs and past tickets — instantly, in our voice.

Twin Running ran 4 min ago with 3 tools

89 of 142 tickets auto-resolved today — average first response 12 seconds.

Ticket #4821 — password reset

Resolved

Detected

FAQ · account access — matched 2 docs articles and 14 past tickets.

Reply sent

Step-by-step reset instructions with a direct reset link, in your brand voice.

Outcome

Customer confirmed resolved — CSAT 5/5, logged to the help desk.

Run this task

Ready-to-use support agents.

Clone and run these agents in one click. Built by the Twin community.

Read all unread support inbox messages received since the last successful run, skipping any whose message ID is already in the handled ledger.
For each new message, fetch the matching Shopify customer and most recent order(s) by email lookup so the classifier has order context.
Classify intent into one of the enabled categories with a confidence score; if confidence is below 0.7 or the intent is not in the enabled list, route the thread to human approval.
Apply the auto-action policy: execute the Shopify mutation directly when the intent is auto-approved and within the refund cap; otherwise present the proposed action for approval before executing.
Send a reply from the support inbox using the configured brand voice and signature, BCC the owner, and append the message ID and ticket outcome to the handled ledger.
+1 more step
Gmail
Shopify
Airtable
0 Uses
Read connected helpdesk filters and pull yesterday's created, resolved, and currently-open tickets along with tags, priorities, and CSAT scores
Compute week-over-week deltas against the same weekday last week and check backlog against the alert threshold
Cluster ticket subjects and CSAT comments into 3-6 themes with a short narrative for the AI feedback summary
On the configured weekly day, also compute median first response time, median resolution time, and build a tag distribution chart
Render the digest in the chosen format with metrics, backlog flag, themes, priority-tag callouts, and chart if weekly
+2 more steps
Zendesk
Gmail
1 Use
Trigger fires when a new patient message webhook arrives or on the scheduled follow-up tick
Agent parses the payload, extracts sender + body, and checks the processed-messages database for duplicates
Twin AI classifies the message into one of seven intents using the clinic's services and tone
If a booking or reschedule intent is detected, Twin checks the calendar for the next available slot inside operating hours
Twin drafts a reply in the configured language, sends it through the inbound channel, and updates the appointments table
+2 more steps
Google Workspace
Notion
Slack
1 Use
On each tick, list all connected Facebook Pages and pull recent Messenger threads per Page
Filter to threads where the last message is from the customer and no human or agent reply has been sent since
Cross-check the agent database to skip threads already in human-handoff or human-takeover state
For each remaining thread, classify intent (FAQ, pricing, booking, complaint, off-topic) using the knowledge base
Draft a reply in the configured brand voice, ask one qualifying question if contact info is missing
+3 more steps
Facebook Messenger
Google Sheets
Slack
Google Docs
3 Uses
On each tick, read last_processed_id from agent_state and fetch only newer messages from the inbound channel
Insert message IDs into processed_messages with INSERT OR IGNORE; skip any rows already present and early-exit if all are duplicates
Classify each new message into a typed intent label and pull the existing conversation_state row if a contact_id already exists
Branch into Flow A (new lead intake), Flow B (continue existing conversation), Flow C (booking confirmation), or Flow D (escalate)
Generate the reply with Twin AI using the brand voice setting, the contact history, and a short intake script for first-touch leads
+3 more steps
Gmail
HubSpot
Slack
118 Uses
Load already-processed message IDs from the agent's local database.
Fetch new messages from the configured inbound channel and filter out anything already in the dedup table.
Classify each remaining message — order status, cancellation request, shipping issue, subscription change, automated/marketing, or escalation.
Look up the referenced order on your commerce platform and capture fulfillment, transaction, and shipping details.
Execute the policy-permitted action: cancel + refund, update address, refund for delivery failure, pause subscription, or no-op.
+2 more steps
Shopify
Gmail
Telegram
HubSpot
2 Uses
Integrations

Works where your customers are.

Twin builds connectors in real time — Zendesk, Intercom, Gorgias, Gmail, WhatsApp, Slack. Maintains them when APIs change. Plus 5,000 integrations already built by users.

Zendesk
Intercom
Gorgias
Freshdesk
Help Scout
Front
HubSpot
Twin

No hidden costs, no limits, just seamless integrations that grow with you

How it works

Plug-and-play. Live in 15 seconds.

No decision trees, no macro maintenance. Describe your support flow the way you'd train a new rep.

Our two support reps drown in 140 tickets a day — half are password resets and refund-status questions. First response time is 4 hours and CSAT is slipping.

Opus New

Explain the goal

Your channels, your policies, and where it hurts. Twin asks the right questions back.

Slack Email Scanner
B2B Prospect Hunter
Prospect List Builder
Niche Content Composer
Visual Storyteller
Building the next one…

Twin builds the agent

No specs, no workflows, no code. It handles the details you didn't think of.

Scheduled Always on

Worked for 3m38s

Reading your docs, FAQs, and past tickets

Learning your brand voice from sent replies

Connecting the Zendesk inbox and chat widget

Classifying incoming tickets by topic and tier

Auto-resolving FAQs with sourced answers

Escalating VIP and complex cases with context

Logging every resolution and CSAT response

Posting the daily summary to #support

It runs autonomously

On a schedule, a webhook, a Slack message, an incoming client email — whenever it should.

Features

Every support job. Running itself.

FAQs, triage, escalations, reporting — the ticket grind that eats your team's day, handled around the clock.

Instant FAQ answers

Common questions answered in seconds from your docs and past tickets — in your brand voice.

Ticket triage

Every incoming ticket classified by topic, urgency, and customer tier before a human sees it.

Smart escalation

Complex and VIP cases routed to the right person with a summary, history, and next step attached.

Knowledge-base answers

Answers cite your documentation — and recurring gaps become drafted articles automatically.

After-hours coverage

Nights, weekends, and holidays covered — customers get answers while your team sleeps.

Any language

Replies in the customer's language, matched to your tone — no separate localization queue.

Help-desk hygiene

Tags, statuses, and CSAT responses logged in Zendesk, Intercom, or Gorgias automatically.

Support reporting

Daily and weekly digests: volume, auto-resolution rate, response times, CSAT, and trends.

Triggers & schedules

On new ticket, on angry reply, on CSAT detractor, on docs change — or on schedule.

— rated 4.8/5 by 200+ happy customers

Fin answers chats. Twin runs support.

Fin is a chatbot bolted to one help desk. Twin works across your help desk, email, WhatsApp, and Slack — resolving, routing, reporting, and mining docs gaps.

Intercom Fin

Intercom Fin workflow canvas — one workflow wired per client

Twin

Half our tickets are password resets and refund questions — take Tier 1 off the team.

Twin 11:24 AM

Done — I learned your docs and past replies, connected Zendesk, and I'm auto-resolving FAQs and routing the rest with context.

One brief covers every channel and intent

Escalates with judgment, not just keywords

Tells you what it will cost before it runs

4.2 hours → 12 seconds

CSAT is at 94%. Daily summary lands in #support at 6 PM.

Customer stories

Real support teams. Real resolution rates. Running every day.

From two-rep teams to scaled SaaS support orgs — teams are replacing Tier-1 busywork and macro maintenance with a single conversation.

85,000 people using Twin

4.9 on G2

Laura C.

Head of Support

SaaS Company

Twin handles 60% of our support volume automatically. Our team focuses on the hard problems now and customers get instant answers for everything else.

Customer Success

Our response time went from 4 hours to under 30 seconds for common questions. CSAT scores are at an all-time high.

Kevin B.
Support Team Lead

We were drowning in tickets before Twin. Now the AI handles Tier 1 perfectly and our agents can finally breathe.

Sophie G.
Patriot Drug Testing

Twin operationally is the easiest — without n8n, GitHub, or piecing those parts together. One agent covers intake and follow-up questions.

Jim Watkins
Pricing

Simple pricing.

Less than a day of a support rep. Runs 24/7. No onboarding. No PTO. One quiet Monday inbox covers years of Twin.

Mini
€20/month

Estimated 20 tasks/mo

2,000 credits/month

Mini+
€50/month

Estimated 50 tasks/mo

5,000 credits/month

Pro
€189/month€2006% off

Estimated 200 tasks/mo

20,000 credits/month

FAQ

AI customer support FAQ

What support teams ask before putting Twin on the queue.

What is AI Customer Support Agent?

Deploy an AI support agent that handles FAQs, routes complex tickets, and assists your team with instant answers. Reduce response times, cut ticket volume, and keep customers happy — 24/7.

How does Twin automate customer support workflows?

Clone a support automation agent: Choose an agent for ticket triage, auto-replies, or FAQ handling and clone it to your workspace. Share your knowledge base and tone: The agent learns your product docs, FAQs, and brand voice to answer customers accurately. Connect your help desk, email, and chat: Link Zendesk, Gmail, Slack, Telegram, or your help desk — the agent works where your customers are. Tickets get resolved around the clock: The agent answers common questions instantly and escalates complex issues to the right team member.

Do I need to write code to use these agents?

No. Twin lets you clone, configure, and run AI agents using natural language and connected apps.

Ready to automate support?

Set up your support agent in minutes. No code required. Resolve, route, and report around the clock.

Start automating support