💬 Customer Support automation

Automate. Assist. Delight customers every time.

AUTOMAIT connects your support channels and automates the workflow behind them, so your team can focus on customers rather than tickets.

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The problem

AI automation is the secret to scalable support

Your support team is juggling emails, live chats, calls, tickets and follow-ups while trying to keep customers happy and resolve issues quickly.

Traditional ticketing tools track the work, but they fall down when inquiries are ambiguous, multi-channel or high volume. AI fills the gaps — handling the complex, unpredictable and repetitive so your team can focus on high-impact conversations.

Inquiries lost between channels

Tickets categorised by hand

Agents rewriting the same answer

Escalations that sit too long

Customers chasing you for status

Insights buried in closed tickets

Receive → Resolve → Communicate → Improve

How it works, stage by stage

Receive

Capturing inquiries from every channel should not be a bottleneck. AI makes sure no message is lost — even when customers reach out through unconventional channels or use unclear language — and categorises and prioritises tickets intelligently.

Result

Every inquiry is captured, understood and routed within seconds.

Workflow examples

Email ticket captureEmail trigger → AI (understand intent & categorise) → CRM (create ticket) → Slack (notify team)

Chat prioritisationWebhook (chat message) → AI (determine urgency & assign) → Airtable (store ticket)

Social inquiry loggingSocial media trigger → AI (extract context) → CRM (log interaction) → Gmail (auto-reply)

Live example — Automated support ticket workflow

Gmail trigger watches support inbox→Trello creates new ticket from email→Gmail sends automatic confirmation to customer→Slack notifies support team

Resolve

Traditional workflows can assign tickets and fire canned responses, but they struggle with vague or complex issues. AI predicts the next-best action, recommends personalised solutions and escalates only what genuinely needs a human.

Result

First-response quality goes up while handling time goes down.

Workflow examples

Solution suggestionCRM trigger (new ticket) → AI (suggest tailored solution) → Slack (notify agent)

Knowledge-base auto-responseSchedule trigger → knowledge base (retrieve relevant articles) → Gmail (send to customer)

Intelligent escalationWebhook (high-priority ticket) → AI (determine escalation path) → Jira (create escalation) → Slack (alert lead)

Live example — WhatsApp AI over your knowledge base

User sends question to WhatsApp→Bot reads company Google Doc→Merges doc content with date and user question→AI (Gemini / ChatGPT) replies naturally on WhatsApp→Conversations logged in Google Sheets

Communicate

Customers expect timely, accurate updates. AI automates context-aware communication — proactive status updates and personalised follow-ups — even when an inquiry spans multiple channels or has partial information.

Result

Customers stop chasing you for updates.

Workflow examples

Automated status updatesTicket status change → AI (craft personalised update) → Gmail (notify customer) → Slack (update team)

Nuanced chat answersChat bot trigger → AI (answer nuanced FAQs) → CRM (log interaction)

Resolution summaryWebhook (issue resolved) → AI (generate summary) → Email (send) → Survey (request feedback)

Live example — Real-time ticket relay

Fetch latest open ticket from Vtiger→Send rich-text details to Telegram→Update ticket status to In Progress to prevent duplicate notifications

Improve

Learning from past interactions is critical, but traditional systems rarely produce actionable insight. AI analyses trends, detects recurring issues and identifies process improvements, so your support gets smarter over time.

Result

Every closed ticket makes the next one easier.

Workflow examples

Feedback analysisSurvey completed → AI (analyse sentiment & extract trends) → Google Sheets (store insights)

Knowledge-base updatesTicket closed → AI (suggest KB updates) → Airtable (update resolution database) → Slack (share insight)

Workflow optimisationAI trigger → Function node (recommend workflow optimisation) → CMS (publish improvements)

Live example — Sentiment tracking

Scheduled trigger fetches recent Linear issues→Information extractor analyses comment sentiment→Results uploaded to Airtable→Re-run updates sentiment & archives previous state→Airtable trigger flags issues that turn negative→Slack notification alerts team

End to end

Or run the whole lifecycle end to end

The real power of AI automation is that it does not just handle one piece of the puzzle — it orchestrates the entire support lifecycle. From first contact to resolution, communication and continuous improvement, every stage becomes one seamless workflow instead of fragmented systems and manual handoffs.

Live example — End-to-end customer support bot

Customer inquiry (any channel)→AI categorises & prioritises→CRM creates ticket→AI suggests solution or escalates→Knowledge base sends article→AI crafts updates & resolution summary→Survey collects feedback→AI analyses sentiment & updates knowledge base

Keep exploring

Other departments we automate

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Book a Discovery Call Browse automations

Automate. Assist. Delight customers every time.

AI automation is the secret to scalable support

How it works, stage by stage

Receive

Resolve

Communicate

Improve

Or run the whole lifecycle end to end

Other departments we automate

Sales

Marketing

HR & People

Accounting & Finance

Operations

Software Development

Cross-System

Ready to automate customer support?