Zendesk Integration

Your support team triages the same tickets over and over. That part is automatable.

Every support team has a category of tickets that account for 60% of volume but require the same three answers every time. We build AI that identifies those tickets, drafts the response from your knowledge base, and presents it to the agent for a one-click send, or routes it entirely without agent involvement for the simple cases.

The AI is trained on your ticket history and your KB, not generic customer support data. It knows your product, your tone, and which issues need a human.

How we work

Tell us about your support ticket workflow.

What we build.

Six AI capabilities that reduce manual work in your Zendesk support queue.

Ticket auto-classification

Every incoming ticket gets classified by topic, product area, and priority based on its content, not just subject line keywords. Classification feeds routing and reporting without manual tagging.

Smart routing by topic and priority

Route tickets to the right agent group automatically based on AI classification. Billing questions go to billing. Technical errors go to Tier 2. Urgent keywords trigger immediate escalation. No manual triage queue.

Response drafting from KB and history

When an agent opens a ticket, the AI has already drafted a response based on your knowledge base articles and similar resolved tickets. The agent edits and sends, or sends as-is if the draft is accurate.

Escalation detection

Identify tickets with escalation signals before the customer asks for a supervisor: repeated contact, tone shift, high-value account, SLA breach approaching. Flag them early so a senior agent can intervene.

CSAT prediction

Score each resolved ticket for predicted CSAT based on response time, number of touches, agent tone, and issue complexity. Flag predicted-low scores for a follow-up before the survey goes out.

Knowledge base gap identification

Analyse tickets that required custom agent responses to identify topics your KB doesn’t cover. Surface the top ten gaps each month so your content team knows what to write.

Common use cases.

How different types of support teams use a custom Zendesk AI integration.

SaaS support: tier-1 automation

Common technical questions (password resets, billing queries, how-to questions covered in your documentation) get AI-drafted responses that agents send with one click. Tier-1 handle time drops by half. Complex issues still go to experienced agents.

E-commerce support: order and returns triage

Order status, return requests, and shipping questions are classified and routed automatically. For order status queries, the AI can retrieve the order from your system and draft the full response. Agents only touch the exceptions.

B2B support: account-aware routing

Tickets from enterprise accounts get routed to dedicated CSMs. Tickets from accounts in a renewal window get flagged. Tickets from churned accounts get routed to a win-back queue. The AI reads the Zendesk organization record to make the decision.

Overnight triage: no staffed queue needed

Overnight tickets get classified, prioritised, and drafted while your team sleeps. Morning shift agents open a sorted queue with response drafts ready. First-response time on overnight tickets drops to minutes.

Why custom over Zendesk’s built-in AI.

Zendesk has AI features. Here is why teams with real support complexity hire us instead.

Zendesk’s AI features require expensive tiers
Advanced AI and automation features in Zendesk are locked to Suite Professional and above, which costs significantly more than the basic tiers. Custom integration uses the Zendesk API (available on all plans) and brings in AI that you pay for at cost.
Generic AI doesn’t know your product
Zendesk’s built-in AI is trained on generic support patterns. Custom AI trains on your actual ticket history, your knowledge base, and your product terminology. It knows what a “sync error” means in the context of your specific application.
Your routing logic is complex
Most support teams have routing rules that go beyond simple keyword matching: account tier, product line, agent skill level, SLA tier, time of day. Custom integration can implement your exact routing logic, not a simplified approximation.

Frequently asked questions.

How do you train the AI on our historical tickets?: We export a sample of your resolved tickets via the Zendesk API, typically 2,000 to 10,000 tickets depending on your volume and history. We use these to calibrate the classification model, tune the response drafting prompts, and build a retrieval index from your KB articles. Your ticket data stays within infrastructure you control and is not used to train any external model.
How accurate are the response drafts?: For common repeat questions that are covered in your KB, draft accuracy is high enough that agents send with minimal editing. For complex, multi-issue tickets, the draft is more of a starting point. We build a review workflow where agents rate drafts, and we use that feedback to tune the prompts during the first 30 days after launch.
When does the AI handle it versus escalate to a human?: That’s a configuration decision you control. You set the confidence threshold below which the AI flags a ticket for human review rather than drafting a response. You can also set hard rules: any ticket mentioning legal, any ticket from a customer over $X ARR, or any ticket with more than two prior contacts always goes to a human regardless of confidence.
Can it integrate with our knowledge base articles in Zendesk?: Yes. We index your Zendesk Guide KB articles as part of the integration setup. When drafting a response, the AI retrieves the most relevant articles and uses them as the basis for the draft. We also surface the source articles to the agent so they can verify the draft is accurate before sending.

Ready to reduce manual triage?

Tell us your ticket volume, your most common categories, and what your agents spend the most time on. We’ll reply within one business day.

Your support team triages the same tickets over and over. That part is automatable.

The AI is trained on your ticket history and your KB, not generic customer support data. It knows your product, your tone, and which issues need a human.

What we build.

Six AI capabilities that reduce manual work in your Zendesk support queue.

Ticket auto-classification

Every incoming ticket gets classified by topic, product area, and priority based on its content, not just subject line keywords. Classification feeds routing and reporting without manual tagging.

Smart routing by topic and priority

Response drafting from KB and history

Escalation detection

CSAT prediction

Score each resolved ticket for predicted CSAT based on response time, number of touches, agent tone, and issue complexity. Flag predicted-low scores for a follow-up before the survey goes out.

Knowledge base gap identification

Analyse tickets that required custom agent responses to identify topics your KB doesn’t cover. Surface the top ten gaps each month so your content team knows what to write.

Common use cases.

How different types of support teams use a custom Zendesk AI integration.

SaaS support: tier-1 automation

E-commerce support: order and returns triage

B2B support: account-aware routing

Overnight triage: no staffed queue needed

Why custom over Zendesk’s built-in AI.

Zendesk has AI features. Here is why teams with real support complexity hire us instead.

Zendesk’s AI features require expensive tiers

Advanced AI and automation features in Zendesk are locked to Suite Professional and above, which costs significantly more than the basic tiers. Custom integration uses the Zendesk API (available on all plans) and brings in AI that you pay for at cost.

Generic AI doesn’t know your product

Zendesk’s built-in AI is trained on generic support patterns. Custom AI trains on your actual ticket history, your knowledge base, and your product terminology. It knows what a “sync error” means in the context of your specific application.

Your routing logic is complex

Most support teams have routing rules that go beyond simple keyword matching: account tier, product line, agent skill level, SLA tier, time of day. Custom integration can implement your exact routing logic, not a simplified approximation.

Frequently asked questions.

How do you train the AI on our historical tickets?

We export a sample of your resolved tickets via the Zendesk API, typically 2,000 to 10,000 tickets depending on your volume and history. We use these to calibrate the classification model, tune the response drafting prompts, and build a retrieval index from your KB articles. Your ticket data stays within infrastructure you control and is not used to train any external model.

How accurate are the response drafts?

For common repeat questions that are covered in your KB, draft accuracy is high enough that agents send with minimal editing. For complex, multi-issue tickets, the draft is more of a starting point. We build a review workflow where agents rate drafts, and we use that feedback to tune the prompts during the first 30 days after launch.

When does the AI handle it versus escalate to a human?

That’s a configuration decision you control. You set the confidence threshold below which the AI flags a ticket for human review rather than drafting a response. You can also set hard rules: any ticket mentioning legal, any ticket from a customer over $X ARR, or any ticket with more than two prior contacts always goes to a human regardless of confidence.

Can it integrate with our knowledge base articles in Zendesk?

Yes. We index your Zendesk Guide KB articles as part of the integration setup. When drafting a response, the AI retrieves the most relevant articles and uses them as the basis for the draft. We also surface the source articles to the agent so they can verify the draft is accurate before sending.

Ready to reduce manual triage?

Tell us your ticket volume, your most common categories, and what your agents spend the most time on. We’ll reply within one business day.