Customer Service AI

Most support queues fill with the same requests: where is my order, how do I fix this, can I get a refund. Agents answer them one at a time while harder cases wait. On the customer success side, the signs that an account is drifting sit in different systems, so they can go unnoticed until renewal.

• The same questions arrive every day and pull agents away from cases that need judgment.
• Tickets sit untagged or land in the wrong queue until someone sorts them by hand.
• Refund, warranty and cancellation requests each need a policy check before anyone can reply.
• Agents search the help center for the right article while the customer waits.
• Account health is spread across product usage, support and billing data, so churn signals are missed.
• Quarterly business reviews and account summaries are put together by hand before each meeting.

The builds fall into three groups. Front-line agents talk to your customers. Support operations tools work inside your helpdesk, behind the scenes. Customer success builds watch your accounts and prepare the next action for your team.

Front-line agents answer only from the knowledge sources you approve, hand the conversation to a person when confidence falls below the agreed threshold, and log every conversation with a resolution tag for review. Customer success builds combine product usage, support and billing data, follow your playbook for each account state, and wait for a customer success manager to review anything before it reaches a customer.

Many products also come as editions for one helpdesk, such as the AI Customer Support Agent for Zendesk, or for one industry, such as the AI Customer Support Agent for SaaS.

• AI Customer Support Agent: resolves customer questions across chat and email from your knowledge base and hands complex cases to a person.
• AI Order Support Agent: answers order status, delivery and change requests using live order data.
• AI Refund Workflow: handles refund requests against your policy and prepares approvals for the person who signs off.
• AI Ticket Classification and AI Ticket Routing: tag incoming tickets by topic, product, urgency and sentiment, then send each one to the right team or agent.
• AI Support Copilot: drafts replies and surfaces relevant articles for your agents inside the helpdesk.
• AI Customer Health Score and AI Churn Prevention: calculate account health from usage, support, billing and sentiment signals, then run targeted retention workflows.

The scope is written before you pay. Each product page carries a Scope Card listing the channels, connected systems, knowledge sources, workflows, language, testing and support included, with a fixed price and the fixed delivery time shown on each product.

Running costs, mainly AI model usage and hosting, are paid in your own accounts alongside your existing helpdesk or CRM plan, so you keep every provider relationship.

• Order: buy online in the Store, or talk to an expert first if you are unsure which product fits.
• Intake: within 72 hours of ordering, send your knowledge sources, policies, escalation rules, sample conversations and access to the connected systems.
• Build: we configure the workflows, prompts and guardrails, connect the agreed systems and deploy to your environment.
• Test: agents are checked against documented test scenarios, and account analytics against your historical data, and you receive the test report.
• Launch: two rounds of changes, an admin guide and a recorded handoff session for your team.
• Support: thirty days of post-launch support, then an optional monthly plan for monitoring, fixes and changes.

Start where the work piles up. If customers wait for answers, start on the front line. If agents lose time sorting, tagging and searching, start with support operations. If accounts cancel or stall, start with customer success.

If your helpdesk is already chosen, look for the edition built for it. If the need spans several products or sits outside every Scope Card, talk to an expert and we will scope a custom build.

• Settled questions on your website with approved answers: AI FAQ Agent, which answers from an approved FAQ set.
• Questions across chat and email that need your policies and a path to a person: AI Customer Support Agent.
• You want your agents to stay in charge of every reply: AI Support Copilot, which drafts answers for them inside the helpdesk.
• Tickets reach the wrong people: AI Ticket Routing, adding AI Ticket Classification if tagging is still manual.
• Accounts cancel without warning: AI Customer Health Score to see the risk, AI Churn Prevention to act on it.