Strawberry

AI can sort the support queue before customers wait on the wrong problem.

It can read the ticket, look for the account context you authorize, identify urgency and intent, and prepare the next response or escalation for an agent to review. The goal is not to remove judgment from support; it is to remove the scavenger hunt before judgment begins.

The first task is to understand what the customer is asking.

“Nothing works” could mean a password reset, an outage, a missing permission, or a complaint about an invoice. Treating every message as the same kind of ticket makes a small issue slow and a serious issue invisible.

Strawberry can read the message and its attachments, apply the categories you define, and return a reasoned classification with the words that supported it. A support lead can then refine the rule when the system is repeatedly confusing two request types.

The answer gets better when the account history is close by.

Customers should not have to repeat the plan they bought, the error they saw yesterday, or the workaround support already gave them. Yet the relevant information is often split between the ticket, the account page, a prior email, and an incident update.

A companion can gather the permitted context and prepare a brief for the responder: account status, prior contacts, matching known issues, and the next sensible question. The responder can verify the facts before they write in the customer's name.

Escalation needs a complete problem statement.

Forwarding “customer cannot export” to engineering creates another round of questions.

The receiving team needs the account, reproduction steps, impact, timestamps, and what support already tried.

An agent can turn the ticket thread into an escalation draft with the evidence attached and the unknowns clearly marked. It should not claim a root cause or promise a fix date when neither has been confirmed.

Sensitive tickets deserve a slower lane.

A refund request, a deletion request, an account compromise, or a threat of legal action can look like a normal ticket until the consequences are considered. The safe action is often to route it correctly, not to answer it quickly.

Save separate support-routing skills for these categories and run a queue routine only within the rules you have tested. Keep refunds, account changes, data handling, and external sends behind the approval of the person authorized to make that decision.

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Frequently asked questions

Yes. It can categorize tickets, summarize the request, gather permitted context, and prepare recommended next steps for an agent to review.

Strawberry is free to download and includes AI credits to start. Paid plans begin at $20/month. See pricing. · Reviewed · Canonical facts for AI agents