Your AI companion for HeyLibby.

Qualify incoming conversations with a consistent intake standard.

A strong first response depends on more than spotting a name and email address.

Strawberry can review HeyLibby conversations against the qualification details your team actually uses. These include requested service, location, timing, budget signals, urgency, decision-maker status, and the specific problem the person wants solved.

Ask a companion to separate clear opportunities from early-stage inquiries, duplicate requests, or conversations that need more information before a handoff. It can produce a concise qualification brief that cites the details found in the thread and calls out gaps such as an unclear service scope or no preferred date.

That gives your team a dependable starting point for each conversation without forcing everyone to interpret intake notes differently. Your staff remains responsible for the judgment calls; Strawberry helps make the relevant context easier to see and act on.

Route service requests using the details already collected.

Service requests often arrive incomplete, time-sensitive, or written in the customer’s own terms rather than your internal categories. Strawberry can read the conversation, identify the requested service and constraints, and prepare a routing recommendation based on the ownership rules you provide.

For example, a companion can distinguish a same-day repair request from a general estimate and recognize when a location belongs to a particular service area. It can also flag an inquiry that should go to a specialist because of its scope. It can also prepare an internal handoff note that captures the customer’s request, promised timing, relevant contact details, and open questions.

Use this support to make routing more consistent while avoiding the need to manually restate the same context each time a request changes hands. Review recommended assignments before applying them, especially where workload, availability, or customer priority affects the final decision.

Reduce intake friction without losing the details your team needs.

Long intake forms and repetitive back-and-forth can slow down a prospective customer before your team has enough information to help. Strawberry can help identify the smallest set of missing details needed to move a HeyLibby conversation forward, then prepare a clear, friendly follow-up that asks for them.

Rather than sending a generic request for “more information,” a companion can tailor the draft to the conversation. It can confirm an address for a local service request and ask for photos when the issue cannot be assessed from text. It can also clarify availability for an appointment or request the exact service option the customer is considering.

It can also spot questions the customer already answered, so your team does not ask them twice. That creates a smoother experience for the requester and produces cleaner intake records for the person who eventually owns the work.

Review follow-up coverage every weekday before the queue goes stale.

Set a recurring weekday review, such as 4:00 p.m.

each business day, for open HeyLibby conversations. In that review, have Strawberry inspect new leads without a first response, qualified inquiries awaiting next steps, and service requests missing key information. It should also inspect conversations where a promised callback or estimate date has passed.

The companion can group each item by urgency and recommended action: reply today, request a missing detail, route for ownership, or close as resolved. It can also prepare a manager-ready digest that shows where the queue is building and which handoffs lack a clear owner.

A consistent daily check prevents a high-intent lead from waiting unnoticed after asking about availability, or a time-sensitive service request from being buried beneath newer messages. Review the digest, then approve only the drafts, assignments, or record updates your team wants to make.

Frequently asked questions