Ascora Strawberry

Your AI companion for Ascora.

Field work goes wrong when the job record, customer history, technician notes, and next action do not travel together. Strawberry can work beside Ascora to prepare a clearer job handoff, organise open questions by owner, draft customer follow-ups from confirmed service details, and create a review point before schedules, job records, or messages are changed.

Send the technician into the job with the context that matters.

A job description alone can hide previous visits, access constraints, promises made to the customer, and the question that still needs an answer before arrival. Strawberry can assemble the Ascora information you are reviewing into a focused handoff that distinguishes established facts from on-site checks.

Find the jobs that will become tomorrow’s fire drill.

An incomplete job becomes costly when the gap is discovered after dispatch.

Strawberry can help scan the job context you select for missing prerequisites, unclear ownership, or customer promises that need an operations decision before the schedule becomes fixed.

Turn confirmed service work into a helpful customer update.

Customers should not have to decode an internal job note to understand what happened and what comes next. Strawberry can draft a clear follow-up from the job details you have verified, retaining uncertainties as questions for the service manager rather than presenting them as completed work.

Let operations review the exceptions before the day starts.

After your team has tested a useful readiness review, make it a skill that captures its known risk signals. A routine can prepare an exception brief for an agreed work queue; people still approve any reschedule, customer contact, or edit to a service record.

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Frequently asked questions

Yes. It can organise the job record and other open context into a technician-ready brief with unresolved questions flagged.

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