Namely Strawberry

Your AI companion for Namely.

Namely teams coordinate employee records, onboarding, benefits and payroll context, performance cycles, and the many follow-ups that rely on accurate people data. Strawberry can use the Namely views, policies, and working documents you provide to prepare onboarding checklists and data-quality reviews. It can also prepare performance-cycle action packs and a cadence for resolving HR operations exceptions.

Let a new hire’s first week start with the facts already checked.

Onboarding crosses HR, the manager, IT, payroll, and the employee.

An apparently complete profile can therefore still conceal a blocked first day. Strawberry can prepare a readiness view from the sources you select and make each missing dependency visible to its owner.

Find people-data exceptions before they distort the next process.

An inaccurate team, manager, start date, or employment detail can travel into payroll, reporting, benefits, and approvals. Strawberry can organise discrepancies in the Namely records you open into a correction queue that keeps the supporting source close to the claim.

Keep the performance cycle from ending as a pile of unmade decisions.

Performance records often contain a rating, written feedback, calibration uncertainty, and a next action that belongs to different people. Strawberry can prepare a manager-facing follow-up pack without flattening those distinct parts into one generic summary.

Chase performance-cycle dependencies while managers still have time to respond.

A Tuesday-morning pass can identify the tasks that remain open before the weekly people-operations check-in and draft a precise manager follow-up for each one. The cadence is tied to a decision deadline, not an arbitrary recurring report.

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Frequently asked questions

It can work from the chosen Namely context and related HR materials, with the task limited to the employee data and decision needed.

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