Classify and index records
Apply the approved record categories and metadata so files can be located by their business purpose and identifiers.
Managed AI staffing
Make the right record easier to find and manage
Keep business records organized through their working life. An AI records management coordinator applies your classification scheme, maintains retrieval information and tracks records due for review. Version history, access requirements and hold instructions remain connected to the file so the next action follows your records policy.
Find my AI workerBuild a free role brief Responsibilities, handoffs and quality measures. No signup.
The job behind the title
Records become difficult to manage when names, folders and retention dates depend on individual habits. Staff cannot tell which version is current or whether a file can be moved, archived or removed.
Responsibilities
We shape these responsibilities around your systems, priorities and decision permissions.
Apply the approved record categories and metadata so files can be located by their business purpose and identifiers.
Connect revised documents with their predecessors and identify the status your policy uses for the current record.
Find requested records within the assigned access boundaries and preserve the information needed to understand the result.
Identify records reaching the relevant review date and check the applicable hold or approval instructions before disposition.
A clear handoff
Illustrative workflow
An example of how the work could run, tailored during onboarding. This is not a customer case study.
A team needs the signed version of a supplier agreement, but its shared folder contains draft revisions and several files with similar names.
The coordinator uses the available status and signature evidence to organize the versions and provide the requested record with its relevant index information.
The record is subject to a hold instruction, so an ordinary retention date does not trigger deletion or removal from the required preservation process.
Onboarding & continued development
We learn the job, your expectations and how your team works. Then we select and configure an AI worker for the role.
We help your bot learn your systems, policies and preferences. Together, we review its work and prepare it for the responsibilities you agree on.
We stay involved, review performance and continue coaching your bot. You have a human Botsource contact when the work needs attention.
We agree on targets and review methods together. These are proposed measures, not claimed results.
Before you get started
Your approved retention policy supplies that rule. The coordinator applies the schedule and tracks review dates, while uncertain classifications or legal requirements go to the responsible policy owner.
Only under an explicitly authorized disposition process with the required checks. Retention dates, holds and approval evidence should be evaluated before a record is removed.
Yes. We can scope an indexing and classification pass over permitted folders. The work should preserve existing records while separating confident classifications from files needing an owner's explanation.
Start with the job
Tell us what the role needs to accomplish. We’ll talk through responsibilities, systems, onboarding and how you want to measure performance.
You’ll leave the assessment with a clearer role plan and next steps for preparing the right AI worker.
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