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Fix the driver behind crashes, sound loss and screen glitchesFind Drivers →Repair Windows errors before they cause bigger problemsFix Now →Scan for outdated or missing drivers - takes under a minuteDriver Scan →Set up an AI HR agent with a named identity, access limited to approved records and operations, and a written route to an empowered human whenever a request is consequential, uncertain, or outside policy. Before it goes live, document what it may read, draft, recommend, or execute; who owns each decision; what happens when a rule cannot be evaluated; and how approvals and actions are recorded. There is no universal HR-agent permission matrix or escalation deadline: configure these controls for the agent’s integrations, workflows, organization, and jurisdictions.
1. Inventory the agent’s tasks, data, and connected systems
Begin with an inventory of every intended task and every system the agent can access. Do not describe the agent’s remit only as “HR support”: that phrase does not tell an operator whether it can view a candidate’s application, change an employee record, or send a message.
For each task, record the business purpose, the records and fields involved, the operation requested, the workflow stage, and whether the agent retrieves information, drafts content, recommends an outcome, or executes an action. Include integrations and tools that can change data or communicate externally, not only the conversational interface.
Give the agent a distinct, authenticated service identity so policy and logs can distinguish its requests from those of a human user. NIST’s NCCoE describes identity, authorization, and governance as foundational concerns for agent deployments; its Agentic AI Identity and Authorization project resource hub is an evolving project, not a finished HR-specific permission template.
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2. Turn the inventory into an authorization policy
Write a policy that decides whether a particular identity may perform a particular operation on a particular record in a particular context. NIST SP 800-162 defines attribute-based access control (ABAC) as evaluating attributes associated with the subject, object, requested operation, and sometimes the environment against policies, rules, or relationships. ABAC is one possible design; NIST does not require organizations to use it for HR agents.
A role name alone may not answer whether an operation is appropriate for a specific candidate record, workflow stage, or requester. If using ABAC or a comparable policy model, define the attributes and deny conditions that matter to your workflows. The examples below are design choices to assess, not a NIST-mandated attribute list.
| Policy field | Decision to document |
|---|---|
| Agent identity | Which authenticated service identity is making the request, and how is it distinguished from a human requester? |
| Data object | Which employee or candidate records and fields are in scope? Which are excluded? |
| Operation | Is the request to read, draft, recommend, or execute? Which specific actions are allowed? |
| Context | Do requester authority, workflow stage, or other approved conditions change the decision? |
| Decision | Is the request allowed, denied, or held for human review? What happens if required context is missing or conflicting? |
| Owner | Who approves policy changes and handles exceptions? |
| Evidence | What policy decision, approval, and action record is retained under the organization’s rules? |
Separate permission levels by effect
Make the distinction between retrieving information and changing someone’s employment status explicit. A practical starting point is to define permissions in four levels:
- Read: retrieve only the approved records and fields needed for the task.
- Draft: prepare a message or document for a person to review, without sending or saving it as a final decision.
- Recommend: provide an assessment or suggested next step, with a defined human reviewer and no implied authority to decide.
- Execute: perform a specified change or communication. Grant this only for actions the organization has explicitly approved, with clear conditions and a way to review the resulting record.
For each permission, specify both what the agent may do and what it must not do. For instance, permission to draft a candidate email should not silently confer permission to send it, change an application status, or reject the candidate. Where a request exceeds the policy, the agent should not improvise a workaround; deny or hold the action and route it according to the escalation rules.
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3. Name the human owners and their authority
Assign an accountable risk owner and operational owners for the functions involved—for example, HR, security, privacy, legal, and system administration, as appropriate to the organization. NIST’s AI RMF Playbook recommends that organizations define and differentiate human roles, responsibilities, and delegated authorities for AI oversight. It does not prescribe a particular organization chart.
Put the authority in writing rather than relying on job titles or informal understandings. Specify who can:
- approve the deployment and changes to the permission policy;
- monitor the agent and investigate alerts or errors;
- review a case or recommendation and make the relevant employment decision;
- approve, reject, or override a proposed action;
- suspend the agent or a specific integration; and
- authorize a return to service after a suspension.
Where practical, separate routine monitoring from review of consequential cases. A reviewer needs the authority and context to make a real decision, not merely a notification that an AI output exists. The Playbook’s GOVERN guidance also recommends defined oversight responsibilities and escalation paths along internal and external accountability chains.
4. Map escalation triggers to a destination and interim action
Create a trigger-to-owner map before deployment. These example triggers are implementation choices to evaluate for your environment; neither NIST nor the employment sources prescribe a universal list or response-time standard.
| Trigger to assess | Route to | Interim behavior to define |
|---|---|---|
| The requested operation is not in the approved set, or the record is out of scope. | The policy owner or designated HR operations owner. | Deny or hold the operation; do not substitute a different action. |
| Authorization context is missing, inconsistent, or cannot be verified. | The access-policy owner; involve security or system administration if the identity or integration is in question. | Do not proceed until the required context is verified. |
| A system error, unexpected behavior, or security concern could affect data or actions. | The designated technical or security incident owner, with the accountable risk owner as appropriate. | Pause the affected action or integration under the organization’s incident process. |
| The request could affect a consequential employment outcome, such as ranking or scoring candidates. | A qualified HR decision-maker, with legal or compliance review where appropriate. | Keep the agent’s output advisory unless a specifically authorized process permits more. |
| A request involves disability, medical information, or an accommodation process. | The organization’s designated accommodation or HR specialist; involve legal or privacy staff as appropriate. | Route through the established accommodation process and avoid unnecessary collection or disclosure. |
For every trigger, document the destination role, the information the reviewer needs, what the agent may safely do while waiting, who has decision authority, and how the case is closed. Set response expectations and deadlines that fit the organization’s staffing and legal obligations; no source cited here establishes a universal escalation service level.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.5. Apply additional review to employment and disability workflows
Recruitment, ranking, and selection
Do not treat a “human in the loop” label as sufficient proof that a candidate-ranking workflow is low consequence. The European Commission’s AI Act Service Desk describes certain employment systems that rank or score candidates as high-risk in the outlined cases, including where the system’s output is a primary decision input even though a recruiter retains discretion to review or override it. See the Commission’s employment guidance for the described scope. This is EU AI Act context, not a statement about every jurisdiction or every HR tool; check the current legal requirements for the deployment and use case.
Disability and accommodation
Provide a route for reasonable-accommodation requests and assess whether an automated workflow could screen out a person with a disability who could perform the job with an accommodation. The EEOC and Department of Justice have warned about disability discrimination risks from employment technologies, including screening and collection of disability or medical information. Their May 12, 2022 announcement identifies these concerns; avoid collecting such information through an automated workflow unless it is necessary and handled through an appropriate process.
6. Record decisions, train operators, and review changes
Keep records that let authorized reviewers reconstruct what happened: the agent identity, relevant request and record references, policy decision, escalation reason, human approval or override, and any resulting action. Define retention and access under the organization’s own rules and applicable requirements. Avoid logging more sensitive HR content than is necessary for accountability.
Train operators and reviewers for their separate responsibilities: how to interpret outputs, recognize uncertainty or risk, use the escalation route, and respond to system changes. Revisit permissions and routing when tasks, integrations, applicable laws, or observed system behavior change. NIST’s AI RMF Playbook discusses role-appropriate training and documented risk escalation paths in its Govern guidance.
Quick Recap
Pre-launch review
- Confirm that the task and integration inventory matches the deployed agent and its current access.
- Test allowed, denied, and held requests for each operation level, including missing or conflicting authorization context.
- Verify that each escalation reaches a named role with the authority and information needed to act.
- Check that consequential employment and accommodation cases follow the organization’s qualified human review process.
- Confirm that approval, override, suspension, and return-to-service authority is documented, and that records capture policy decisions and resulting actions.
- Set an owner and review point for reassessing permissions, escalation routes, and training after relevant changes.
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