Clear responsibilities. Better-informed people processes.

Bring policy, privacy and decision accountability into the people journey before personal information moves between teams or systems.

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A little less chasing. A little more clarity.

An employment-letter request with a review trail.

See an employee request move through factual clarification and human review, without presenting a generated document as legal advice.

Fictional product walkthrough. Sample people and actions. No live messages, integrations or AI calls.

With HirebrewContext moves with the work
Hirebrew PeopleIllustrative workspace
Ngozi NwosuEmployee
Employment confirmation letter
What still needs checking before Ngozi's letter is prepared?
Letter requestRequest detailsReviewer notes
The request owner adds context

A clear request starts the handoff

Ngozi requests an employment confirmation letter and specifies its intended use.

  • PurposeEmployee supplied
    In progress
  • Required factsAwaiting detail
    Pending
  • Wording reviewNot started
    Pending
Ngozi Nwosu

Please prepare an employment confirmation letter for my accommodation application.

In this exampleThe request and its owner are visible.

A scripted illustration, not a customer result or a promise of production availability. People review decisions.

The right review happens before the rollout.

People systems touch sensitive information, employment decisions and documents that carry real consequences. Legal teams need more than a generic compliance badge: they need to know what information is collected, who can use it and what happens next. Hirebrew's evaluation approach makes those questions part of workflow design, with clear boundaries between a useful process and a verified control.

Trace the personal-data journey

Follow candidate and employee information from collection through internal sharing. Identify the purpose, responsible owner and required retention or deletion treatment for each touchpoint.

Keep policy content under review

Explore letters, requests and employment-document workflows using approved sample content. Decide who can draft, approve and issue material, and which changes require renewed review.

Make decision accountability explicit

Set boundaries around interview feedback, employee cases and proposed AI assistance. Identify the people responsible for decisions and the evidence they need to retain.

Review the journey, not just the policy document.

Use a sample candidate-to-employee journey to identify the points at which policy, privacy or employment questions become operational requirements.

Illustrative workflow. Explore the ownership at each handoff.

Workflow ownerLegal + HR

Identify what information enters the process

List candidate and employee fields, the purpose for collecting them and the teams that request access. Keep unnecessary personal information out of evaluation datasets.

Workflow ownerPolicy owners

Name the approval responsibilities

Review letters, requests and case touchpoints. Define who owns templates, reviews sensitive changes and can authorise a final communication in the intended deployment.

Workflow ownerIT + privacy reviewers

Ask for evidence of controls

Turn access, retention, deletion and audit requirements into deployment tests. A visible interface or stated policy is not sufficient evidence that a control is enforced.

Workflow ownerBusiness + legal sponsors

Set conditions for live use

Record unresolved questions, permitted pilot data and any required approvals. Revisit the assessment when a new market, provider or AI workflow changes the proposed use.

See connected sample interactions in the product tour.

Explore the product

The right pieces.
Working together.

Start with a focused workflow. Connect more of the employee journey as your evaluation develops.

Candidate and employee journeys

Inspect the points where personal information changes hands.

Explore the capability

Letters and employee requests

Evaluate workflow ownership using approved sample content.

Explore the capability

Governance questions

Translate policy expectations into a deployment evidence list.

Explore the capability

Human-reviewed AI concepts

Explore assistance without delegating consequential decisions.

Explore the capability

AI should assist a reviewer, not replace one.

Brew examples are illustrative drafts and summaries. Define permitted inputs, review responsibilities and prohibited uses before considering a live provider or processing personal information.

Explore Brew AI

Start with sample data and an evidence checklist.

For operations in Nigeria and other African markets, identify applicable privacy and employment requirements with qualified local advisers rather than assuming one policy covers every entity.

Download the starting brief

A few good questions.

Is Hirebrew certified compliant?

No certification claim is made in this preview. Request deployment-specific evidence and assess the proposed processing against your organisation's applicable obligations.

Are letters automatically legally approved?

No. Your authorised reviewers must approve content, templates and issuance rules. A document workflow does not establish the legal suitability of its wording.

Can we define deletion requirements?

Yes, include them in the evaluation brief. The required behaviour, exceptions, responsible parties and test evidence must be agreed before live data is introduced.

All solutions

Good people.
A clearer way forward.

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