Nobody can predict every permission a person will need. The request process is how a company says yes to the unexpected safely.

The Gap Birthright Access Leaves

Good companies give each role the access it commonly needs, automatically, on day one. This is often called birthright access. But no role list is perfect. A finance analyst occasionally needs to read a procurement report. A developer needs temporary access to a production database to fix an incident. A manager is added to a cross-team project. These are real needs that no rule predicted, and they must be handled one by one.

Three Ways to Handle the Unexpected

Access requests are often confused with neighboring ideas. Drawing clear lines helps you decide what belongs in this process.

What It Is

An access request is a recorded ask from a person, or on behalf of a person, for a specific piece of access, with a reason, an approval path, and usually an end date. If approved, the access is granted by the system, not by someone clicking in an administration screen. Every step is logged.

What It Is Not

• It is not a help desk ticket. Tickets are for problems. Requests are for access decisions with defined owners and automatic fulfillment.
• It is not sign-in security. Passwords and factors decide who you are. Requests decide what you may have.
• It is not an access review. Reviews look back at access already held. Requests look forward at access being asked for. They work together.
• It is not a replacement for roles. Common access should be automatic through roles and rules. Requests are for the exceptions.
• It is not a trust test. A good process assumes honest people and gives them an easy path, while keeping a record for the few cases that matter.

A dozen terms carry the whole subject. We explain each with an example from Lakeshore.

A request is only the beginning. The grant it creates has a life with a start, a middle, and an end, and good design plans for all three.

flowchart LR
    A["Ask with reason and duration"] --> C["Check eligibility and conflicts"]
    C --> P["Approve in sequence"]
    P --> G["Grant automatically"]
    G --> U["Use"]
    U --> R["Review"]
    R --> E{"End date reached?"}
    E -->|"Yes"| X["Remove access"]
    E -->|"Renew with reason"| P
    

Okta provides several pieces that work together. Knowing which does what keeps design clear. Product names and packaging change, so confirm which are included in your edition.

The exact set of resource types that can be requested, the approver types available, and the chat integrations supported differ by version. Check each against current documentation before you promise a design to your stakeholders.

flowchart TD
    CAT["Catalog of resources"] --> COND["Request conditions: who, what, how long, which approvers"]
    COND --> REQ["Request submitted"]
    REQ --> SOD["Conflict checks"]
    SOD --> APP["Approval sequence"]
    APP --> FUL["Fulfillment: assign access"]
    FUL --> LOG["System Log and reports"]
    FUL --> EXP["Expiry scheduled"]
    

The catalog is the menu. If it is confusing, people guess, ask for too much, or go around the process.

Levels of Granularity

What Makes a Good Catalog Entry

• A plain name. “Payments reports: read only” beats “PAY_RPT_RO_02.”
• A one-sentence description. What this lets you do, in everyday words.
• An owner. A named person or team accountable for the resource.
• A risk level. Low, medium, or high, which sets approval depth and duration limits.
• Who may ask. Eligibility by group, department, or location.
• A typical duration. A suggested time, with a maximum.

A catalog built by risk tier sends easy requests down a fast path and spends human attention only where it matters.

Sorting Resources by Risk

Bundles Reduce Guessing

Many people need the same group of things together. A new project member needs the project space, the repository, the chat channel, and the ticket board. Without a bundle, they request four things, wait for four sets of approvals, and may forget one. A bundle packages the set into one named request with one approval. Lakeshore defines bundles such as “New supplier audit toolkit” and “Plant maintenance starter pack.” Bundles must be owned and reviewed like any other resource, or they quietly grow into over-broad packages.

Request conditions are the rules of the front door. They decide who sees a resource, who may request it, what happens next, and for how long.

The Ingredients of a Rule

Rule Order and Defaults

If several rules could apply, the system needs a clear way to choose. Learn how your Okta version orders and combines rules, and keep the set small enough to understand at a glance. A rule that everyone can request with no approval, placed carelessly, can quietly undercut a stricter rule meant for a risky resource.

Who approves, and in what order, decides both how safe and how slow the process is.

Common Approver Types

Sequences

Approvals can run one after another, so each approver sees the earlier decisions. Many designs put the manager first, since the manager can reject obvious mistakes cheaply, then the owner, then a control team for high risk. More steps mean more safety and more delay. Add a step only when it adds a decision no earlier step can make.

flowchart TD
    R["Request submitted"] --> M{"Manager approves?"}
    M -->|"No"| D1["Declined with reason"]
    M -->|"Yes"| O{"Resource owner approves?"}
    O -->|"No"| D2["Declined with reason"]
    O -->|"Yes"| H{"High risk resource?"}
    H -->|"No"| G["Grant access"]
    H -->|"Yes"| S{"Security team approves?"}
    S -->|"Yes"| G
    S -->|"No"| D3["Declined with reason"]
    

Let us name the parts that cooperate when a request is processed.

flowchart LR
    DIR["Profile data: manager, department"] --> ENG["Request engine"]
    CAT["Catalog and rules"] --> ENG
    USER["Requester"] --> ENG
    ENG --> NOT["Notifications to approvers"]
    NOT --> APR["Approvers"]
    APR --> ENG
    ENG --> FUL["Fulfillment"]
    FUL --> APP["Target application"]
    ENG --> LOG["System Log and reports"]
    

Follow Anika’s request for payments reports from click to grant.

sequenceDiagram
    participant A as Anika
    participant E as Request engine
    participant S as Conflict checker
    participant M as Manager
    participant O as Payments owner
    participant F as Fulfillment
    participant P as Payments app
    A->>E: Request payments reports, six months, with reason
    E->>E: Check Anika is eligible for this resource
    E->>S: Check for conflicting access
    S-->>E: No conflict
    E->>M: Ask for approval with context
    M-->>E: Approve
    E->>O: Ask for approval
    O-->>E: Approve
    E->>F: Assign access with end date
    F->>P: Create or update access for Anika
    P-->>F: Confirmed
    F-->>E: Grant recorded
    E-->>A: Notify access is active
    E->>E: Schedule expiry in six months
    

Where Things Can Go Wrong

A request moves through named states. Knowing them helps you read reports and diagnose stuck items.

The state names in your Okta version may differ. The idea is the same: each request is always in one state, and a healthy process has few requests lingering in pending or failed.

flowchart LR
    S["Submitted"] --> P["Pending approval"]
    P -->|"approved"| A["Approved"]
    P -->|"declined"| D["Declined"]
    P -->|"withdrawn"| C["Cancelled"]
    A -->|"grant ok"| F["Active"]
    A -->|"grant error"| X["Failed"]
    X -->|"retry"| A
    F -->|"end date"| E["Expired"]
    

Approval is a decision. Fulfillment is the work of making it true in the target system. The method used decides how reliable and how fast it is.

Choosing a Method

Prefer the most automatic method the application supports. Move manual-ticket applications up your list for integration work, since they are where approved access most often fails to arrive, or fails to be removed at expiry. Which methods your applications support depends on their connectors, so verify each in the integration notes.

What you ask requesters to write shapes the quality of every decision after it.

Good Questions, Few Questions

A request form can ask for a reason, a project name, a ticket number, or other details. Too many fields make people type nonsense to get through. Too few leave approvers guessing. Aim for two or three questions that approvers truly use.

• Why do you need this? Free text, but with a prompt such as “Which task or project is this for?”
• How long? A choice from allowed durations, not a free number.
• Reference. A ticket or project code, when the company uses one.
• Extra for high risk. Such as whether training is complete, or whether a second reviewer has agreed.

Guiding Better Answers

The biggest single improvement most request processes make is giving access an end date.

Why End Dates Matter

Without end dates, temporary access becomes permanent through neglect. After three years, hundreds of grants nobody remembers still sit in the system, each a possible door for an attacker, and each a headache for reviewers who cannot tell which were meant to be short. With end dates, the default is removal and keeping needs an active decision.

Choosing Durations

Renewal Without Rubber-Stamping

Send a reminder before expiry, ask whether the access is still needed, and route the renewal through approval again for higher tiers. For low-risk items, a simple one-click confirmation by the beneficiary may be enough. Track renewal rates: if almost everything is renewed without comment, durations may be too short, or approvers may be stamping without thought.

Real organizations have assistants, team leads, and holidays. The process must handle them without opening loopholes.

Requests on Behalf of Someone

A manager may need to request access for a new team member who cannot yet sign in, or an assistant may submit requests for an executive. Allow this where it saves time, but keep the record clear: it should show both who asked and who the beneficiary is. Approvers must see both names. Consider forbidding requests on behalf for the highest-risk resources, so the beneficiary confirms in person.

When Approvers Are Away

A request stuck because the only approver is on holiday is a design fault. Common remedies:

• Delegates. Approvers name a stand-in for a defined period, and the delegation is logged.
• Approver groups. Use a group so any member may decide.
• Escalation. After a set time, the request moves to the approver’s manager or to a backup group.
• Out-of-office handling. Use automation to detect when an approver is on leave and route accordingly, where your tools allow it.

Requested access belongs to a job and a time. When the job changes, the access should not follow automatically.

Leavers

When a person leaves, deactivation removes sign-in and typically triggers removal of assigned access. Check that requested grants and temporary grants are also cleaned up, including those in applications with manual fulfillment. Cancel pending requests from or for the person, and reassign requests they were approving.

Movers

When a person changes department, their old birthright access should go and new birthright access should arrive. Requested access needs a decision. A sensible approach is to trigger a review of requested grants at the time of the move, ask the old and new manager whether each is still needed, and set a short deadline for answers. Grants not confirmed are removed.

A request that sits unanswered is a failure of the process, even if nobody said no.

A Typical Timeline

Service Levels

Set targets for how quickly each tier should be decided: for example, low risk within one day, medium within two, and high within three. Report on them. Targets turn “it feels slow” into numbers that can be improved.

Access that is never used is pure risk. Usage signals help you shrink it safely.

Finding Unused Grants

Many applications can report when each user last signed in or used a feature. Okta’s sign-in logs also show last access for applications that use single sign-on. Compare these signals with granted access to find people who have not used a granted resource for a long time, such as ninety days.

Responding Gently

• Warn first. Tell the person, “You have not used this for 90 days. It will be removed in 14 days unless you confirm.”
• Make keeping easy. One click to confirm, with a reason.
• Remove if silent. Remove without drama, and make re-requesting simple.
• Be careful with rare tasks. Year-end or disaster-recovery access may be used rarely on purpose. Mark such resources as exempt, with a clear reason.

Some combinations of access are dangerous even when each piece is harmless. The request is the best moment to catch them.

The Idea

Separation of duties means no single person should be able to complete a sensitive process alone. For example, the person who creates a supplier should not also release payments to that supplier. A rule defines a pair or group of accesses that must not be held together. When someone requests the second piece, the system compares it with what they already hold.

What to Do When a Rule Fires

• Block with an explanation. Tell the requester which combination caused the problem.
• Offer an exception path. A risk owner accepts the risk in writing, access is time-limited, and extra monitoring applies.
• Log it. Blocked attempts are evidence that the control works.
• Check from both directions. The conflict can arise when adding either side of the pair.

Okta’s governance features include conflict checking capabilities in some editions. Confirm what yours offers, and how conflicts are defined and displayed.

The best request process meets people where they already work and takes routine steps off human hands.

Meeting People in Chat

Many companies let employees request and approve access from a chat tool. A message appears with the request details and Approve and Decline buttons. This shortens approval times dramatically, because approvers no longer need to find a separate website. Okta supports integrations with some chat tools, and which tools and features are available depends on version, so confirm. Take care that chat approvals still identify the approver strongly, and that the record includes the approver’s identity.

Helpful Automations

Guardrails for Automation

• Cap how many grants one automation may perform per hour.
• Prefer reversible actions and keep logs of every automated decision.
• Test with sample users in a non-production org first.
• Give every flow an owner and a review date.

Some resources cost money for each person who holds them. The request process is a natural place to control that spending.

Why Cost Matters Here

Paid software seats, cloud workspaces, and premium tools are often bought per user. Without control, seats are handed out freely, and the company pays for unused licenses. A request process can check availability, ask for a business reason, route cost approval to a budget owner, and return seats when access expires or goes unused.

At three in the morning, with a production outage, nobody wants to wait for a three-step approval. Plan the emergency path in advance, so people do not invent one.

Principles

• Fast but not free. Grant quickly, with after-the-fact review instead of before-the-fact approval.
• Short and limited. Access lasts hours, not days, and only for the needed system.
• Loud. Every use alerts security and the resource owner immediately.
• Reviewed. Within a day or two, someone checks that the use matched the incident and records the outcome.
• Reserved. Only named on-call roles can use it, and abuse has consequences.

flowchart TD
    I["Incident declared"] --> R["On-call requests emergency access with incident number"]
    R --> V{"On-call role and valid incident?"}
    V -->|"No"| D["Denied"]
    V -->|"Yes"| G["Grant short-lived access"]
    G --> A["Alert security and owner"]
    G --> T["Access expires in hours"]
    T --> RV["Post-incident review of what was done"]
    RV --> L["Record and learn"]
    

Administrator rights can change everything else. They deserve the strictest version of the request process.

The Approach

• Request, do not hold. Rather than permanent admin rights, people request them when needed, for a short time.
• Narrow roles. Offer scoped administrator roles in the catalog, such as “help desk: reset passwords for one department” rather than “super administrator.”
• Stronger approval. Include a security approver, and a second person for the most powerful roles.
• Strong sign-in. Require phishing-resistant factors and managed devices when the access is used.
• Separate accounts. Admins use dedicated accounts for admin tasks.
• Alerts and review. Every grant and use of admin access is logged and watched.

People outside the company need access too. They also have no human resources record to trigger removal when they leave.

The Sponsor Model

Every external person has a named employee sponsor who vouches for them. The sponsor makes or approves requests on their behalf, and the sponsor is responsible for ending the access. When the sponsor leaves, the process transfers sponsorship or ends the accounts. A mandatory end date at creation prevents forgotten accounts.

Every catalog entry needs a person who answers for it. Owners are the most under-supported role in most request programs.

What an Owner Does

• Describes the resource in plain words, and keeps the description current.
• Sets the tier with security, based on what the access allows.
• Approves requests or names who does, with backups for absence.
• Reviews who holds the access on a schedule, and confirms removal when no longer needed.
• Answers questions from requesters and approvers about what the access means.
• Retires entries that nobody needs.

Supporting Owners

If asking is painful, people share passwords or ask a friend with access. A good front door is easy to find and easy to use.

What Requesters Want

• One place to ask. A well-known page, a link in the dashboard, or a chat command, not five different forms.
• Search that works. Searching “reports” finds the entries with plain names and descriptions.
• Clear expectations. Before submitting, show who will approve and the typical wait.
• Status they can see. A “my requests” view with state and next step.
• Helpful rejections. A short reason and a suggestion for what to do next.
• No dead ends. If a resource is not requestable, say how to get help.

A manager who approves fifty requests a week without reading them is not a control. Design for the approver as carefully as for the requester.

Why Approvers Rubber-Stamp

• Too many requests, including trivial ones that did not need approval.
• Too little context: only a name and a cryptic resource title.
• No consequence for approving badly, and no feedback when it goes wrong.
• A clumsy tool that makes careful reading harder than clicking.

Helping Approvers Decide Well

Not every request needs a human. The safest way to reduce approver fatigue is to remove approvals that add no safety.

When Automatic Approval Is Reasonable

• The resource is low risk and does not expose sensitive data.
• The requester’s role or department naturally fits the resource.
• Peers in the same role commonly hold the same access.
• The access has an end date or is tied to the role.
• There is no conflict with separation of duties rules.

Keeping It Honest

Auto-approval is a design decision about risk, and it should be signed off by the resource owner and security, not decided quietly by the request team to hit a speed target.

Requests tell you what your roles are missing. Used well, they are a free source of design feedback.

The Feedback Loop

If forty finance analysts each request the same report within their first month, the role is incomplete. The request data is a vote. Review request counts by resource and by role every quarter. When one resource is requested by most members of a role, consider adding it to the role’s birthright access, after checking the risk with its owner. When a birthright item is almost never used, consider removing it.

The system that grants access is a prize. If an attacker controls it, they can grant themselves anything and hide the trail.

Habits That Help

• Keep the number of request administrators small and protect them well.
• Require a second person to review any change to approval rules.
• Alert on new approvers added to sensitive resources.
• Keep an independent copy of the decision records.

A perfect process that nobody uses protects nothing. People change habits when the new way is easier, clearly explained, and backed by leaders.

A Rollout Plan for People

A handful of numbers shows whether the front door is working or merely running.

What to Record

Okta’s System Log records events around requests, approvals, assignments, and removals, usually with the actor, the target, and the outcome. Event names and fields change by version, so inspect real events in your own org. Stream logs to a monitoring platform, since in-product retention is limited.

Alerts Worth Having

• A grant of administrator or critical access.
• A change to approval rules or approver groups.
• Several requests from one person for unrelated high-risk resources in a short time.
• An emergency access use.
• Fulfillment failures above a small threshold.

flowchart LR
    SL["Okta System Log"] --> STR["Streaming"]
    STR --> PLAT["Monitoring platform"]
    PLAT --> DASH["Dashboards: times, volumes, rates"]
    PLAT --> ALR["Alerts: admin grants, rule edits, failures"]
    ALR --> SEC["Security team"]
    DASH --> REV["Monthly process review"]
    

A request process produces the evidence auditors want as a by-product, if it is designed with them in mind.

What Auditors Ask

Auditors pick a random person and ask: what access do they have, who approved each item, why, and when was it last checked? Different frameworks, such as those for financial reporting, service organization controls, information security standards, health data rules, and payment card rules, phrase it differently, but the questions are similar. This section is general orientation, not audit advice. Your compliance team should confirm the exact expectations.

Making Evidence Easy

• Be able to retrieve the full story for any single person within minutes.
• Store reports where they cannot be quietly edited.
• Keep records as long as your policy and regulations require.
• Write short control descriptions with owners and frequencies, so walkthroughs are quick.

When a company runs more than one Okta org, or merges with another, the front door must decide which org owns each request.

Questions to Settle

• Home org. Each person has one home org that owns their identity, manager, and status. Requests for them are decided there.
• Resource org. A resource may live in another org. The home org’s approvers and the resource org’s owner may both be needed.
• Catalog consistency. The same resource should have the same name, tier, and rules in every org, or people will be confused and auditors will find gaps.
• Evidence in one place. Stream logs from every org to one monitoring platform, so that a person’s story can be told in full.
• Merger timing. During a merger, people from the new company need access to shared tools before systems are merged. Use sponsors, end dates, and narrow bundles until the orgs are combined.

Okta offers ways to connect orgs, with details that vary by product and version, so confirm the options. The principle stays the same: one owner per decision, the same rules everywhere, and one evidence trail.

A process that works for fifty requests a week must also work for five thousand.

Where Scale Hurts

• Approver load. Volume multiplies by people, and a few managers may carry most of it.
• Bulk onboarding. A new hire intake or a merger produces a wave of requests at once.
• Fulfillment limits. Target applications and Okta have rate limits that can slow grants during bursts. Check current documentation.
• Catalog growth. More entries mean more owners, rules, and reviews.

Failure Scenarios

When someone says “my request is stuck” or “I was approved but cannot get in,” a steady routine finds the cause quickly.

The Routine

• Find the request and note its state.
• Read the log history for that request and person.
• Check profile data used for routing and eligibility.
• Check fulfillment and the target application directly.
• Fix the case, then fix the cause, then look for others with the same pattern.

Access requests are one of the most practical expressions of a famous security principle: never trust, always verify, and give only what is needed.

How Requests Support Zero Trust

Requests also work alongside sign-in policies. A high-risk resource can require a strong factor, a managed device, and a normal sign-in pattern each time it is used, in addition to having been approved. Approval says you may have it. Sign-in policy says whether this particular attempt to use it looks safe.

A request process is a bargain. It costs effort and delivers control. Look honestly at both sides.

Main Trade-offs

Habits that keep request processes healthy, and mistakes that keep recurring.

Patterns That Work

Anti-Patterns

New request programs repeat the same early mistakes. Knowing them in advance is a cheap form of experience.

A few wrong beliefs cause most of the disappointment. Clearing them up early saves effort.

When a new kind of request appears and nobody knows how to handle it, ask the same short list of questions in the same order.

flowchart TD
    Q1{"Do most people in this role need it?"} -->|"Yes"| BR["Add to role as birthright access"]
    Q1 -->|"No"| Q2{"Is it low risk and well understood?"}
    Q2 -->|"Yes"| AUTO["Catalog entry with automatic approval and logging"]
    Q2 -->|"No"| Q3{"Could it create a conflict or give admin power?"}
    Q3 -->|"Yes"| STRICT["High tier: multiple approvers, conflict check, short duration"]
    Q3 -->|"No"| MED["Medium tier: manager and owner, end date"]
    

• If the answer to the first question is yes, the request process is the wrong tool. Fix the role.
• If the resource has no owner, find one before listing it.
• If you cannot explain in one sentence what it allows, it is not ready for the catalog.
• If it is rarely requested, a manual path with a ticket may be enough for now.

A short list to check before launch and each year after.

Foundations

• Manager, department, and employment status data come from a trusted source and are monitored for gaps.
• Birthright access covers common role needs, so requests are for real exceptions.
• Every catalog entry has a plain name, description, owner, and risk tier.

Rules

• Approval depth follows risk tier, and low-tier requests are auto-approved where safe.
• Durations are set by tier, with end dates by default above low risk.
• Self-approval and approval loops are blocked.
• Separation of duties rules protect the most sensitive processes, with a documented exception path.

Experience

• Requesters have one clear place to ask and can see status.
• Approvers get context, one-click decisions, and reminders with escalation.
• Rejections include a reason and a next step.

Operation and Evidence

• Logs stream to an independent platform, with alerts on admin grants and rule changes.
• Metrics are reviewed monthly, including approval rates and times.
• Expired grants are reconciled against the application.
• Emergency access is fast, loud, and reviewed.
• Evidence for any person can be retrieved within minutes.

Most request projects do not fail on big ideas. They fail on small details that nobody wrote down.

Let us put the pieces together by designing a complete request process the way a working team would.

Step 1: State the Goals

Lakeshore wants requests approved within two days for ordinary access, a full record of every decision, no permanent privileged access, and fewer manual group edits by administrators.

Step 2: Fix the Data

The team checks manager, department, and status fields from human resources. It finds 140 people with no manager and 60 pointing to leavers. It fixes the feed first, since routing depends on it.

Step 3: Build a Small Catalog

The team lists the twenty most requested items, gives each a plain name, owner, and tier, and groups them into four bundles. The rest stay out of the catalog until they prove common.

Step 4: Write the Rules

Step 5: Add Experience and Automation

A single request page and a chat approval option are launched. Reminders and escalation are configured. Tickets are opened for the two applications that cannot be provisioned automatically.

Step 6: Add Eyes

Logs stream to the monitoring platform. A monthly review looks at decision times, approval rates, stuck requests, and expired-grant reconciliation.

flowchart TD
    G["Goals"] --> D["Clean manager and status data"]
    D --> C["Small catalog with owners and tiers"]
    C --> R["Tiered rules and durations"]
    R --> X["Experience and automation"]
    X --> M["Monitoring and monthly review"]
    M --> C
    

Abstract rules are easier to grasp when you watch them work. Here is a typical week at Lakeshore after the redesign.

Stories from the fictional Lakeshore Manufacturing show the ideas at work. All numbers are illustrative.

Worked Numbers: Why Tiering Cuts Approver Load

Suppose Lakeshore receives 4,000 requests a month. In the old design, every request needs a manager and an owner, which means 8,000 approval decisions.

Human decisions drop from 8,000 to about 3,960, roughly half, while the high and critical tiers now receive more scrutiny than before. The numbers are invented to show the method. The principle holds: remove approvals that add no safety so that the remaining approvals can be real.

Leaders fund what they can see working. A few before-and-after measures tell the story of what the request process achieved.

Telling the Story

Pick three measures that matter to your leaders, record them before the program starts, and report them every quarter. Pair numbers with a short story, such as the audit that took two days instead of two weeks. Numbers show scale, and stories show meaning. The figures above are illustrations of the kind of change to expect, not promises, so measure your own starting point.

Nobody builds the perfect process at once. A short path shows where you are and what to do next.

flowchart LR
    A["Fix data and name owners"] --> B["Build small catalog"]
    B --> C["Pilot one department"]
    C --> D["Widen with chat approvals"]
    D --> E["Add conflict checks"]
    E --> F["Measure, review, improve"]
    

A request record says a lot about a person: what they work on, what they were refused, and who they ask. It should be handled with care.

• Limit who can read it. Approvers see requests meant for them. Administrators and auditors see more, under logged access.
• Keep free text clean. Warn requesters not to type personal or sensitive details into the justification.
• Set retention. Keep records as long as audit and policy require, then delete.
• Watch for unfair patterns. If certain teams or regions are declined far more often, check whether the rules or the data are at fault.
• Do not repurpose. Request data collected for access control should not be used to judge performance.
• Check regional rules. Employee data laws differ across countries, so involve legal and privacy teams.

A quick reference for the words used in this guide.

An access request process turns scattered favors into a recorded, time-limited, proportionate system. Done well, it is faster for honest people and clearer for auditors than the chat threads it replaces.