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change-advisory-board-process

Design, implement, or audit a Change Advisory Board (CAB) process for Salesforce deployments: change classification (standard, normal, emergency), required approvals, deployment gate sequencing, and integration with external ITSM tooling. NOT for scoring how risky one release is - use admin/deployment-risk-assessment. NOT for executing or troubleshooting the deployment itself - use admin/change-management-and-deployment. Also covers: the CAB charter (membership, quorum, decision rights), the CAB decision record artefact and its linter, the change classification matrix, the deployOptions a CAB decision pins (checkOnly, testLevel, rollbackOnError, ignoreWarnings, runTests), the 10-day quick-deploy validity window, the deploy-window vs freeze-register check, and the emergency (ECAB) path with its mandatory retrospective.

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含まれるファイル(8)

  • SKILL.md29.2 KB
  • references/examples.md9.3 KB
  • references/gotchas.md18.0 KB
  • references/llm-anti-patterns.md8.7 KB
  • references/well-architected.md9.3 KB
  • references/worked-examples.md27.3 KB
  • scripts/check_change_advisory_board_process.py32.5 KB
  • templates/change-advisory-board-process-template.md6.3 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

Change Advisory Board Process

This skill activates when a team needs to define, implement, or audit a Change Advisory Board (CAB) process for governing Salesforce deployments. It covers ITIL-derived change classification, multi-stakeholder approval design, deployment gating against external ITSM tooling, and coordination with Salesforce's seasonal release upgrade calendar.


Before Starting

Gather this context before working on anything in this domain:

  • Confirm whether the organization already has an enterprise ITSM platform (ServiceNow, Jira Service Management, etc.) — the CAB process must integrate with it, not replace it.
  • Identify which Salesforce metadata types are in-scope for high-risk classification: Profile/Permission Set changes, Sharing Rules, Validation Rules affecting critical objects, Flow/Process Builder automation, Named Credentials, Remote Site Settings, and any Connected App OAuth scopes.
  • Establish the next Salesforce seasonal release dates (Spring, Summer, Winter). The sandbox preview window opens approximately 4–6 weeks before the production upgrade, and the production upgrade is rolled out in three waves over several weekends. Deployments staged in or near this window may encounter platform-behavior drift between sandbox and production. UNVERIFIED (2026-09-05): the "approximately 4–6 weeks" preview lead time and the three-weekend wave structure are not asserted in any of the extracted guides, and help.salesforce.com cannot be fetched from this environment. What the Metadata API Developer Guide does state is that "Salesforce performs major service upgrades three times per year" and that you should "avoid running deployments during the service upgrade", checking Salesforce Trust for your instance's date (api_meta.txt L2115–2125). Take the instance-specific dates from Trust and the preview rules from admin/salesforce-release-preparation; do not hard-code the interval.
  • Confirm whether regulated-industry requirements apply (GovCloud for US Federal/HIPAA orgs applies additional Significant Change Notification obligations to the Salesforce trust team).

Questions to Ask Before Configuring

Ask these before writing a charter or approving anything. Each one traces to a gotcha, and a board that skipped them produces an approval that reads well and enforces nothing.

AskWhy it mattersWhat a good answer adds
"Which single role can say no and not be outvoted, and on what exactly?"A quorum expressed only as a number lets three admins approve a sharing change. Veto scope is the difference between a board and a headcountrequired_roles per tier in the charter, plus a named veto scope and its escalation route
"Which org was the validation run against, and on what date?"A validated set qualifies for deployment without re-running tests only for the target environment it ran against, and only for 10 days (Gotcha 6)validation_id, validation_target_org and validation_date on the decision record, which the checker enforces
"What is the rollback in metadata terms, and has anyone actually run it?"Cancelling a running deploy is not an undo — a deployment in Finalizing Deploy cannot be cancelled at all (Gotcha 9)A pinned previous package, an owner, an RTO, and the manual Setup steps no package can carry
"Who in production holds Author Apex, Deploy Change Sets, Modify All Data, or Modify Metadata Through Metadata API Functions?"That set, not the set with pipeline credentials, is the gate's real perimeter — and Author Apex grants metadata deployment as a side effect (Gotcha 10)A reviewed access list, and an honest statement of which paths the gate does not cover
"Which instance is this org on, and when is its next service upgrade?"Salesforce advises avoiding deployments during a service upgrade; an interrupted deploy is retried from the beginning (api_meta.txt L2115–2125)A freeze register with a citable source and a named exception approver per range, instead of someone's recollection
"Does anything in this package delete a component or convert a relationship field?"Destructive changes are an ordering decision, and checkOnly cannot validate a Master-Detail ↔ Lookup conversion at all (Gotcha 7)The right evidence artefact for the tier — a full sandbox deploy where a validation would always come back red
"What evidence closes each approval condition, and who owns it after the deploy?"Conditions attached to a vote are the thing that silently evaporates between the meeting and the windowconditions[].owner and conditions[].blocks, and a dated post-implementation review that checks them off

What a proper CAB process adds over just approving deployments: the board's decision is a linted, version-controlled record pinned to one package, one set of deploy options and one window — so an auditor, and the next release, can reconstruct what was approved and on what evidence rather than reading a thread.

Core Concepts

Change Classification Tiers

ITIL defines three change tiers that map cleanly to Salesforce deployment governance:

  • Standard change — pre-authorized, repeatable, low risk. Examples: adding a custom field to a non-critical object, updating a report or dashboard, activating a cloned email template. No CAB meeting required; implementation follows a pre-approved runbook.
  • Normal change — requires full CAB review before deployment. Examples: any modification to Profiles or Permission Sets, Sharing Rule changes, Flow deployment to production, new Named Credential or Remote Site Setting, any integration endpoint change. Approval requires sign-off from at least the Salesforce Admin, the relevant Business Owner, and Security/IT where permissions or data access changes are involved.
  • Emergency change — unplanned fix required to restore service or prevent imminent harm. Routed to an Emergency CAB (ECAB), a smaller rapid-response quorum (typically 2–3 approvers rather than the full board). ECAB approvals require a mandatory post-implementation review within 5 business days.

CAB Runs Outside Salesforce

Salesforce does not ship a native CAB feature. The CAB meeting, change ticket lifecycle, and deployment gate enforcement all live in the organization's ITSM platform (ServiceNow, Jira Service Management, Freshservice, etc.). The deployment toolchain (Salesforce CLI, Copado, Gearset, DevOps Center) must be configured to require a valid approved change request number before a production deploy can execute. The CAB process governs when a deployment is authorized; the deployment tool executes it.

Attempting to implement CAB governance using Salesforce-native Approval Processes is an anti-pattern (see llm-anti-patterns.md). Approval Processes govern record-level business workflows with no pipeline awareness.

Seasonal Release Upgrade Windows

Salesforce upgrades sandbox environments approximately 4–6 weeks before the corresponding production upgrade. The production upgrade rolls out in three weekend waves. Teams must:

  1. Block deployments during the sandbox preview window unless they have been explicitly tested against the preview release.
  2. Treat the 7-day period immediately before each production upgrade wave as a soft freeze for anything other than emergency changes.
  3. Account for sandbox-to-production behavior drift: a deployment that passes in a pre-upgrade sandbox may fail or behave differently in a post-upgrade production org.

The Salesforce Trust calendar (trust.salesforce.com) publishes upgrade dates. The CAB change calendar must incorporate these dates.

High-Risk Metadata Types

Certain metadata types carry inherently higher risk and must always route through a normal (or emergency) CAB, never be pre-authorized as standard changes:

Metadata TypeRisk Reason
Profile / PermissionSetCan grant or revoke access at scale instantly
SharingRules / OWDChanges visibility of records org-wide
Flow / ProcessBuilderCan trigger automation loops or mass DML
NamedCredential / RemoteSiteSettingOpens or closes external network access
Connected App OAuth scopesChanges what external systems can access
ValidationRule (on critical objects)Can silently block data entry for users
CustomMetadata / CustomSettingCan alter behavior of Apex and automations globally

What the Board Is Actually Approving: a Package Plus Its Deploy Options

A CAB that approves "the change" has approved a range of behaviours. The same package deployed with different DeployOptions is a different deployment, so the decision record pins them. What the Metadata API Developer Guide states about each:

OptionWhat the guide saysConsequence for the decision
checkOnlytrue performs "a test deployment (validation) of components without saving the components in the target org" (L3095–3099)The validation is the evidence, not the change. Record its id, its target org and its date
testLevelEnum: NoTestRun, RunSpecifiedTests, RunRelevantTests (beta), RunLocalTests, RunAllTestsInOrg. NoTestRun "applies only to deployments to development environments". RunLocalTests "is the default for production deployments that include Apex classes or triggers" (L4280–4329)NoTestRun on a production window is an error, not a shortcut
rollbackOnError"This parameter must be set to true if you're deploying to a production org" (L4255–4260)With it false the deploy can land as SucceededPartial (L7451) — a half-applied package nobody reviewed
ignoreWarningsDefaults to false; "Don't set this argument to true for deployments to production organizations" (L7390–7392)With it true, warnings are reported as successes and the deploy log stops being evidence
runTests"A list of Apex tests to run… To use this option, set testLevel to RunSpecifiedTests" (L3132–3135)A runTests list under any other test level is silently inert

The quick-deploy window is 10 days and is bound to one org. A validated component set can be deployed without re-running Apex tests only when "the components have been validated successfully for the target environment within the last 10 days", the target org's Apex tests passed, and coverage requirements are met (api_meta.txt L4863–4869). A validation against UAT is not an approval input for a production deploy, and an approval that predates the window by more than ten days has expired. See references/gotchas.md Gotcha 6.

Deployment windows and service upgrades. The guide's own guidance is to "avoid running deployments during the service upgrade", because a file-based deployment interrupted by downtime has "both component deployment and validation… retried from the beginning after the service is restored" — and it names Salesforce Trust as where to check whether your instance is due (api_meta.txt L2115–2125). That is the platform basis for the freeze register; the instance-specific dates and the Release Updates posture come from admin/salesforce-release-preparation.

The CAB Decision Record

The board's output is one YAML file per decision, committed beside the release manifest so the approval and the package it approved are versioned together. Its shape, filled in for a real release, is references/worked-examples.md §3; scripts/check_change_advisory_board_process.py lints it. The blocks it must carry:

BlockHoldsChecked by the linter
classification / decisionThe tier and the outcome, from fixed enumsValue is in the enum
board[]One row per member with a vote, not attendanceQuorum met for the tier; charter's required_roles among the voters; no unresolved veto under an approval
risk + blast_radiusLevel, rationale, and an imported blast radius citing the analysis that produced itLevel in enum; rationale non-empty; blast radius names a source and at least one metadata type
test_evidence[]UAT pack, validation result, RACI, run sheet — each by pathEvery path resolves to a real file under --manifest-dir
rollbackPinned previous package, owner, RTO, manual stepsMethod and owner present; rehearsed: true required at risk.level: high
deploy_window + freezes[]Target org, window, deploy options, quick-deploy fields, freeze rangesWindow does not overlap a freeze; options and quick-deploy validity as above
post_implementation_reviewDate and ownerMandatory for emergency; warned for normal

The record lives outside the org. Salesforce ships no CAB feature, no change-record standard object and no way for the org to gate its own deployment pipeline — which is why the enforcement point is the pipeline and the evidence point is this file.


Common Patterns

Pattern 1: ITSM-Gated Pipeline Deploy

When to use: When the organization uses a CI/CD pipeline (GitHub Actions, Copado, Gearset) and wants CAB approval to be a hard gate before production deploys are allowed.

How it works:

  1. Developer or admin raises a change request in the ITSM tool (e.g., ServiceNow), providing metadata scope, risk classification, rollback plan, and test evidence.
  2. The ITSM tool routes the ticket to the appropriate CAB queue based on the change tier.
  3. CAB approvers review asynchronously or in a scheduled meeting and set the change request status to Approved.
  4. The deployment pipeline checks the ITSM API for the approved change request number before allowing the production deploy step. If the ticket is not in Approved state, the pipeline fails-fast with a descriptive error.
  5. Post-deployment, the pipeline updates the change request status to Implemented and attaches a deployment log.

Why not the alternative: Relying on informal email or Slack approvals creates no audit trail, fails compliance audits, and has no enforcement mechanism to prevent unauthorized deployments.

Pattern 2: Change Classification Matrix Gating in Pull Requests

When to use: When the organization wants to shift change classification left — identifying the CAB tier at the point of code review, not at deployment time.

How it works:

  1. A pull request template includes a mandatory "Change Classification" field (Standard / Normal / Emergency).
  2. A lightweight PR check script inspects which metadata types appear in the diff and flags if the declared classification is inconsistent (e.g., a Profile change declared as Standard).
  3. For Normal changes, PR approval requires a named security or platform architect reviewer in addition to the peer reviewer.
  4. The merged PR creates a linked ITSM change request automatically via webhook.

Why not the alternative: Leaving classification to deployment time means the CAB review happens after development is complete, creating pressure to approve without adequate review time.


Decision Guidance

SituationRecommended ApproachReason
Org change involves Profile or PermissionSet editsNormal change — full CAB requiredAccess control changes are irreversible at scale and have immediate security impact
Routine report/dashboard update, no data access changeStandard change — use pre-approved runbookLow risk, high frequency; CAB overhead is disproportionate
Production system down, Flow causing data corruptionEmergency change — ECAB with 2–3 approversSpeed required; document and post-review within 5 business days
Deployment lands in Salesforce seasonal upgrade preview windowFlag for extended testing; treat as Normal minimumSandbox-to-production platform drift risk is elevated
Regulated industry org (GovCloud / HIPAA)Add Significant Change Notification to Salesforce Trust as additional stepRegulatory obligation; failure to notify can trigger compliance findings
Integration endpoint or Named Credential changeNormal change — require security team approvalExternal network access changes need security sign-off

Recommended Workflow

  1. Write or re-read the charter first. references/worked-examples.md §1 is a filled-in cab-charter.yaml. Fix quorum per tier, required_roles per tier, veto scope, and the exception_approver for a freeze. Everything downstream reads these; a decision record cannot be linted against a charter that does not exist.
  2. Build the classification matrix from the package's metadata types, not from intent. Enumerate the types with sf project generate manifest or from the PR diff, then apply references/worked-examples.md §2. Highest tier wins for the whole package. Record why ValidationRule and SharingRules outrank ListView — the risk signal, not the folder name.
  3. Import the blast radius; do not estimate it in the meeting. Run /analyze-field-impact (agents/field-impact-analyzer/AGENT.md) or the equivalent and cite its report path in blast_radius.source. Pull the rollback shape from devops/rollback-and-hotfix-strategy and the pre-deploy evidence set from devops/pre-deployment-checklist.
  4. Fill in the decision record. Copy references/worked-examples.md §3. Pin the deploy options and, if quick-deploying, all three quick-deploy fields. Attach the four practice artefacts as test_evidence: the UAT pack (admin/uat-and-acceptance-criteria), the validation result, the RACI (admin/stakeholder-raci-for-sf-projects) and the release run sheet (admin/salesforce-release-preparation).
  5. Lint it before the meeting, not after. Run python3 scripts/check_change_advisory_board_process.py --manifest-dir <artefacts>. It exits 1 on: an enum violation, quorum or a required role missing, an empty risk or blast-radius block, a rollback with no owner (or unrehearsed at high risk), an evidence path that does not resolve, a window overlapping a freeze, an invalid testLevel or rollbackOnError: false on production, an expired or wrong-org quick deploy, and an emergency record with no retrospective date. Every failure is something the board would otherwise discover afterwards.
  6. Deploy inside the window and capture platform-side evidence. sf project deploy report gives createdByName and whether tests ran; a SetupAuditTrail query over the window (references/worked-examples.md §5) surfaces Setup activity that was not in the approved package. Both belong on the CR.
  7. Hold the post-implementation review and feed it back into the charter. Use references/worked-examples.md §7. Close each condition by id, record what the blast-radius estimate got wrong, and report the emergency:normal ratio. A charter that never changes after a PIR is a charter nobody is reading.

Review Checklist

Run through these before marking work in this area complete:

  • Every metadata type in the deployment has been classified against the risk matrix
  • Change request exists in the ITSM tool with all required fields completed (scope, rollback plan, test evidence)
  • Required approvals have been obtained and are documented in the change ticket
  • Deployment window is clear of Salesforce seasonal upgrade waves (check trust.salesforce.com)
  • Rollback procedure is documented and has been tested (or the rollback steps are explicitly understood)
  • Post-deployment validation plan is defined (smoke tests, data integrity check, user acceptance)
  • For Emergency changes: post-implementation review is scheduled within 5 business days

Salesforce-Specific Gotchas

Non-obvious platform behaviors that cause real production problems:

  1. Sandbox Preview Behavior Drift — When Salesforce rolls out the seasonal preview to sandboxes (approximately 4–6 weeks before production), the sandbox may exhibit new platform behaviors (API changes, validation differences, Flow engine updates) that do not yet exist in production. A deployment passing in the preview sandbox can fail or behave differently in the still-on-old-release production org. The CAB change calendar must treat this window as elevated-risk and require explicit sign-off acknowledging the drift.

  2. Permission Set Deployment Does Not Revoke — Deploying a Permission Set via the Metadata API or Salesforce CLI adds or updates permission entries but does not remove permissions that were manually added in the target org after the last source-tracked state. An LLM or practitioner assuming "deploy from source" produces an exact replica is wrong. The CAB process for access control changes must include a post-deployment audit step comparing expected vs. actual effective permissions.

  3. Profile Metadata Is Full-Replace on Some Attributes — When a Profile is deployed, certain sections (e.g., field-level security, object permissions) behave as full replacements for the attributes present in the deployed XML — but the XML itself may not capture all attributes if the project was not retrieved with the full Profile. This can silently revoke permissions that were not included in the retrieved file. Any CAB involving Profile changes must require a full Profile retrieval before classification and a post-deploy permission audit.

  4. Approval Processes Are Not CAB Enforcement — Salesforce Approval Processes govern individual record state transitions (e.g., Opportunity discount approval). They have no awareness of the deployment pipeline, no concept of a change ticket, and cannot gate metadata deployments. Configuring an Approval Process as the CAB mechanism is an anti-pattern that creates a false sense of governance while leaving the deployment pipeline completely ungated.

  5. Regulatory Significant Change Notification (GovCloud / HIPAA) — Orgs operating under GovCloud or HIPAA arrangements with Salesforce have a contractual obligation to notify the Salesforce Trust team of Significant Changes (e.g., major integration changes, architectural shifts) with advance notice defined in the agreement. This is a step the internal CAB process must trigger — missing it is a compliance violation, not just an operational oversight.


Output Artifacts

ArtifactDescription
Change Classification MatrixTable mapping Salesforce metadata types to CAB tier (Standard / Normal / Emergency) with rationale
Approval Workflow DefinitionNamed approver roles, minimum sign-off count per tier, escalation path
Deployment Freeze CalendarRolling calendar with Salesforce upgrade windows, internal freeze periods, and available deployment slots
ECAB Process DocumentEmergency change criteria, ECAB quorum membership, expedited approval steps, post-review requirement
ITSM Integration SpecificationAPI gate configuration connecting the deployment pipeline to the ITSM change request status

Reference Files

FileRead it when
references/worked-examples.mdWriting anything. Holds the Acme case-intake release end to end — the charter, the classification matrix, the filled-in decision record, the package and destructive manifests, the deploy-options table with its grounding, the emergency record, and the post-implementation review
references/gotchas.mdBefore approving, and when a board decision is challenged afterwards. Eleven platform behaviours that turn a well-run meeting into an unenforced approval
references/examples.mdChoosing an enforcement mechanism. Three scenarios — PR-time classification, an ECAB flow deployment, and a freeze-register collision — with the gate scripts and the register file
references/llm-anti-patterns.mdReviewing AI-generated CAB guidance, especially anything that proposes a Salesforce Approval Process or a Deployment_Request__c object as the gate
references/well-architected.mdJustifying the process weight to a sponsor: pillar mapping, the three tradeoffs, and the full source list with the claim each one supports
scripts/check_change_advisory_board_process.pyEvery time a decision record changes. --manifest-dir <dir>, or --file <record>; --charter to point at a charter outside the scanned tree
templates/change-advisory-board-process-template.mdStarting from blank: the section skeleton for the charter, matrix, approval workflow, freeze calendar and ITSM gate spec

Related Skills

  • admin/deployment-risk-assessment — Use before classifying a change to assess blast radius, rollback complexity, and data impact of the planned deployment
  • admin/devops-process-documentation — Use to document the end-to-end deployment and release process that the CAB process governs
  • admin/change-management-and-training — Use when the CAB process change itself requires stakeholder communication and adoption planning
  • devops/pre-deployment-checklist — Use to execute the technical pre-flight checks that feed evidence into the CAB change ticket
  • devops/release-management — Use for the broader release planning context within which individual CAB-approved changes are scheduled
  • devops/deployment-monitoring — Use post-deployment to generate the evidence artifacts required by the CAB post-implementation review
  • admin/change-management-and-deployment — Use to execute the deployment the CAB approved: manifests, deploy order, and the CLI mechanics this skill only gates
  • admin/salesforce-release-preparation — Use to build the freeze register's inputs: instance upgrade dates, Release Updates posture for the cycle, and the Sandbox Preview opt-in decision
  • admin/stakeholder-raci-for-sf-projects — Use to produce the RACI cited as test_evidence on the decision record; it names the accountable party the board otherwise assumes
  • admin/uat-and-acceptance-criteria — Use to produce the UAT pack cited as test_evidence; the board reviews its sign-off rather than re-testing
  • admin/sandbox-strategy — Use to check that the rollback rehearsal has an environment to run in and that its refresh floor fits inside the release cadence
  • devops/rollback-and-hotfix-strategy — Use to design the rollback the decision record pins, including the manual Setup steps no package can carry
  • devops/post-deployment-validation — Use to define the checks whose results close the post-implementation review

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