AI Tool Access Request Workflow

Updated May 13, 2026

What this skill does

Sets up a complete intake-to-approval pipeline for AI tool access requests. Creates a Jira issue type with structured fields, configures automation rules for risk-based tier assignment and reviewer routing, adds Slack notifications for transparency, and includes a security review runbook with decision templates.

Example

PROMPT

Tool: Claude Team Requester: Jane Smith, Backend Engineering Business justification: Accelerate API development and code review Data types: Internal source code (no PII) Seats requested: 12 Estimated cost: $240/month

OUTPUT

[JIRA] AI-ACCESS-47: Claude Team — Backend Engineering (12 seats) Status: IN REVIEW | Tier: 2 (Standard Review) | SLA: 3 business days Auto-assigned reviewers: - Manager: @john.doe (notified via Slack DM) - Security: @security-team (added to #ai-tool-requests queue) Checklist: ✅ Vendor SOC2 compliance verified ✅ Data retention policy reviewed (30-day, no training on data) ⬜ SSO integration confirmed ⬜ Security team sign-off [SLACK] #ai-tool-requests: "New request: Claude Team for Backend Engineering (12 seats, $240/mo) Tier 2 — Standard Review | Due: March 5, 2026 Reviewers: @john.doe @security-team"

Required Tools

Jira

Slack

Compatible Agents

Claude

Cursor

Windsurf

ChatGPT

GitHub Copilot

Any MCP-compatible agent

Add to your agent

Download Skill

Or install via CLI:
$ npx skills add webrix-ai/agent-skills --skill ai-tool-access-request-workflow

Deploy Org-wide

Provision to teams via RBAC

Identity-aware execution

Signed & verified skills

Full audit trail

Auto-bundled with required MCP servers

Use with

Free for up to 5 users

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