Vendor Onboarding

Vendor Onboarding

Skill Profile

(Select at least one profile to enable specific modules)

• DevOps
• Backend
• Frontend
• AI-RAG
• Security Critical

Overview

Enterprise vendor onboarding is the process enterprise customers follow before using your product. It includes discovery/evaluation, security review, legal review, procurement, technical onboarding, and user training. This skill covers understanding timelines, preparing documentation, managing requirements, and accelerating the onboarding process.

Why This Matters

• Sales Acceleration: Proper preparation reduces onboarding time from months to weeks
• Revenue Impact: Faster onboarding means faster revenue recognition
• Customer Satisfaction: Smooth onboarding improves adoption and retention
• Competitive Advantage: Professional onboarding differentiates from competitors

Core Concepts & Rules

1. Core Principles

• Follow established patterns and conventions
• Maintain consistency across codebase
• Document decisions and trade-offs

2. Implementation Guidelines

• Start with the simplest viable solution
• Iterate based on feedback and requirements
• Test thoroughly before deployment

Inputs / Outputs / Contracts

• Inputs:
  • Signed contract (MSA, DPA, SLA)
  • Security questionnaire
  • Technical requirements document
  • Customer contact information
  • Procurement requirements (W-9, insurance, banking)
• Entry Conditions:
  • Standard contracts prepared (MSA, DPA templates)
  • Security documentation ready (SOC2 report, policies)
  • Technical team available for onboarding
  • Customer success team assigned
• Outputs:
  • Completed onboarding project
  • Configured SSO/SCIM
  • Trained users (admins and end users)
  • Integration with customer systems
  • Go-live confirmation
• Artifacts Required (Deliverables):
  • Onboarding project plan
  • SSO configuration guide
  • Admin training materials
  • End user training materials
  • Integration documentation
  • Status reports
• Acceptance Evidence:
  • SSO working with test accounts
  • SCIM provisioning working
  • Users trained and using product
  • Integrations tested and validated
  • Customer sign-off on go-live
• Success Criteria:
  • All onboarding milestones completed on schedule
  • SSO and SCIM working
  • Users trained and adopted
  • Customer satisfaction (CSAT > 8/10)
  • No critical blockers unresolved

Skill Composition

• Depends on: SSO (SAML & OIDC), SCIM Provisioning, Security Questionnaires
• Compatible with: Enterprise RBAC Models, Vendor Management
• Conflicts with: None
• Related Skills: SSO (SAML & OIDC), SCIM Provisioning, Security Questionnaires

Quick Start / Implementation Example

1. Review requirements and constraints
2. Set up development environment
3. Implement core functionality following patterns
4. Write tests for critical paths
5. Run tests and fix issues
6. Document any deviations or decisions

# Example implementation following best practices
def example_function():
    # Your implementation here
    pass

Assumptions / Constraints / Non-goals

• Assumptions:
  • Development environment is properly configured
  • Required dependencies are available
  • Team has basic understanding of domain
• Constraints:
  • Must follow existing codebase conventions
  • Time and resource limitations
  • Compatibility requirements
• Non-goals:
  • This skill does not cover edge cases outside scope
  • Not a replacement for formal training

Compatibility & Prerequisites

• Supported Versions:
  • Python 3.8+
  • Node.js 16+
  • Modern browsers (Chrome, Firefox, Safari, Edge)
• Required AI Tools:
  • Code editor (VS Code recommended)
  • Testing framework appropriate for language
  • Version control (Git)
• Dependencies:
  • Language-specific package manager
  • Build tools
  • Testing libraries
• Environment Setup:
  • .env.example keys: API_KEY, DATABASE_URL (no values)

Test Scenario Matrix (QA Strategy)

Technical Guardrails & Security Threat Model

1. Security & Privacy (Threat Model)

• Top Threats: Injection attacks, authentication bypass, data exposure

• Data Handling: Sanitize all user inputs to prevent Injection attacks. Never log raw PII
• Secrets Management: No hardcoded API keys. Use Env Vars/Secrets Manager
• Authorization: Validate user permissions before state changes

2. Performance & Resources

• Execution Efficiency: Consider time complexity for algorithms
• Memory Management: Use streams/pagination for large data
• Resource Cleanup: Close DB connections/file handlers in finally blocks

3. Architecture & Scalability

• Design Pattern: Follow SOLID principles, use Dependency Injection
• Modularity: Decouple logic from UI/Frameworks

4. Observability & Reliability

• Logging Standards: Structured JSON, include trace IDs request_id
• Metrics: Track error_rate, latency, queue_depth
• Error Handling: Standardized error codes, no bare except
• Observability Artifacts:
  • Log Fields: timestamp, level, message, request_id
  • Metrics: request_count, error_count, response_time
  • Dashboards/Alerts: High Error Rate > 5%

Agent Directives & Error Recovery

(ข้อกำหนดสำหรับ AI Agent ในการคิดและแก้ปัญหาเมื่อเกิดข้อผิดพลาด)

• Thinking Process: Analyze root cause before fixing. Do not brute-force.
• Fallback Strategy: Stop after 3 failed test attempts. Output root cause and ask for human intervention/clarification.
• Self-Review: Check against Guardrails & Anti-patterns before finalizing.
• Output Constraints: Output ONLY the modified code block. Do not explain unless asked.

Definition of Done (DoD) Checklist

• Tests passed + coverage met
• Lint/Typecheck passed
• Logging/Metrics/Trace implemented
• Security checks passed
• Documentation/Changelog updated
• Accessibility/Performance requirements met (if frontend)

Anti-patterns / Pitfalls

• ⛔ Don't: Log PII, catch-all exception, N+1 queries
• ⚠️ Watch out for: Common symptoms and quick fixes
• 💡 Instead: Use proper error handling, pagination, and logging

Reference Links & Examples

• Internal documentation and examples
• Official documentation and best practices
• Community resources and discussions

Versioning & Changelog

• Version: 1.0.0
• Changelog:
  • 2026-02-22: Initial version with complete template structure

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