Preparing for Your First Client Deployment
When deploying Vyvern to a client organization for the first time, we recommend starting with a controlled and limited rollout.
This allows both the MSP and Vyvern to:
Validate organizational targeting
Confirm employee information is accurate
Ensure workflows are behaving as expected
Establish safe approval and deployment practices
A slower initial rollout typically leads to better long-term workflow quality and safer automation.
Start With Limited Employee Information
For initial testing, we recommend providing employees with as little information as possible regarding workflow activity.
This creates a more realistic testing environment and helps establish an accurate baseline for:
Employee behavior
Security awareness
Response patterns
Organizational risk exposure
Over-briefing employees before testing may unintentionally influence results.
Add Employees Before Workflow Generation
Employee information should be added before workflows are generated.
This helps ensure:
Correct target validation
Accurate workflow generation
Reduced risk of invalid targeting
Better organizational verification
While Vyvern’s AI can independently gather organizational context, employee submission acts as an important safety and validation mechanism.
Review Initial Workflow Proposals Carefully
For newly onboarded organizations, Vyvern manually reviews initial workflows before approval.
This helps verify:
The AI understands the organization correctly
Proposed targets align with expectations
Workflow behavior is safe and appropriate
Platform restrictions are functioning correctly
MSPs should also review early workflow proposals closely before enabling large-scale automation.
Begin With Conservative Autopilot Settings
If using Autopilot, we recommend starting with:
Lower auto-approval priority thresholds
Limited workflow categories
Compliance review enabled
Many MSPs gradually expand automation as they gain confidence in workflow quality and organizational understanding.
Use Demo Environments for Initial Evaluation
Demo environments are intended to help MSPs:
Explore the platform
Demonstrate functionality to clients
Validate onboarding workflows
Understand proposal generation and workflow planning
Some functionality is intentionally restricted in demo environments to:
Prevent abuse
Limit unnecessary AI costs
Restrict expensive workflow operations
Remove production billing and compliance functionality
Recommended Initial Rollout Process
A common onboarding process includes:
Creating the organization
Adding employees and teams
Reviewing initial AI proposals
Testing limited workflows
Configuring branding and organization settings
Gradually enabling Autopilot and automation features
Long-Term Deployment Recommendations
After initial onboarding:
Expand workflow categories gradually
Monitor proposal quality regularly
Reuse validated personas where appropriate
Continue refining Autopilot approval settings
Use follow-up awareness training to improve employee outcomes over time