Should we score vendors numerically?
A weighted scoring helps structure the decision, but pilot results with your own use cases should carry the most weight.
AI Orchestration Platform · Checklist
Checklist for Evaluating AI Orchestration Platforms
Use these questions in vendor conversations and pilots. Ask for demonstrations with your own data wherever possible.
Security and identity
- Integration with our identity provider and groups
- Attribution of every action to a user or service identity
- Secret management for tool credentials
- Penetration test and certification evidence
Data and residency
- Where are prompts, outputs, indexes and logs stored?
- Can processing be restricted by region and data class?
- Are customer data used to train models?
- How is data deleted on request?
Models
- Which providers and models are supported?
- Can we bring our own or privately hosted models?
- How are routing rules defined and tested?
- What happens during a provider outage?
Operations
- Monitoring, alerting and incident process
- Release process for prompts, agents and workflows
- Rollback of versions
- Support levels and response times
Commercials and exit
- Pricing at our expected production volume
- Contract terms for data and liability
- Export of configurations, prompts and logs
- Migration path if we leave the platform
Frequently asked questions
Who should take part in the evaluation?
Business owners of the pilot use cases, IT architecture, security, data protection, procurement and the team that will operate the platform.