Choosing an AI Automation Platform: Evaluation Framework
A comprehensive framework for evaluating and selecting AI automation platforms for your organization.
TL;DR
Platform selection should consider capabilities, integration requirements, scalability, total cost of ownership, vendor viability, and alignment with your technical strategy. Avoid over-weighting current features versus long-term fit.
Defining Requirements
Start with use cases, not features. Define what you need to accomplish, the scale you need to support, and your integration requirements. Distinguish must-haves from nice-to-haves.
Evaluation Criteria
Key criteria include: AI capabilities, integration options, scalability, security and compliance, ease of use, customization depth, vendor support, and total cost of ownership.
Proof of Concept
Do not rely on demos alone. Run a proof of concept with a representative use case. Involve your technical team. Evaluate the full development and deployment experience.
Making the Decision
Balance current needs with future flexibility. Consider vendor lock-in implications. Align with your broader technology strategy. Get input from all stakeholders before deciding.