The enterprise AI buyer's guide 2027

17 capabilities to evaluate before choosing an enterprise AI platform

If you're evaluating enterprise AI platforms for 2027, you've probably noticed how similar vendor claims sound. Nearly every platform promises seamless integration, robust governance and enterprise-scale performance. Yet those claims reveal little about how easily your teams can build, test and manage agents once the platform is in place.

The Enterprise AI Buyer's Guide 2027 draws on Kore.ai's experience of responding to hundreds of enterprise RFPs and implementations in production. It covers 17 capabilities across four key areas of evaluation, with practical questions and tests to help you verify vendor claims and compare platforms against your requirements.

What you'll get from this guide

• Fitment: Check whether a platform supports your business requirements, existing systems and multi-agent workflows.
• Trust: Know what evidence to request for security, governance, compliance and vendor reliability.
• Pilot & Build: Assess how easily your teams can build and manage agents, investigate failures and control changes.
• Scale: Examine production performance, continuous optimization, infrastructure flexibility and operating costs.

You'll also find a four-stage vendor comparison framework including tests you can run against any platform. Make your 2027 AI platform decisions confident.