Report
How to compare enterprise AI assistants
Most companies aren’t evaluating one assistant. They’re sorting through several, often without a clear way to compare them.
Based on Gartner® research, 92% of IT leaders are prioritizing two or more assistants, and organizations were using three on average. This report gives teams practical insights for evaluating enterprise AI assistants across six key criteria, from security and governance to capabilities, integrations, and cost.
- The six criteria Gartner recommends for evaluating enterprise AI assistants
- What to look for when reviewing security, governance, integrations, capabilities, and cost
- How to compare assistants when more than one tool is in use
- What considerations matter before these decisions become harder to change
What buyers should keep in mind
Assistants need to work across your entire stack
Buyers need to evaluate assistants across different models, clouds, deployment needs, and geographic requirements, and – critically – how well they work across existing tools without increasing vendor lock-in. Glean gives teams more flexibility across systems, rather than locking them into a single suite.
AI sprawl requires governance
As organizations adopt multiple assistants, governance gets harder. Gartner highlights monitoring, compliance, security integrations, and agent management as key areas to evaluate. Glean brings more visibility, control, and consistency to enterprise AI usage.
Useful assistants depend on trusted knowledge
Gartner’s definition of an enterprise AI assistant starts with search, connectors, tools, and extensibility. Glean connects employees to the right knowledge, context, and actions across the systems they already use.
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