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Custom AI Assistants: A Buyer's Guide
What separates a real custom AI assistant from a thin chatbot wrapper — grounding, security, integrations, and adoption.
ClovaiJune 24, 20261 min read
Beyond the chatbot wrapper
Plenty of tools slap a chat box on top of a public model and call it an assistant. A genuinely useful custom AI assistant is grounded in your data, respects your access rules, and acts inside your systems.
What to look for
- Grounding & citations — answers tied to your documents, with sources
- Role-based access — people only see what they are allowed to see
- Integrations — the assistant can read and write in your real tools
- Observability — you can see what it did and why
The adoption test
The best assistant is the one your team actually uses. Design for the daily workflow, keep responses fast, and make the assistant feel like a teammate rather than a search box.
Where to start
Pick one team, one knowledge base, and one painful question they ask every day. Nail that, then expand.
Curious what this looks like for your org? Request a demo.
Put these ideas to work
Tell us your goals and we'll show you where AI creates measurable value.
Start your project