Comparison
AI-native CRM vs. a CRM with an AI add-on.
Many CRMs now offer AI features. The question is whether AI is a separate layer on top or a way into everything the CRM can do. This page explains the difference in general terms.
Side by side
Two ways to add AI to a CRM.
This describes architectures, not specific vendors.
| Topic | CRM with an AI add-on | AI-native CRM (Sigma CRM) |
|---|---|---|
| What AI can do | Often summaries, drafts and suggestions | Every capability is a tool an agent can call |
| Access for outside agents | Varies, often a separate API | MCP server and REST API with the same tools as the UI |
| Permissions for agents | Varies by product | Agents act with the member's rights; API keys reach shared data only |
| Audit | Varies by product | Every write tagged as UI, MCP, agent or observer |
| Model choice | Often fixed by the vendor | Provider and model per observer, bring your own key |
Want to see the difference live?
Why it matters
Agents fail at the edges of their tools.
When AI is an add-on, agents can only do what the add-on exposes. Everything else still needs a person to click. In an AI-native CRM, a new capability is available to people and agents at the same time, so agent work does not stop at the edge of a feature list.
In Sigma CRM this is one registry behind the interface, the MCP server and the built-in agent. See how that works for agentic CRM use cases.
Explore Sigma CRM
Features
Custom fields, a flexible data model, views, workflows and roles.
FeaturesAI & MCP
How AI works in Sigma CRM: agents, observers, Sammy and model choice.
AI & MCPMCP server
All use cases, setup in 3 steps and the tool list for Claude and other MCP clients.
MCP serverDeployment
Run it on your own servers or in our cloud.
DeploymentPricing
Cloud subscription or Enterprise perpetual license.
PricingGuides
MCP servers, Claude, AI sales agents, implementation, migration and cost.
GuidesFrequently asked questions
What is an AI-native CRM?
A CRM built so that AI agents can do everything a person can do in it, with the same tools, permissions and audit trail.
Is a CRM with an AI add-on bad?
No. For summaries and drafts it can be enough. The difference shows when you want agents to do recurring work across the whole CRM.
Can we use our existing AI tools with Sigma CRM?
Yes, if they support MCP or can call a REST API. Claude Code is one example.
Where does Sigma CRM run?
On-premise on your own servers or in our cloud.
See AI-native in practice.
We show you the same task done in the interface, by Sammy and by an MCP client.