Agentic AI #
AI that takes actions on your behalf rather than only answering: creating, updating and moving records. Actions are where trust is lost, which is why this is the half that needs one permission model, one audit log and one rollback path underneath it. Cyril describes fully autonomous agentic mode as coming soon, not shipped.
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Where this is covered properly: Ask Cyril
ai_context serializer #
A deterministic, schema-aware view of a record built for a language model rather than for a database: resolved, related and current, instead of raw rows the model has to decode. Every entity has one, which is what makes a cross-module answer groundable in the same data twice.
Where this is covered properly: Every record explains itself
AI-native #
Built so that the AI layer sits underneath every part of the system rather than beside one of them. The test is not whether a product has AI features but whether a question crossing two areas of the business can be answered in one query. AI added on demos well and narrows to a single silo in real use.
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Where this is covered properly: Why AI-native platforms win
Automation engine #
A no-code trigger, condition and action engine that runs at the graph level, so a rule can join modules directly instead of passing records between products. It is separate from Ask Cyril: automation runs the rules you set, and Ask Cyril plans and acts when someone asks.
Where this is covered properly: Automation