It is the obvious place and the riskiest one
Your CRM holds the history that makes an AI teammate useful and the records your business runs on. Reading is high value; writing carelessly corrupts the system everyone depends on.
Reading first: context assembly
Pulling together everything known about an account before a call or a reply is immediately valuable and cannot break anything. This is the safest entry point and often the largest single time saving.
Let it read the CRM on day one. Let it write to the CRM once you trust the reading.
Then logging, which nobody does properly
Call notes, email summaries, and activity records are chronically incomplete because they are admin. Automating them improves the data everything else depends on — including any future AI feature reading the same records.
Field updates need constraints
Changing a stage, an owner, or a value should be limited to specific fields, with the rest structurally out of reach. Give it its own account with scoped permissions rather than a person’s login.
Garbage in stays garbage
Duplicate contacts, half-filled records, and stale stages produce confidently wrong context. Cleaning that is a prerequisite, the CRM version of resolving contradictions before indexing.
Watch what it does to reporting
Automated activity logging inflates activity metrics dramatically, which makes historical comparisons meaningless unless you flag automated entries. Otherwise you will conclude the team got busier, and act on it.