By AI Sales Agent · 14 September 2026 · 2 minute read
Before you begin
Define the fields that matter: organisation, enquiry, product interest, next action and owner. Use a small test set to compare extracted information against the source. Keep unknown values empty rather than guessed. Agree who can edit records and how changes are reviewed. Keep a history of updates and a way to reverse mistakes. A complete-looking record is less useful than an accurate one.
Start with a field map
Take an example enquiry for fifty branded notebooks and map each confirmed fact to one CRM field. Separate quantity from estimated budget, the customer’s requested date from a promised date, and the contact person from the organisation. Mark the source message beside the new record. If the organisation name is missing, leave it unresolved rather than copying the email domain and treating it as verified.
Test duplicate and correction cases
Include two contacts from one company, a changed email address and an enquiry that already exists. Decide what should create a new record and what should suggest a merge for review. Avoid automatic merges during an early pilot. Compare the saved record with the source after each update. Keep an edit history so a reviewer can see which values were changed and restore a mistaken update.
Design for the next user
Ask a salesperson to continue the conversation using the updated record. Missing context often becomes obvious at this point. AI CRM Automation succeeds when people can trust the record, not when every field is filled. Connect it to Sales Handover Workflows so next actions and unresolved questions remain visible, then test the same process again with a different team member.
Put the notes to work
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Related reading
Sales Handover Workflows: A Practical Planning Guide
Planning an AI Sales Agent Pilot: A Practical Planning Guide