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iTeam
Solutions · Sales

Automated sales follow up with AI: no proposal forgotten in the pipeline

The proposal was sent, the customer asked for time, and the opportunity sat in the CRM for a month. Each salesperson follows up in their own way, and anyone with many accounts simply forgets some. The manager only finds out at the forecast review.

Romeo
Solutions

Sales follow-up with AI, step by step

01

Every opportunity with a next step

The agent reviews the pipeline every day and flags opportunities with no activity scheduled or stalled for longer than normal for that stage.

02

A message that restarts the conversation

Based on the history, the meetings and the proposal, the agent writes the right follow-up for that moment, not the generic note that just checks in.

03

Salesperson in control

The salesperson receives the suggestion in Slack or the CRM, adjusts it if they want and approves the send. On smaller accounts, the cadence can run automatically.

04

Signals for the manager

Pulse shows the sales manager where the pipeline is cooling, which deals have lost momentum and who needs help.

What changes

Less repetitive work. More control.

  • Proposals followed until a yes or a no
  • A consistent cadence across salespeople
  • Messages with the context of the previous conversation
  • A forecast with fewer surprises at month-end
Questions

Questions about sales follow-up with AI

Does the AI send follow-ups without my seeing them?

Only if you allow it. The default is for the agent to suggest and the salesperson to approve, and each company decides where automation applies.

How does the agent know what was discussed?

It reads the CRM history, e-mails and the notes of meetings recorded in iTeam's Meet, respecting what each salesperson is allowed to access.

Does it integrate with Pipedrive and HubSpot?

Yes, as well as Salesforce and RD Station CRM. Activities and messages are recorded on the opportunity.

What about the security of customer conversations?

Access follows the CRM permissions, everything is kept in an audit trail and data is handled under data-protection rules such as Brazil's LGPD.

Next step

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