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AZE
Use case

AI Project Management: Have AI Set Up the Project When Sales Hands Over

AI project management that starts at the sale: when a deal is won, the project is created with the scope, dates and client details in it.

Area
OperationsRuns on an AI System
Good for
Small businessMid-size
Example tools
HubSpotGoHighLevelNotionAirtable

The Problem

  • Sales closes the job, then someone in operations types the same client, scope and dates into the project tool.
  • Details get lost between the two, and the first week goes on asking sales what was promised.

Imagine This

A deal is marked won at 4pm. Next morning the project is waiting: client details, the agreed scope, the start date and a first task for the team lead. Nobody retyped anything.

How It Works

Example setup · AI-poweredWhat's the difference?

  1. TriggerA deal is marked won in your CRMe.g. GoHighLevel, HubSpot, Pipedrive
  2. AI stepAI turns the deal notes into a scope and taskse.g. Claude, ChatGPT
  3. ActionThe project is created with the client and datese.g. Notion, Airtable
  4. Back to youYour team lead checks the scope before work startse.g. a task for the team lead
An example, not a package. We build it on the tools you already use, and any of these can be swapped.

What Changes

Operations starts with a project to work from rather than another data-entry task.

The service behind this

This workflow is one part of a bigger system. When we set it up, it comes as part of:

  • Operations

    CRM Implementation Coming soon

    Build a CRM your team can actually run on.

Workflows that go with this one

See every workflow you can hand to AI