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Automation

Signal

0 h → 32 h given back to the team every month

Field
Automation
Result
0 h → 32 h
Related service
Automation & AI agents
Role
Process analysis, automation, AI agent

01.Context

A service company handled its inbound requests, quotes and follow-ups by hand, between the inbox, a spreadsheet and the CRM.

02.The problem

Hours lost every week to retyping, forgotten follow-ups, and errors that ended up in the quotes themselves.

Before

0 h

given back to the team every month

03.The approach

  1. Time the tasks

    One day with the team to list each repetitive task, how often it happens and what it really costs.

  2. Connect the tools

    Every request lands in the CRM directly, complete and without retyping, as soon as it is sent.

  3. An AI agent for triage

    An agent reads incoming emails, sorts them, drafts a quote and hands it to the team for approval.

  4. Automatic follow-ups and tracking

    Follow-ups go out on their own at the right time, and a tracker shows the hours given back each month.

04.Measured result

Before : 0 hAfter : 32 h

given back to the team every month

Before
After
given back every month
32 h
given back to the team over a year
384 h

05.Stack

  • n8n
  • AI agent
  • CRM API
  • Google Workspace
/ Related service · 02.

Automation & AI agents

Hours given back to your team, and fewer data-entry errors.

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