Skip to content
Neural Soft

Use case

Automating incoming emails and requests

We use AI to read, classify, summarise and prepare emails, forms or requests before they reach the team. Fewer overflowing inboxes, less manual copying and faster replies.

  • Classifies messages by type of query, priority, customer or department.
  • Summarises the content and prepares a reply or next action for review.
  • Can connect with email, forms, CRM, spreadsheets or internal tools.
  1. Email

    Automatic reading, summaries and classification

  2. Forms

    Requests organised before they reach the team

  3. Support

    Prioritising and routing incidents

  4. Sales

    Leads summarised and ready for follow-up

  5. CRM

    Information ready to log or update

What it automates

AI can prepare the work before anyone opens the message

Many companies lose time going through shared inboxes, copying information between tools or answering the same questions over and over. AI can take care of the first read and leave the work organised for the team.

  • Email classification

    AI works out what each message is about, summarises it and suggests a category or next step.

  • Information extraction

    It can pick out relevant data: name, company, phone number, subject, amount, date, service requested or pending documents.

  • Assisted replies and actions

    The system can draft replies, create tasks, route requests or leave information ready to be logged.

Examples

Where it makes the biggest difference day to day

This use case works well when lots of similar requests come in and the team spends too much time reading, sorting and drafting replies.

  • A tidier shared inbox

    AI can review incoming messages, detect the reason for contact and leave each request ready for sales, support, admin or operations.

  • Sales follow-up

    Summarises leads, detects buying intent and prepares data for the CRM or a sales reply.

  • Support and incidents

    Classifies incidents, detects urgency and leaves a summary so the team can respond faster.

  • Less repetitive work in daily operations

    An AI workflow can cut the time spent reviewing inboxes, classifying requests and drafting replies, without losing human oversight.

AI does not have to send replies on its own. It can prepare the work and let the team stay in control.

Method

We start with one inbox, one workflow and clear rules

To make the automation useful, we first define which types of message come in, what the AI should do and when a person needs to step in.

  1. Analyse real messages

    We review typical emails, forms or requests to spot patterns, categories and repeated tasks.

  2. Build a controlled pilot

    We set up a first automation to classify, summarise or draft replies with human review.

  3. Measure and connect

    We check whether it saves time and, if it works, connect it to your CRM, Excel, ERP or other internal tools.

Is your team losing time on repetitive emails?

Tell us what kind of messages you receive and how you handle them now. We will help you decide whether it makes sense to automate classification, summaries or draft replies.