Use case

Order and lead triage with AI

Requests arrive by email, WhatsApp, web forms and marketplaces. The AI reads each one, classifies it by type and urgency, and sends it to the right person or queue, with a summary.

The scenario

How it works today, without automation.

Orders, quotes, complaints and résumés arrive mixed together in the same inbox and the same WhatsApp. Someone has to read everything, decide who it goes to and forward it by hand. When that person is out, the queue stops.

  1. 01A good lead waits hours because it got buried among unimportant messages.
  2. 02The same request is answered by two people, or by nobody.
  3. 03There is no record of how many requests came in or how long they took.
  4. 04Sales reps receive the contact without context and have to ask everything again.
How it works with AI

The flow, step by step.

  1. 01

    Request arrives

    Email, WhatsApp, website form or marketplace.

  2. 02

    AI classifies

    Type (order, quote, support, complaint), urgency and lead potential.

  3. 03

    Fills in the data

    Looks up the customer in the CRM and attaches history and company data.

  4. 04

    Sends to the right person

    Creates the record in the CRM or system and notifies the owner.

  5. 05

    Tracks the deadline

    If nobody replies within the agreed time, the manager is alerted.

Sample proposal

What would be delivered.

Deliverables

  • Automatic classification by type, urgency and potential.
  • Routing rules by region, product or team.
  • CRM record created with a summary and the customer's history.
  • Deadline alerts and a dashboard of volume and response time.
// connected systems
  • Email
  • WhatsApp
  • Website forms
  • Marketplaces
  • CRM
  • Slack or Teams

Stages

  1. Discovery

    Input channels, request types and routing rules.

    2 to 3 days
  2. Classification and integrations

    Connecting the channels, classification model and CRM handoff.

    2 to 3 weeks
  3. Testing with real requests

    We compare the AI's classification with the team's and adjust.

    1 week
  4. Go-live and tuning

    Production launch and monitoring of the first days.

    1 week
Typical timeline
3 to 5 weeks

The final timeline is set in the proposal, after discovery.

Related real project

At Divina Argila, orders from TikTok Shop and Mercado Livre now land in Trello on their own, where the factory team builds and ships them.

“Now our team no longer has to copy and paste the same order into several places. The factory already knows what to produce as soon as the order is issued.”

— Divina Argila, Agência Byte client
Frequently asked questions

Questions about this use case.

How does the AI know who to send it to?

Through the rules your company already uses, such as region, product, customer size or rep portfolio. The AI classifies and the rules route.

What if the classification is wrong?

The person who receives it can reclassify it in one click. These corrections are used to improve the classification.

Do I need a CRM?

It helps, but it isn't required. Routing can go to email, Slack, Teams or a spreadsheet, and the CRM can come later.

Can leads most likely to close be prioritized?

Yes. The AI can score each lead based on the criteria your sales team uses, and the best ones go first.

Want to see how it would work in your company?

You explain the problem. We build the solution. A straight answer, no generic proposal.