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Applied AI · Customer Service

The customer who messaged you on Sunday doesn't show up in any report.

They sent a message at 9 p.m., waited, and by Monday morning they'd already bought from someone else. Your business didn't lose that sale. As far as it knows, that sale never existed.

Let's Look at This Process How We Think
Illustration of a customer service conversation next to the flow that decides the reply
An illustration of the kind of screen we build. Names and numbers are fictional.

The problem

The math almost nobody does

Count how many messages come in after hours in a normal week. Multiply by 52. Then multiply by the share you usually close and by your average sale. The number you get isn't in any spreadsheet, because customers who give up don't complain. They just disappear.

Sound familiar?

  • While one person is being helped, three conversations pile up in the queue
  • Someone asks for a price, goes quiet, and no one ever follows up
  • On weekends and holidays, messages sit and age until someone opens them
  • Every channel has a different conversation and no one knows what was agreed where
  • The person answering messages is the same person doing the work, so one of the two always stops

What changes

What your customer service starts doing

  • Replies in minutes, on every channel where customers already talk to you
  • Checks real data before confirming availability, price or timing
  • Brings in a person when the topic calls for it, and that person steps in knowing what's already been said
  • Logs every conversation, including the ones that didn't close

What's included

What we set up

  • An Agent Trained on Your Business

    Your tone, your rules and your data. Not a bot with canned replies.

  • Real-Time Lookups

    Inventory, catalog and calendar checked on the spot, instead of copied into the agent.

  • Handoff to a Person

    When the conversation calls for it, with the full history attached.

  • CRM Logging

    Who reached out, what they asked for and what happened next.

  • Follow-Up for Drop-Offs

    One well-timed reminder for people who stopped halfway.

How we think

A fast answer is worthless if it's wrong

The customer service we build answers from what your business publishes and records. What isn't recorded, it won't claim, and it hands the conversation to a person instead of inventing a deadline, a policy or availability.

Items, prices and quantities aren't stored inside the agent. They're looked up in the system when the question comes in, because two sources of the same truth eventually disagree.

The path of a message

  1. Message Arrives

    WhatsApp, Instagram or your website.

  2. Understanding

    What the topic is and what the person wants.

  3. Lookup

    Your real business data.

  4. Reply

    Or a handoff to a person.

  5. Follow-Up

    The conversation is logged and anyone who stopped halfway gets a reminder.

Tools we've already worked with on this kind of project. The choice comes after the problem.

  • WhatsApp
  • Instagram (DMs)
  • Chatwoot
  • Claude (Anthropic)
  • Notion
  • Telegram

Where we've put this to work

Real work, with each project's stage out in the open.

Client projects and our own technology. The label tells you which is which.

In testing

Virtual fashion consultant

An agent connected to a store's real inventory that checks availability before answering and notes the customer's name for the team. Currently in testing.

Read in Portuguese In-house technology

Instagram lead qualification

An automated conversation that qualifies people who ask for an assessment in DMs and moves qualified leads to WhatsApp.

Learn more

When it makes sense

Not every problem calls for this solution.

Telling you when it doesn't fit is part of the job. Sometimes the right answer is something else, and sometimes it's leaving things as they are.

It makes sense when

  • More messages come in than your team can answer in the time customers expect
  • Many of the questions repeat
  • There's organized information for the AI to check, like a catalog, inventory or policies
  • Messages arrive after hours and go unanswered until someone opens them

It doesn't make sense when

  • Message volume is small and one person handles it well
  • Every inquiry needs an individual technical assessment
  • Prices, timelines and policies aren't defined anywhere yet. In that case, getting organized comes first

Frequently asked questions

Will customers notice they're talking to a machine?

The goal isn't to hide it, it's to serve them well. The agent guides the conversation naturally, in your business's voice, with no generic canned replies. When the topic needs a person, it brings one in.

Does this replace my customer service team?

No. Your team stops spending the day on repeat questions and focuses on the people who really need a human. Small teams usually feel it as breathing room, not as a cut.

Do I need to learn a new tool?

No. We build it, set it up and hand it over working, with the conversation history in a place your team can already use.

Does it work on WhatsApp?

Yes. The right channel depends on where your customers already talk to you.

Keep exploring

Technology and intelligence

Online presence

Let's talk

How many messages did your business answer late this week?

Tell us how your customer service works today. We'll see whether the problem is volume, timing or information.

Let's Look at This Process

Prefer email? dreamharboragency@gmail.com