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EAPOT

AI Solutions

Practical AI for everyday business work.

EAPOT builds AI into the systems a company already runs on. The goal is less repetitive work and faster access to information, not a demo.

AI Knowledge Base

Make company knowledge answerable.

Company documents, internal procedures, product documentation, and FAQs become something a colleague can ask a question instead of searching for a file.

What it works with

  • Company documents and handbooks
  • Product and technical documentation
  • Internal procedures and policies
  • Recurring support questions

Where the value is

  • Faster access to information
  • Fewer repeated internal questions
  • Knowledge stays reusable when people move on
  • Answers point back to the source document

AI Customer Service

Faster responses, with a human still in reach.

AI handles the repetitive part of customer contact across your digital channels. Anything it should not decide alone goes to a person.

Channels

  • Website support
  • Mobile app support
  • WeChat and Mini Program support
  • FAQ automation

How we scope it

  • Clear boundaries on what AI may answer
  • Escalation to a human for difficult cases
  • Consistent answers drawn from your own content
  • Review of what customers actually ask

AI Business Assistant

Ask the business a question in plain language.

Instead of waiting for a report, a team can ask for the operational information they need and get a summary they can act on.

Typical questions

  • Status of current orders or projects
  • Summaries across systems and periods
  • Operational figures without a manual export
  • Internal reporting assistance

Where we draw the line

  • AI supports decisions, it does not make them
  • Answers stay traceable to a data source
  • Access follows existing permissions
  • Sensitive data stays inside your systems

AI Workflow

Connect the steps nobody wants to do by hand.

The value of AI in a business usually appears where two systems do not talk to each other and a person copies data between them.

Common connections

  • AI and CRM
  • AI and ERP
  • AI and email
  • AI and WeChat

What it removes

  • Repetitive copying between systems
  • Manual document classification and extraction
  • Slow handovers between teams
  • Processes that only one person understands

Getting started

How AI projects start.

Integration comes last, once the value is proven. That order keeps the cost of a wrong assumption low.

  1. 01

    Identify a workflow

    Start from one real business process, not from a general ambition to use AI.

  2. 02

    Find the data

    Locate the documents, systems, and permissions the workflow depends on.

  3. 03

    Prototype quickly

    Build something usable early, so the value is visible instead of theoretical.

  4. 04

    Validate with users

    Put it in front of the people who do the work today and adjust.

Have a workflow that wastes time?

Describe how it works today and we will tell you whether AI is the right tool for it.

Start a Project