SERVICE

AI Solutions

We connect large language models (LLMs) to real workflows. AI drafts and recommends; a person makes the final call on anything that reaches customers.

HOW IT RUNS

How it runs

Live exampleExample: draft replies to customer inquiries

  1. TriggerInquiry arrivesEmail or web form✓
  2. AIClassifyRefund, delivery, partnership✓
  3. CollectFind sourcesPolicies, manuals, FAQ✓
  4. AIDraft replyWith sources shown✓
  5. Human checkStaff reviewOne-click approve✓
  6. OutputSend and logHistory kept✓

AI drafts the reply; a person checks it before it reaches the customer.

Key features

In-house AI for your workflows

An assistant that knows your processes, templates and terms, connected to your sheets, email, messenger and admin tools. It looks things up, drafts reports and handles routine tasks; important actions run only after staff approval.

AI chatbot on your documents

Answers staff and customer questions from your manuals, policies and FAQs, with the source shown.

Inquiry triage and draft replies

Sorts incoming inquiries by type and drafts replies for staff to review and send.

Summaries and extraction

Summarizes contracts, reports and minutes, and pulls fields from receipts and forms into tables.

Analysis support

Reads changes in sales and ad data and adds likely causes and things to check to your reports.

AI in your service

Adds search, recommendations or summaries to a web or app service you already run.

Design principles

  • Human approval before anything reaches customers
  • Sources shown with answers
  • Sensitive data masked, only what is needed is sent
  • Enterprise APIs that do not train on your data
  • Per-team and per-app AI keys, usage and monthly cost caps
  • Swappable models

Deliverables

  • Use-case selection and proof of concept
  • AI feature build and integration
  • Accuracy checks and operating guide
  • Cost and usage monitoring
  • Improvement and maintenance (optional)

A good fit for

  • Support and operations teams answering the same questions
  • Teams with heavy document review and data entry
  • Startups adding AI to their product
  • Teams that want to try AI but are unsure where

FAQ

FAQ

Which AI models do you use?

We pick from commercial models such as Claude, GPT and Gemini to fit the task, and build so the model can be changed later.

What if the AI is wrong?

Replies and posts that reach customers go through a human approval step. We check accuracy on real data during the proof of concept.

Does our data leave our systems?

We send the model as little as possible and mask sensitive data first. Where Korean privacy law requires notices for processors or transfers abroad, we prepare them with you.

Planning a project?

Even an early idea is fine. We will outline the scope and expected cost.

Contact us