ECV Enterprise Assistance

Your knowledge.A more helpful AI.

An enterprise AI assistant that answers from company documents, connects to chat channels, and works through custom workflows.

Open application Explore capabilities

LINE
Messenger
Web
Email
Microsoft Teams

Your knowledge deserves to go further than a document. Put it to work in conversations with your team and customers, wherever they already are.

Turn knowledge into helpful conversations

Bring conversations, documents, workflows, and communication channels into one experience.

Ask a question.Keep work moving.

Create an assistant for customer questions and everyday team conversations. Bring organizational knowledge into the exchange, so people can ask about the work in front of them.

Choose a template and define the bot’s role

An AI assistant exchanging blue and green conversation bubbles — AI Chat

Your documents.Answers that fit.

Turn service guides, product information, and team documents into a Knowledge Base your assistant can draw on. Put the information you already have to work.

OCR with a knowledge review step

An archive folder, knowledge book, and magnifying glass representing organizational knowledge — Knowledge Base

Your process.An AI that fits.

Use custom workflows to define how your assistant works, from receiving a question and finding knowledge to delivering an answer that fits the task.

Manual, Scheduled, Chatbot, and S3 triggers

A branching workflow path through knowledge and AI toward an answer — Workflows

Same assistant.Familiar channels.

Choose the channel that fits your customers and team. Put the assistant where people already work and communicate.

A phone, laptop, and collaboration channel arranged around an AI assistant — Channels & Integrations

Inside the workspace

Follow linked modules to their detailed sections; the remaining modules are introduced here.

Bots

Start from templates, choose an Amazon Bedrock model, and define each bot’s role.

Knowledge Base

Tools

10 built-in tools for creating files, filling documents, web search, reading DynamoDB, and reporting.

MCP Servers

Connect Context7, AWS Knowledge, Datadog, Asana, or your own servers.

Guardrails

Set content policies and deploy across multiple regions to guide AI responses.

Workflows

Analytics

AI Tools

Everyday work, with AI alongside

Five built-in apps for your team, without having to build a bot first.

Translator

Translate text, documents, and images across languages so your team can work with information more easily.

Text · Documents · Images

Summarize

Condense long text or documents into a paragraph or bullet summary in any language.

Paragraphs · Bullet summaries

Sales Role-play Training

Practice your pitch against an AI customer and get scored feedback to improve the next conversation.

Practice · Scored feedback

Presentation Builder

Create slide decks with AI, edit them in your browser, and export to PowerPoint.

Browser editing · Export .pptx

Model Comparison

Send one question to 2–3 models at once. Compare answers, token usage, and response time side by side.

Answers · Tokens · Response time

Message Analytics

Sample data

Conversation sentiment

Positive 62%
Neutral 28%
Negative 10%

Recurring questions

Order status
Shipping
Returns
Promotions
Opening hours

Understand the questions.Understand the sentiment.

Track tokens, conversations, and costs by bot, model, and platform. Message Analytics uses AI to surface sentiment, recurring issues, and frequently asked questions.

Export CSV for further analysis
Set a weekly spending limit and follow usage in Analytics

An AI assistant for every team

These sample conversations illustrate how an assistant can use team knowledge and connected processes. They are not real customer data.

How much flour do we need today?

We need 36 kg. There are 42 kg in stock, so we have enough.

Manufacturing · SME

Factory operations assistant

Check materials, calculate production needs, review quality checks, and plan work through chat with connected team data.

Does this come in other colors?

Yes, black, white, and navy. I’ll share the pictures.

Customer service

A LINE OA assistant for customers

Answer product and order questions, then hand work to your team through a workflow when a person needs to take over.

How many annual leave days do I get?

The sample policy allows 10 days a year — Leave policy.pdf

Internal teams

HR and IT assistant

Find benefits, leave policies, and IT guidance in your company’s Knowledge Base to reduce repeated questions.

Get started in three steps

Configure through the web interface, without writing code.

Create a bot
Choose a template and model, then define your assistant’s role.
Template · Amazon Bedrock
Add knowledge and workflows
Build your Knowledge Base, connect Tools or MCP, and design the process.
Knowledge · Tools · Workflow
Connect your channels
Connect Web, LINE, Messenger, or Email, then follow results in Analytics.
Connect · Chat · Measure

Technical information

Support summary
Intended audience	Customer service, sales, HR, IT, and businesses serving customers on LINE
Channels	LINE, Messenger, Web Widget, Email, and Microsoft Teams
Models	Choose an Amazon Bedrock model per bot
Security and data	Data retention, data export, audit logs, and credential management

Frequently asked questions