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AI AGENT | Agents connected to your systems

Give AI Agents the controlled access they need to do real work—not only answer questions

AgentTech connects AI Agents to custom systems, apps, CRM, LINE, email, documents, and internal data. Agents can search approved sources, call tools, and create records while people retain control over pricing, payments, sensitive replies, and final decisions.

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Separate the layers

A chatbot, a packaged AI platform, and an Agent on your system are different jobs

AgentTech does the third: connect the Agent to your data, permissions, and tools, instead of buying another platform that forces the team to change how it works.

DecisionChatbotPackaged AI platformAgent on the existing system
What it can doAnswer FAQs in a conversation. Data usually stays in the chat log.Use the vendor’s workflow and fields in exchange for ready-made modules.Read approved data, call existing APIs, and write results back to the system.
Best whenQuestions repeat, answers are stable, and nothing needs to be written to orders or members.The team will adopt the vendor’s way of working to get packaged modules.Master data already lives in your system; you need controlled classification, drafts, records, or movement.
The riskNo audit trail, and no connection to permissions or status.Rules are locked to the platform; LINE and a custom backend in Taiwan often need another workaround.Without human approval and exception handling, automation writes mistakes into master data.

Common workflow scenarios

Start with the work that takes the most time or is easiest to miss

You do not need to choose an AI model first. Show us where the data comes from, how the work is handled today, and which step consumes the most time.

FLOW 01

Connect website inquiries to the sales workflow

Today

Website forms, LINE, and email are handled separately. Sales staff classify requests and copy data manually, and valuable inquiries may be missed.

  1. Website inquiry
  2. Classify need
  3. Create CRM record
  4. Notify sales
  5. Human reply

With automation

Contact details and needs are organized, a customer record is created, and the owner is notified. Sales reviews the context before sending the official reply.

TrackFirst-response timeMissed inquiriesQualified lead rate
FLOW 02

Find approved knowledge before drafting a service reply

Today

Service teams repeatedly search documents, past records, and FAQs, so response time and wording vary from person to person.

  1. Customer question
  2. Knowledge search
  3. Reply draft
  4. Human review

With automation

The system finds answers and references from approved sources, then drafts a response. A person reviews tone, commitments, and exceptions before sending.

TrackHandling timeDraft acceptanceHuman escalation rate
FLOW 03

Create records from email and documents

Today

Orders, applications, and attachments arrive in different formats. Staff copy each field into the backend, creating errors, omissions, and duplicates.

  1. Email / document
  2. Extract fields
  3. Validate rules
  4. Create record
  5. Route exceptions

With automation

Required fields are extracted and checked against business rules before data is written. Missing, duplicate, or invalid items are routed to a person.

TrackTime per recordField error rateException rate
FLOW 04

Turn meetings into confirmed next steps

Today

Notes, owners, and deadlines are organized after the meeting, leaving tasks scattered across messages, notes, and different tools.

  1. Meeting notes
  2. Summarize
  3. Create tasks
  4. Owner confirms
  5. Send reminders

With automation

The meeting becomes a summary and task list, and tasks are created using existing rules. Owners confirm details and deadlines before notifications go out.

TrackAdmin timeTask confirmationMissed action items
FLOW 05

Move from CRM requirements to quotes and follow-up

Today

Sales staff reorganize conversations and CRM data, find the right package, prepare a quote, and remember to follow up for every opportunity.

  1. CRM requirements
  2. Quote draft
  3. Manager approval
  4. Send
  5. Follow-up reminder

With automation

A draft is created from customer data and approved packages. A manager confirms pricing and commitments before sending, and reminders follow the opportunity status.

TrackQuote preparation timeManual edit rateOverdue follow-ups

Further reading

Read the scope, permissions, and integration questions first

From chatbots versus Agents to access, system connections, exceptions, and the split with apps, these articles unpack what to decide before a live workflow.

AI Agent system integrationCustom systems and digital platforms

How Is an AI Agent Different from a Chatbot?

Read article
AI Agent system integrationCustom systems and digital platforms

What May an AI Agent Read and Do? Write Access and Approval First

Read article
AI Agent system integrationCustom systems and digital platforms

Connect an AI Agent to CRM, LINE, and Internal Tools—Not Another Chat Window

Read article
View all technical insights

Integrated into the core product

Build AI Agents around real data, permissions, and tasks

AI Agents work with the systems and data your team already uses instead of becoming another disconnected chat tool. Every action keeps its access boundary, status, and traceable history.

01

Custom system agents

SYSTEM AGENT

Query members, orders, inventory, or operating data, create records, and advance existing workflows within approved access.

02

Intelligent app features

APP INTELLIGENCE

Add semantic search, content understanding, guided actions, and personalization to apps and existing member data.

03

Knowledge and documents

KNOWLEDGE AGENT

Find evidence in approved documents and databases, then summarize, compare, classify, or prepare a draft.

04

Cross-system operations

OPERATIONS AGENT

Move data, create tasks, and track exceptions across CRM, email, LINE, forms, and internal tools.

Clear responsibilities

AI increases processing speed; people retain judgment and accountability

The scope of automation is defined during planning so AI does not make important commitments without approval.

Good work for AI assistance

  • Classification and field extraction
  • Knowledge search and summaries
  • Drafting and formatting
  • Reminders and data movement

People still confirm

  • Pricing, payments, and commitments
  • Sensitive or exceptional replies
  • Data corrections and access approval
  • Final decisions and official sending

Launch and operational safeguards

Automation must be manageable, not merely runnable

AgentTech handles the technical controls beneath the workflow. Your team sees who can use it, how exceptions are handled, and whether the outcome is worth continuing.

Confirm before launch

  • Data and access

    Define what data can be read or written and what each role is allowed to do.

  • Operation logs

    Record inputs, outputs, human edits, and run status so issues can be traced.

  • Exception alerts

    Notify an owner when data is missing, confidence is low, or the workflow fails.

  • Retry and recovery

    Define safe retries, human takeover, and recovery paths where needed.

  • Service and cost boundaries

    Confirm data use, limits, and costs for models, cloud services, and third-party tools before adoption.

Adoption approach

Validate one workflow before expanding

Begin where people can review the output, the data already exists, and results are measurable to reduce the risk of changing too much at once.

  1. 01

    Map the current workflow

    Identify sources, manual steps, errors, and the outcome to improve.

  2. 02

    Choose one pilot

    Select a frequent, repetitive workflow whose output can be reviewed.

  3. 03

    Launch with a small scope

    Connect systems and define access, review, exceptions, and recovery.

  4. 04

    Measure and expand

    Review success, quality, time, and cost before adjusting or extending.

Start with one workflow

Tell us which repetitive task you want to improve first

Share the system, app, LINE, email, documents, or third-party tools involved and how people handle the work today. We will assess an Agent, rules-based automation, or a combination of both.

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