No more repetitive lookups
Work that took several open screens is done with one request.
ECHO Orchestrator
Summarize meeting notes, draft reply emails, and organize Excel · PPT · PDF with a single request. It pulls the data you need from Wavegram solutions when you need it, and sends a daily report via WaveWorks Messenger or KakaoTalk when the work is done.
Work that took several open screens is done with one request.
Integrated with Wavegram solutions, AI brings you the data you need the moment you work.
Each result keeps the data AI read and the functions it used.
Sending and changes are controlled to run only after approval.
Delegate repetitive lookups and reports in plain words, then read the results and evidence and approve.
Connect internal system functions for AI use, and review what each AI can do and its execution logs.
Define the work your team delegates and its approval steps, then expand to more work based on result quality and usage.
When a request comes in, AI first decides what to do and in what order.
Calls the function each step needs, from MES lookups and calculations to email checks and predictions, and carries the work through.
If a step fails, it replans and finishes by another path. It never runs the same lookup twice.
Results are compiled into ready-to-use reports and reply drafts, with progress shown in real time.
Uses only permitted functions; critical actions like sending · changing run only after a person approves.
Evaluated on four points: whether it chose the right function, whether the call succeeded, whether anything is missing, and whether the answer is correct.
Screen 1 · MES output, ERP inventory · cost, equipment data, Excel records, analysis report
AI gathers and checks data scattered across systems, and even runs analyses your current systems can't. Candidate causes are compiled with evidence.
Screen 2 · meeting recording, Excel, PPT, PDF, one-page summary
Drop in meeting recordings and Excel · PPT · PDF, and it condenses decisions, figures, and to-dos onto one page. Each to-do comes with an owner and due date.
Screen 3 · received email, reply draft, CRM · ERP evidence, Approve button, sent
AI drafts replies to customer inquiries with supporting evidence. They go out under the owner's name only after the owner approves.
Screen 4 · end of day, today's report, WaveWorks Messenger, KakaoTalk
When the work is done, a daily report on production · quality · delivery results arrives via WaveWorks Messenger or KakaoTalk.
Feed in meeting recordings or notes to get minutes with decisions, to-dos, and owners.
Gathers received emails, CRM consultation history, and ERP shipping schedules to draft a reply, sent after the owner approves.
Reads long, numerous work files, summarizes the essentials, and pulls the figures you need into tables.
When a production manager says "Summarize yesterday's output," it queries MES work orders and output and builds a report on variance from plan and its causes.
Extracts product, quantity, and due date from customer PO emails to create order info and register it as the owner's to-do.
When the work is done, a daily summary of production · quality · delivery results arrives via WaveWorks Messenger or KakaoTalk.
Add products one at a time as needed, and expand like this.
Deployment model
Configuration and cost vary with scope, user count, and installation environment. Tell us your situation and we will recommend the right approach.
Contact salesDesign how AI and tools run to match where systems live: on-premises, cloud, or internal network.
Connects lookup and processing functions of live systems as AI tools.
Exchanges tool inputs and outputs in a standard way and applies usage permissions per task.
Start with the lookups and reports you repeat every day. Gathering and organizing set data, like production reports, inventory checks, and delivery reply drafts, pays off fastest.
No. Sending · registering · changing runs only after the owner approves. Functions that are not permitted cannot be called.
Yes. Choose and connect the AI that fits the job. It also runs only on AI installed on your company servers, with no external AI.
Requests are handled in 3 stages: the Planner plans the request, Execute calls MCP tools and Analyze models at each step, and the Responder compiles the result. Failures trigger replanning, and every call is kept in the audit log.