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AI AUTOMATIONAUTOMATION

Automate repetitive work
with AI that fits the job.

We map repeating work and attach AI to the tools, systems, and processes the company already uses — inquiry classification, reply drafts, document summaries, review analysis. Not a demo chatbot, and not the Newon AI product itself: this is a client implementation project. AI products and agents are introduced under Newon AI → Enterprise AI.

AI automation inquiry → See the automation flow ↓

OVERVIEW

You want AI.
Not sure where it should live.

Inquiries, reviews, content, documents, internal Q&A — repeating work already exists. Teams want AI but PoCs often never reach real workflows.

Adding a generic chatbot or tool leaves the process unchanged. People still classify, draft, and summarize by hand. What you need is AI automation designed for your workflow context.

AI AUTOMATION starts by defining repeating work, channels, data, and quality bars. Then we design classify, draft, summarize, and routing flows — with human-in-the-loop review and guardrails — and deliver automation that attaches to real operations.

PROBLEMS

Helpful when you face these situations.

REPEAT REPLIES

People classify and draft the same inquiries and tasks.
Judgment work gets crowded out.

AI POC STALL

You tried an AI PoC but it never reached operations.
No priority for where AI should connect.

TOOL SPRAWL

Tools pile up but the workflow does not change.
Channels, CRM, mail, and sheets stay disconnected.

INCONSISTENT OUTPUT

Answers vary for the same question.
No brand tone, policy, or quality bar.

DOC OVERLOAD

People read and organize long docs, notes, and reviews.
Summarize, classify, and extract work repeats.

NO GUARDRAILS

Hard to send AI output as-is.
No review, permission, or exception structure.

BEFORE / AFTER

Manual repetition vs
human-in-the-loop automation

01

BEFORE

  1. 01

    Requests arrive across channels

  2. 02

    Owners classify and draft by hand

  3. 03

    Answers vary for the same question

  4. 04

    Status is visible only after the fact

02

AFTER

  1. 01

    Requests are classified automatically

  2. 02

    Draft replies and summaries appear first

  3. 03

    Humans handle review and exceptions

  4. 04

    Outcomes are recorded as they happen

CAPABILITIES

We run AI automation build as one structured engagement.

WORK MAPPING

Confirm repeating tasks, channels, data location, quality bars.
Identify where automation creates leverage.

WORKFLOW DESIGN

Design input → process → review → output flows.
Include human review points and exception paths.

CLASSIFY & ROUTE

Classify inquiries, requests, and feedback by topic, priority, owner.
Define routing rules and SLAs.

DRAFT & SUMMARIZE

Implement reply drafts, document summaries, review clustering.
Match brand tone and output format.

INTEGRATIONS

Connect web, app, mail, CRM, sheets, internal tools.
Attach AI to environments you already use.

GUARDRAILS

Add review steps and permission scope that catch bad output.
Design paths for sensitive and exception cases.

PILOT & TUNE

Run pilot with a limited team or channel and tune quality.
Improve prompts, rules, and review bars.

OPS & HANDOFF

Document operating and improvement methods.
Connect expansion and Phase 2 scope.

USE CASES

AI automation we can build.

Example build types

CUSTOMER

INQUIRY CLASSIFY

Classify customer inquiries by topic, urgency, owner.
FAQ matching and routing automation.

CUSTOMER

REPLY DRAFT

Generate draft replies for inquiries, email, chat.
Send after human review.

INSIGHT

REVIEW ANALYSIS

Cluster reviews and feedback by theme.
Surface improvement points and sentiment.

CONTENT

CONTENT DRAFT

Generate notices, help articles, marketing drafts on-tone.
Template and guide based.

OPS

DOCUMENT SUMMARY

Compress long docs and notes for decisions.
Extract key points, actions, risks.

OPS

INTERNAL KNOWLEDGE

Answer from scattered docs with sources.
Search within permission scope.

OPS

OPS AUTOMATION

Data cleanup, alerts, recurring reports.
Linked with classify and summarize.

PRODUCT

PRODUCT AI FEATURE

Add classify, draft, summarize to existing web or app.
Integrated into user and operator workflows.

EXAMPLE WORKFLOW

From work mapping to operational expansion

MAP

Confirm repeating work, channels, data, quality bars.
Set automation opportunities and priority.

  • Work
  • Channels
  • Data

DESIGN

Design classify, draft, summarize, review flows.
Confirm human-in-the-loop points.

  • Flow
  • Review
  • Exceptions

BUILD

Implement AI capabilities and integrations.
Validate quality with sample data.

  • Model
  • Prompt
  • API

PILOT

Run pilot with a limited team or channel.
Adjust output quality and review load.

  • Pilot
  • Tune
  • Review

EXPAND

Expand proven flows to adjacent work.
Connect ops guide and improvement path.

  • Scale
  • Docs
  • Phase 2

PROJECT INPUTS

We combine the inputs your project needs.

  • Repeating work and process descriptions
  • Sample inquiries, reviews, documents
  • FAQ, policy, and guides
  • Brand tone and reply templates
  • CRM, mail, and chat logs
  • Internal knowledge and document stores
  • API and integration requirements
  • Permissions and org structure
  • Quality bars and review rules
  • Existing automation and scripts
  • Success metrics and KPIs
  • Data and security policy

Actual inputs vary by organization, channels, and data policy.

OUTPUT

Deliverables are operable automation and supporting docs.

Composition varies by project scope. Below are common items.

Workflow composition and automation range vary by project goal and data policy.

HUMAN-IN-THE-LOOP

AI drafts the work. People keep review and judgment.

AI handles classify, draft, and summarize — while people keep final judgment, exceptions, sensitive cases, brand-tone approval, and policy decisions. Review scope can widen in phases as quality stabilizes.

01

Classify → draft → human review → send

02

Review cluster → summary → owner confirmation

03

Doc summary → key extract → decision-maker review

04

Internal Q&A → sources → answer within permissions

05

Exception / sensitive case → human escalation

06

Continuous prompt and quality-bar improvement

Fully automatic sending is not recommended at first. Start with human-in-the-loop structure, confirm quality, then widen scope.

SCOPE LEVELS

How to think about project complexity.

Not a fixed package. Scope is set by workflow count, integrations, data policy, and review depth.

01FOCUSED PILOT

  • Single repeating task or channel
  • One of classify, draft, or summarize
  • Human-in-the-loop review
  • 1–2 basic integrations
  • Pilot operation focus

02MULTI-WORKFLOW BUILD

  • Multiple workflows and channels
  • Classify, draft, summarize combined
  • CRM, mail, internal tool links
  • Guardrails and audit logs
  • Operating guide included

03PLATFORM INTEGRATION

  • Web, app, internal system integration
  • Multiple models and data sources
  • Permission, tenant, policy structure
  • Expansion and Phase 2 design
  • Long-term ops and tuning link

TIMELINE

Estimated project timeline

Timelines are estimates after requirements lock and kickoff for a basic scope. They may change with features, integrations, feedback delays, and App Store / Google Play review.

PROJECT SCOPE

Starting price and basic scope

AI AUTOMATION

From ₩2,000,000

Business Automation — one core business workflow automation. External costs such as domain, hosting, servers, paid APIs, SaaS, and App Store / Google Play accounts may apply separately.

Basic scope

  • Scopeworkflow and feature range
  • Complexityclassify, draft, summarize depth
  • Timelineschedule and resourcing
  • IntegrationCRM, mail, API, internal tools
  • Data policysecurity, retention, training scope
  • Review depthhuman-in-the-loop level
  • Model usageAPI and volume
  • Post-launchtuning and expansion

PROCESS

From work mapping to operating handoff.

  1. DISCOVERY

    Confirm repeating work, channels, data, quality bars. Understand automation goals and constraints.

  2. PRIORITIZE

    Start where impact versus effort is strongest. Agree pilot scope and success criteria.

  3. DESIGN

    Design workflows with prompts, rules, review points. Confirm human-in-the-loop structure.

  4. BUILD

    Implement AI capabilities and integrations. Validate classify, draft, summarize quality with samples.

  5. PILOT

    Operate with a limited team or channel and tune quality. Balance review load and automation rate.

  6. DEPLOY

    Deploy to production and set monitoring. Confirm rollback and escalation paths.

  7. HANDOFF

    Document operations and hand off. Connect expansion and improvement path.

DELIVERABLES

What you receive when the project completes

We deliver the items below as needed for your scope.

Automation Scope Definition

Workflow Design

AI Capability Build

Integration Setup

Review & Guardrail Guide

Operating Documentation

Pilot Report

Quality Metrics Setup

Phase 2 Roadmap (optional)

WHO IT'S FOR

Who it's for

  1. Teams repeating inquiry, classification, and drafting work

  2. Teams that want AI but don't know where to apply it

  3. Organizations with more tools but unchanged workflows

  4. Teams needing human-in-the-loop automation

FAQ

Frequently asked questions

We propose a setup that fits the work and data policy — not a single vendor lock-in.

Default is operational use for your work. Training and retention are agreed separately.

We usually start with human-in-the-loop review. Automation widens when quality is stable.

We review your stack and confirm what we can connect.

Yes. Pilot one repeating workflow first.

Workflow Automation focuses on SaaS and data connections. AI AUTOMATION centers on AI classify, draft, and summarize in the workflow.

Yes. Prompt improvement, workflow expansion, and additional integrations can continue under separate agreement.

START A PROJECT

Start with AI automation
that attaches to real work.

Tell us the repeating work and tools you already use. We will confirm classify, draft, and summarize scope and human-in-the-loop structure together.

AI automation inquiry → View all AUTOMATION →
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