AX, AI agents and automation:
where to start.

AX (AI transformation) changes how work gets done: AI agents handle the repetitive work while people keep judgment and approval. Noventis designs and builds business automation in four stages (AX diagnosis, agent design, build & PoC, operate & improve). A first project usually targets one touchpoint and reaches PoC within 4–8 weeks.

What is AX (AI transformation), and how is it different from automation?

  • Traditional automation such as RPA and macros repeats fixed rules and screen sequences. AI agents read unstructured input such as emails and documents and carry the work through classification, summarization and drafting.
  • AX isn't adopting one tool. It's re-dividing work, task by task, into what AI takes on and which judgments and approvals stay with people.
  • So every Noventis AX diagnosis first separates what to automate, where people decide and where approval is needed, and only scope validated by a PoC on real data moves into operation.
7 criteria for choosing the first tasks for AI agents (in Korean)

What work can AI agents automate?

Each service page covers the questions it answers, scope, what we don't do, deliverables and FAQ (in Korean).

Separate technologies,
one automated workflow.

We connect four areas of expertise
into automation that actually runs,
proven on client projects.

Agent EngineeringAgent Engineering

We design and build agents that orchestrate LLMs around your business rules and approval points.

Proven on client projects

  • Agentria platform testing and agent design advisory for Genesis Lab
  • Custom CMS agents and marketing operations agents for clients
  • Multi-LLM routing and a prompt evaluation framework
  • LLM orchestration
  • RAG
  • Evaluation & guardrails

Media & ContentMedia & Content

We turn repetitive content operations (multilingual subtitles and translation, content conversion, review) into automated pipelines. We don't produce content for you; we build the systems your team runs.

Proven on client projects

  • Fox Edu educational shorts platform PoC: automated flow from curriculum standards to scripts and shorts, with planner review
  • AI subtitle and dubbing translation system for 13 countries; long-form to short-form conversion pipeline
  • Brand-specific generation pipelines built on LoRA training
  • Generative AI
  • STT·TTS
  • LoRA

Marketing & DataMarketing & Data

We automate the operating loop from creative generation to publishing, performance analysis and issue monitoring.

Proven on client projects

  • Marketing operations automation: creative generation, scheduled publishing, performance dashboards
  • Automated operation of AI influencer social channels
  • Media monitoring system for Korea's milk checkoff board (우유자조금): issue analysis and automated reporting (2026.05~)
  • Ad ops automation
  • Monitoring & analysis
  • KPI dashboards

PlatformPlatform

We build iOS and Android apps, web, backend and admin consoles end to end.

Proven on client projects

  • Full-stack builds across iOS, Android, web and backend
  • Admin consoles and CMS with built-in AI analytics
  • KShort short-drama OTT app and admin (2026.02~04)
  • Swift·Kotlin
  • Flutter·Next.js
  • Supabase·PostgreSQL

Start with diagnosis.
Aim for changed work.

We separate what to automate from what people decide, and move validated scope into operation first.

  1. 01

    AX diagnosis

    We map repetitive work and data flows, then separate what to automate, where people decide and where approval is required.

  2. 02

    Agent design

    We define inputs, outputs and approval rules for each task, and when to hand off to a person on failure. Brand facts and tone come first.

  3. 03

    Build & PoC

    We build agents on real business data and people review the results. Only validated scope moves into operation.

  4. 04

    Operate & improve

    We measure throughput, errors and review time, re-measure on the same basis, and widen the agents' scope.

  • We never design automatic execution without approval. Failures and uncertain results go to a person.
  • We fix brand facts and tone first, and review agent output against them.
  • We describe results only in measurable terms such as throughput, errors and review time. No guarantees.
  • We don't lock into one model; our evaluation framework lets us swap models and prompts and check for regressions.

What should you check before reviewing a PoC and moving to operation?

We review results on real business data and move validated scope into operation. When considering adoption, check these items in the proposal and contract.

  • Review and approval: who reviews results, and under which conditions they approve or reject them.
  • Evaluation: which data and criteria are used to measure throughput, errors and review time.
  • Move to operation: validated task scope, handoff conditions when a task fails, and what to recheck after a change.

Accuracy review criteria (in Korean)Items to check in an operating contract (in Korean)

Built in the field,
a record of change.

From research to delivery and operation.
Client projects and our own product.

  • 2025.07 ~Engaged

    Genesis Lab

    Agentria platform testing and agent design advisory

  • 2025.12MOU

    Red Dog Culture House

    Content and global localization partnership (MOU)

  • 2026.01Delivered

    Tocom Media

    AI subtitles & translation (13 countries), marketing ops automation, CMS agent

  • 2026.02 ~ 04Delivered

    KShort

    Short-drama OTT app and admin

  • 2026.05 ~In operation

    Korea Milk Checkoff (우유자조금)

    Media monitoring system

  • 2026.05 ~ 06PoC

    Fox Edu

    Educational shorts platform PoC

  • 2026.07 ~In progress

    Habito

    AI family task manager (our own product)

See all projects and deliverables

FAQ: AX, AI agents and automation

From starting AX to working with Noventis.

What should I check before reviewing a PoC and moving to operation?

Noventis describes reviewing results on real business data and moving validated scope into operation. When considering adoption, check the reviewer and approval or rejection criteria, how throughput, errors and review time are measured, handoff conditions when a task fails, and the scope moving to operation in the proposal and contract. These review items do not guarantee any individual project's features or results.

Sources: Noventis · AX diagnosis through operation · Accuracy review criteria (Korean) · Items to check in an operating contract (Korean)

What is AX (AI transformation)?

AX stands for AI Transformation: changing how an organization works so that AI agents do the repetitive work while people keep judgment and approval. Noventis works by the principle “Repetition to AI, judgment to people” and covers diagnosis, design, build and operation.

Sources: Ministry of Trade, Industry and Resources · Manufacturing AX results: 30% productivity improvement across 170 sites (Seoul Shinmun, September 11, 2026; Korean source) · Korea Policy Briefing · Large-scale AI transformation projects begin (Korean source)

What has Noventis automated so far?

We have validated four domains on real client projects. (1) AI agents: Agentria platform testing and agent design advisory for Genesis Lab; CMS and marketing operations agents for clients. (2) Media & content: Fox Edu educational shorts PoC; AI subtitle and dubbing translation for 13 countries. (3) Marketing & data: marketing operations automation; a media monitoring system for Korea's milk checkoff board (in operation). (4) Service platforms: KShort short-drama OTT app and admin; full-stack iOS, Android and backend.

How are AI agents different from chatbots or RPA?

RPA and macros repeat fixed rules and screen sequences, and chatbots mostly answer questions. AI agents read unstructured input such as emails and documents and carry the work through classification, summarization and drafting. Because they can be wrong, Noventis first defines the inputs, outputs and approval rules for each task and when to hand off to a person, and we never design automation that sends messages, makes payments or deletes data without approval.

How does an AX project (building AI agents) run?

In four stages. (1) AX diagnosis: we review repetitive work and data flows and separate what to automate from where people decide. (2) Agent design: we define input, output and approval rules for each task. (3) Build & PoC: we build agents on real business data and validate the results. (4) Operate & improve: we measure outcomes and widen the agents' scope. Contact us at contact@noventis.io.

What tech stack do you use?

LLM orchestration, RAG, prompt evaluation and guardrails, and multi-LLM routing (agents); generative AI, STT, TTS and LoRA (media); ad ops automation, monitoring and KPI dashboards (marketing & data); Swift, Kotlin, Flutter, Next.js, Supabase and PostgreSQL (platforms). We don't lock into one model; our evaluation framework lets us switch and re-validate models.

How much does it cost and how long does it take?

A first project usually targets one touchpoint (inquiry emails, quote requests, booking calls, etc.) and reaches PoC within 4–8 weeks. Cost depends on the automation scope and the number of systems to integrate, and is confirmed in a written quote after the diagnosis meeting. We don't promise outcomes; we report measured values such as throughput, errors and review time.

What doesn't Noventis do?

We don't build automation that sends messages, makes payments or deletes data without approval, we don't guarantee outcomes we can't measure, and we don't produce video or ad content for you. Noventis designs, builds and operates systems that automate a company's repetitive work, and reports results as measured values such as throughput, errors and review time.

How do I contact Noventis?

Email us at contact@noventis.io. We reply in Korean and English. Our address is 4F, 13 Yeonnam-ro, Mapo-gu, Seoul, Republic of Korea.

Now, take
the next step.

Tell us what keeps repeating.
We'll help your people focus on the work that matters.

Start a project