Not consulting that ends after installing a chatbot. We diagnose your work, design AI agents, and build and hand over systems that run every day.
AI automation consulting diagnoses your company's repetitive work, splits it between AI and human judgment, and builds it into automation that actually runs every day — operations included. It redesigns the whole workflow, not just recommends tools.
First we find what repeats weekly and where time leaks. Automation comes after diagnosis.
Irreversible steps like sending and payment always pass human approval. Handing over everything is risky.
Not a tool that ends at install — an operating system that runs daily and checks itself.
AI agent design gives an AI its goals, tools, sequence, and check rules so it works like a staff member in charge of a task. Unlike one-line prompting, an agent chains multiple steps by itself — research, drafting documents, reporting results.
The common thread: work that is rule-based and repetitive. Route judgment calls back to humans, and far more tasks qualify than you might expect.
Find partner and customer prospects, keep the list updated daily.
Quotes, invoices, export papers — fixed-format documents generated from data.
Create and publish website, newsletter, and social content in multiple languages.
Helpdesk bots answer FAQs in multiple languages, lightening the support load.
Daily checks on system health and results, with alerts on anomalies.
Scattered order, sales, and inventory data pulled into one place, organized automatically.
Every project follows the same five stages. Each stage's deliverables are confirmed before moving on, so progress is always visible.
We walk through your current workflow together to find repetition, bottlenecks, and what can be automated. The free diagnosis consult is this stage.
We finalize the workflow map: which tasks go to AI agents, and where humans approve.
We build the system as designed, connecting the sheets, email, and messengers you already use.
We run it on real data, fix errors and exceptions together, and confirm with your own eyes what is automated.
Operations are handed over with documentation and training. The goal: you run it yourself, no code required.
Not demos — systems still running every day. We tailor the same methods to your company's work.
For a B2B kidswear seller, the export flow became one pipeline: overseas partner discovery, intro mailings (after human approval), a dedicated order portal, and auto-generated invoices and export papers. Humans focus on judgment and approval.
For international students at a Seoul university, a helpdesk bot answers class, admin, and daily-life questions in multiple languages — cutting the load of repeated FAQs.
A content pipeline creates and publishes AI news and articles in four languages. Over 160 articles published so far, with 40+ automations running on daily schedules.
※ To protect clients, names and detailed figures stay private. The structure and methods are shown as-is in consultation.
Whichever vendor you consider, ask these five questions before signing. KNDLI answers all five with evidence from live operations.
Check for automation that actually runs daily — not just demo screens.
Do they start with diagnosing your work, or with selling tools? A quote without diagnosis has no basis.
After the build, do they hand over docs and training — or keep you dependent on them?
Instead of "it will get better," do they state verifiable criteria for what gets automated, and how much?
Can they understand your language and industry, and communicate well? Automation is a series of conversations.
Tell us about your current work — we'll start with a free diagnosis of what can be automated.
※ Consultation details and client materials stay confidential. Irreversible actions like sending and payment always pass human approval, even when automated.
AI automation consulting diagnoses a company's repetitive work, splits it between what AI handles and what humans judge, and builds it into automation systems that actually run every day — then hands over operations. It is closer to redesigning whole workflows (research, documents, support, reporting) than installing a single chatbot or tool. KNDLI works in five stages — diagnose, design, build, verify, hand over — aiming for a state where the client runs everything without knowing code. B2B export work, a university helpdesk bot, and multilingual publishing all run daily on this same method.
There is no single fixed price: cost depends on the scope of work to automate, how many tools need connecting, how many languages you operate in, and whether handover and training are included. A small project automating one task differs greatly from building a full pipeline from discovery to orders to paperwork. KNDLI starts with a free diagnosis consult to map your workflow and what can be automated, then proposes a staged, tailored quote. Small-scope contracts that start with just part of the work are also possible — so you can talk to us comfortably even before a budget is fixed.
KNDLI runs five stages. Stage 1, diagnose: we walk your current workflow together to find repetition and bottlenecks. Stage 2, design: we fix the workflow map — what goes to AI agents, where humans check. Stage 3, build: the actual automation system is created. Stage 4, verify: we run it on real data and fix errors and exceptions together. Stage 5, hand over: operations pass to you via documentation and training so you can run it yourself. As a rule, irreversible steps like sending and payment always require human approval, even when automated.
Five families of work get automated most often. One: research and discovery — finding partner or customer prospects and keeping lists updated. Two: fixed-format documents such as quotes, invoices, and export papers. Three: multilingual content created and published to websites, newsletters, and social channels. Four: support and helpdesk bots answering frequent questions. Five: monitoring and reporting that checks system health and results daily. The common thread is rule-based, repetitive work. Design exceptions to route back to humans, and far more tasks qualify than you might expect.
AI agent design means giving an AI its goals, tools, working order, and check rules so it works like a staff member responsible for a task. Unlike getting an answer from a one-line prompt, an agent chains steps by itself — finding material, producing documents, reporting results. The heart of good agent design is deciding what NOT to delegate: irreversible actions like sending and payment must pass human approval, and fail-safe rules — stop and alert on failure — must be designed in, or it cannot be trusted in real work. KNDLI operates multiple agents in production on these principles.
Check five things when choosing an AI automation vendor. One: do they have automation actually running daily, not just demos? Two: do they start with diagnosing your work, or with selling tools? Three: after the build, do they hand over operations with documentation and training, or keep you dependent? Four: instead of vague promises, do they state verifiable criteria for what gets automated and how much? Five: can they understand your language and industry and communicate well? All five are fair questions before signing — and a vendor who hesitates to answer is safest avoided. KNDLI answers all five with evidence from live operations.
Yes — and the tighter your headcount, the bigger the payoff. When one person must cover discovery, quotes, orders, paperwork, and content, delegating the repetitive parts to AI is effectively hiring another employee. KNDLI itself is a company where one non-developer runs export operations, a helpdesk bot, and multilingual content together with an AI team, so we know what scope is realistic for small organizations. We recommend automating one task first, confirming the effect, then expanding — rather than building a big system upfront. Where to start is something we decide together in the free diagnosis consult.