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The complete AI tool selection guide — what to decide on

Choosing a tool is hard not because there are many candidates but because the comparison criteria are undecided. Fix the criteria first and even 700 candidates narrow within days.

4 criteria Korea conditions Comparison procedure

The short answer

Four axes actually decide it: does it fit our work, does it pass our data terms, is the total cost bearable, and can we operate it. That is also the order.

The common mistake is deciding on the first axis alone. The most capable tool genuinely does fail on data terms often enough — and when it does, the right answer is the best of those that pass.

Criterion 1 — fit to the work (the work, not the feature list)

Do not compare feature lists. Pick ten pieces of your own work and give the same task to each candidate. It has to be work you genuinely needed last month; invented examples do not separate them.

Three scoring criteria are enough: factual accuracy, how close it is to usable, and how natural the Korean reads. Half a day, and more accurate than benchmark articles.

Narrow to three to five candidates here. More than that and the research load of the next stage delays the decision.

Criterion 2 — data terms (the axis that trips Korean adoption most)

Item	Why it matters
Training use	Whether input is used to train models — the default, how to disable it, and whether it is in the contract
Storage location	For a sector or contract requiring domestic storage this narrows the field immediately
Sub-processing	Whether the tool calls another model provider; if so you need their policy too
Retention	How long prompts and outputs are kept, and the deletion turnaround
Administrative controls	SSO, audit logs, permission separation — and from which plan

Criterion 3 — total cost (the items off the price page)

Usage charges — Throughput fees on top of seats. Measure over two to four weeks of real use and extrapolate.

Which tier holds the security features — Check whether passing security review means paying for a tier above the one you priced.

Integration and data preparation — Connecting to existing systems and cleaning data — usually more than the licence.

Human review time — The time people spend checking output. Put it at zero and the calculation is meaningless.

Switching cost — What moving in a year costs. Data exportability decides this number.

Criterion 4 — operability (including Korean adoption conditions)

What "Korean support" actually means — Distinguish a translated UI from response quality from a Korean support desk. Those are three different claims.

Support hours — Whether the support channel is open during KST business hours. Incident response time drives day-to-day satisfaction.

Local billing and tax invoices — Without them, accounting handling and FX arrive. At scale this item alone eliminates tools.

Contracting locally — Whether you must contract with the foreign entity directly or can go through a local partner. The legal review burden differs.

Handover — Whether someone else can take it over when the person who set it up leaves. Tools with complex configuration score badly here.

The procedure — the four in order

Narrow to three to five on criterion 1, then filter on criterion 2. Dropping to one or two candidates here is normal.

For what survives, compute twelve-month total cost and fill in the operability table. That table becomes your approval document — why this tool, and why not the others, are both in it.

Finally write the stop condition: "if this metric is not at this level in three months, we revisit." Without that sentence a wrong choice gets pushed indefinitely.

The rest of this cluster

Finding candidates — Thirty free AI tools by function — and where free stops

General assistants — ChatGPT, Claude and Gemini — choosing on the work

Security review — A security checklist for adopting AI tools

Cost — The costs that are not on the AI tool price page

Internal policy — Writing an internal AI usage policy

Concepts — What is an AI agent, and how does it differ from a chatbot?

Frequently asked questions

There are too many candidates to begin.

Filtering by function and pricing type usually gets you under ten. Narrow in the directory, then use the ten-prompt comparison to pick three to five.

Is choosing the most popular tool wrong?

It is a reasonable starting point, but data terms and Korean adoption conditions are unrelated to popularity. Popular tools do fail on local billing or domestic storage requirements.

Can we just trial the free tier and decide?

Good for quality comparison. But free-tier data terms differ from paid, so test with a de-identified sample rather than company data.

Is one tool for everything better?

It lowers management overhead but fits each task less well. In practice a general tool is the default with dedicated tools for specific work.

Narrow the field

Filter it yourself

The AI product directory filters by function, pricing type and Korean support, and every product page states Korean support, data location and tax invoice availability.

Open the directory