Case studies / LINE AI customer service

Service depthLayer one|Task automation

Two people, five external channels

Consolidate the channels first, then let AI watch the queue while people retain oversight.

The background

Two full-time staff were maintaining five external channels at once — Facebook, Instagram, LINE, the website, and email. Unlike a large organization that can rotate several people on shifts, a team this size simply can't cover every entry point for long stretches.

One LINE message wasn't noticed until a year after it arrived. The problem wasn't staff neglect; it was the imbalance between the number of channels and the people available to watch them. An entry point that goes unanswered doesn't just miss a single chance to help — it slowly erodes the public's trust in the organization.

From understanding to impact

  1. 01 Understand The problem isn't neglect — it's more entry points than people

    With two people maintaining five channels at once, messages slipping through is a structural inevitability.

  2. 02 Solve Consolidate the channels first, then let a local AI monitor the queue

    LINE becomes the single window; the AI gives a first response and notifies staff by email at the same time.

  3. 03 Impact Service becomes responsive again, and trust gradually returns

    The technology runs in the background; people step in only when professional judgment is needed.

How we approached it

Consolidate Facebook first, automate second

The first step was not to add AI, but to close the channels the team could not maintain reliably. A channel's value lies not in being listed, but in whether the organization can respond through it consistently.

Instant responses on LINE

Using one idle computer already in the office, we deployed a local AI service for the LINE official account. When someone sends a message, the AI gives a first response and, at the same time, emails staff to review it; when a case calls for professional judgment or further handling, a person takes over. Staff keep their existing habit of checking email, with no new software to learn. The system also grows steadily more reliable through continuous iteration.

On LINE, the data stays within the organization's boundary

The AI runs on the organization's own computer, so the public's conversation data never leaves it. For non-profits, healthcare, finance, and membership-based services, privacy shouldn't be an optional add-on — it should be built into the architecture from the very start.

What changed

The system has been running for about a year and a half, and the volume of messages keeps growing. That isn't automation failing — it's the entry point earning back trust: once people know a question will be seen and answered, they're willing to use the channel again.

Internally, the adoption added no new interface to operate and forced no change to the staff's existing email routine; the technology runs in the background, and people step in only when judgment is needed.

Good automation adds no burden to use; it lets a limited team show up only where judgment is needed.

Does your organization also havea service channel it can't answer reliably?

Adoption doesn't have to start by replacing equipment. Existing computers, accounts, and work habits should be put to use first, wherever they fit.

Schedule an initial consultation  Read the next case study