Each case explains the underlying problem, our approach, and the results, along with the corresponding service depth. The systems were built through AI-assisted development, showing that purpose-built tools can be financially realistic for small and medium-sized businesses. Client names are anonymized by agreement.
Insurance agency office｜Operations management system
Service depthLayer 2｜Workflow integration
We integrated the sales management once tracked on a blackboard and the client records kept in personal notes into a role-layered system: managers see the whole team, while each user sees only the information needed to get their work done.
Non-profit foundation｜LINE smart customer service
Service depthLayer 1｜Task automation
With only two full-time staff maintaining five channels at once, we first consolidated the service channels, then deployed a local AI on existing equipment — responding immediately while keeping data within the organization.
Insurance agency office｜Corporate training
Service depthLayer 1｜Task automation
We turned passive lecture-listening into an interactive contest linked across three devices, and built a question-bank structure that can be swapped out as a whole set. The heart of it isn't the game format, but question design that prompts judgment and discussion.
Non-profit organization｜Digitizing paper records
Service depthLayer 1｜Task automation
We turned a hard-to-carry, Chinese-only paper observation chart into a multilingual mobile app — supporting fine-grained records and report export, with data kept only on the user's own phone.
Hardware & building-materials trader｜Adoption assessment・Scenario demo
Service depthLayer 2｜Workflow integrationLayer 3｜Capability transfer
It began with a request to convert Simplified to Traditional Chinese and expanded into a full review of operations. The diagnosis showed that a large share of routine work was ready for automation, and the twenty-year-old inventory system could be kept and connected to.
Cross-case insight
Across different organizations and types of tools, we keep seeing the same thing: however complete a system is, if users don't have the time, the method, and the will to fold it into their daily work, the delivery isn't finished.
Winnow therefore does not separate delivery from adoption. On-the-job coaching, real usage scenarios, and capability transfer are all part of the work; the organization's own participation is what allows change to last.
You don't have to decide which tool to adopt first. Just point out the work that's currently the most time-consuming and error-prone, and we'll come on-site to judge together where it's most worth starting.
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