DIGITAL + AI DELIVERY · TAIPEI
We embed engineers, designers, and operators in your business to turn one valuable digital or AI use case into a live system. The same team scopes it, builds it, integrates it, and stays accountable after launch.
Sound familiar?
The tool is bought, the workshop happens, and the proof of concept looks good. Then data, permissions, exceptions, and ownership arrive. If those parts are not connected, the smartest model stays in a deck.
What we deliver
Start with one use case or combine several capabilities into one flow. Every path connects back to your data, permissions, tools, and human judgment.
Reduce one valuable problem to an approvable scope and build the first usable version with real data.
Move routine work forward while exceptions, risk, and approvals return to the right person.
Connect internal knowledge and daily tools so people get traceable help where they already work.
Govern sources, versions, and permissions so every answer can be checked against the original material.
Turn research, content, media, analytics, and learning into an operating system for the marketing team.
Tell us which workflow consumes time, waits on people, or keeps failing. We will first tell you whether AI is useful at all.
Public work, not a vague case
We do not use anonymous customers, untraceable numbers, or tool logos as proof. The beta starts with work that can be inspected publicly.
PUBLIC PROJECT · ASUS PRESSROOM
Tenten rebuilt ASUS Pressroom so editors can publish and journalists can find and download material with less friction. The project uses a Directus headless CMS foundation and the public site remains the reviewable output.
How Tenten delivers
Real users, data, and constraints enter early, so every stage produces something visible enough to challenge.
Tenten sequence
Map the people, data, decisions, and waiting inside it.
Data, permissions, and exceptions enter the first version.
State what the system may do and when a person takes over.
Monitoring, documentation, escalation, and improvement launch together.
Every stage shows whether to continue
Common sequence
Choose a platform first, then look for a problem that fits it.
Demonstrate the feature with clean data and ideal conditions.
Permissions, exceptions, and existing systems arrive late.
Development ends and operations must find a new owner.
You learn if it works at the end
Keep building when the operation needs speed; monitor and improve when it needs stability. The architecture and operating knowledge do not reset between phases.
BUILD
RUN
Pick a starting point
Understand five common delivery paths and the work problems each one fits.
Explore all servicesTell us how the work runs now, where it waits, and what outcome would justify a change.
Bring us the workflowWrite down inputs, boundaries, human approval, and acceptance evidence before committing to a build.
See the methodologyYour AI project can start with today's work
We will first judge whether AI helps, what to build first, what data is required, and who should own the risk.
Describe the workflow