DIGITAL + AI DELIVERY · TAIPEI

Make strategy work
inside the real workflow

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.

  • 15+ years shipping digital products
  • 300+ brands
  • 600+ projects delivered

Sound familiar?

Most AI projects do not fail at the demo. They fail to enter the daily workflow.

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.

  • More meetings, while the launch date keeps moving
  • The demo works until real data and edge cases arrive
  • Every vendor owns a piece, but nobody owns the outcome
  • Security, legal, and operations join late and force a rebuild
  • Nobody watches the system after launch, so people return to the old way

How Tenten delivers

From one workflow to production, without leaving responsibility in the handoff document.

Real users, data, and constraints enter early, so every stage produces something visible enough to challenge.

Common sequence

The relay-race project

  1. Buy the tool

    Choose a platform first, then look for a problem that fits it.

  2. Run a POC

    Demonstrate the feature with clean data and ideal conditions.

  3. Discuss integration

    Permissions, exceptions, and existing systems arrive late.

  4. Hand over at launch

    Development ends and operations must find a new owner.

You learn if it works at the end

Tenten sequence

One team stays accountable

  1. Choose a real workflow

    Map the people, data, decisions, and waiting inside it.

  2. Build with real conditions

    Data, permissions, and exceptions enter the first version.

  3. Define acceptance first

    State what the system may do and when a person takes over.

  4. Integrate and keep owning it

    Monitoring, documentation, escalation, and improvement launch together.

Every stage shows whether to continue

Responsibility does not disappear after launch.

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

Build and extend

  • Add workflows and features
  • Evaluate with real users
  • Keep integration and releases with one team

RUN

Operate and improve

  • Monitor quality, cost, and failures
  • Handle exceptions and security updates
  • Extend the same foundation when needed

Public work, not a vague case

Review one verifiable delivery before reading more promises.

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

A global pressroom rebuilt around clearer publishing and asset workflows

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.

  • <5 minPublishing workflow target
  • DirectusHeadless CMS foundation
  • PublicNamed, reviewable project
See the work and delivery context
  • Auditable output
  • Human approval at critical steps
  • Replaceable models and vendors
  • An owner after launch

Pick a starting point

Do not decide the full solution yet. Decide the next question.

  • 01

    See what we can deliver

    Understand five common delivery paths and the work problems each one fits.

    Explore all services
  • 02

    Talk through the stuck workflow

    Tell us how the work runs now, where it waits, and what outcome would justify a change.

    Bring us the workflow
  • 03

    Plan the first approvable use case

    Write down inputs, boundaries, human approval, and acceptance evidence before committing to a build.

    See the methodology

Your AI project can start with today's work

You do not need an AI strategy.Bring us one stuck workflow.

We will first judge whether AI helps, what to build first, what data is required, and who should own the risk.

Describe the workflow
  • Workflow first, not model first
  • No complete specification required
  • Clarify conditions before estimating the build