ANGKASA

Approach

From first conversation to AI in production

A clear process, sized to your problem. Most teams have their first AI workflow running within four to six weeks of kickoff.

[01]Process / Four steps

Set the measures. We build to them.

Every engagement follows the same four steps, sized to the problem in front of us.

  1. [01]Weeks 1–2

    Understand the work

    We sit with the people who do the work, review your data, and agree on what success looks like in numbers.

    • Workflow map
    • Data review
    • Success measures

  2. [02]Weeks 2–3

    Design the solution

    We choose the approach, the tools, and the access each step needs, and build an evaluation set from real cases.

    • Solution design
    • Access plan
    • Evaluation set

  3. [03]Weeks 3–6

    Build inside your systems

    We build and integrate in short cycles, testing against your cases until the results hold up.

    • Integration
    • Testing
    • Review cycles

  4. [04]Ongoing

    Launch and improve

    We roll out with training, monitor quality, and review results against the measures we agreed.

    • Rollout
    • Training
    • Monitoring

[02]Engagements / Ways to work together

Start small. Scale what works.

Every engagement is scoped after a first conversation. These are the shapes most of them take.

  • Discovery sprint

    Find and rank the AI opportunities in your business, with a roadmap you can act on.

    Typical length

    2–3 weeks

    • Workflow and data review
    • Ranked opportunity map
    • Success measures per use case
    • Roadmap and effort estimate

  • Pilot

    Put one workflow into production and prove its value against agreed measures.

    Typical length

    4–6 weeks

    • Discovery for one use case
    • Build and integration
    • Evaluation on real cases
    • Training and launch

  • Rollout

    Extend what worked to more teams, workflows, and systems.

    Typical length

    Per phase

    • New workflows and integrations
    • Access and approval design
    • Team training
    • Monitoring dashboards

  • Partnership

    Keep systems healthy and keep finding the next opportunity.

    Typical length

    Monthly

    • Quality monitoring
    • Monthly results review
    • Improvements and new use cases
    • Priority support

Not sure where to start?

Tell us the problem

We will suggest the smallest useful first step, even if it is not a project with us.

[03]What we believe

Principles behind every engagement

  1. 01

    Start from the problem.

    Every engagement starts from a problem worth solving, not a tool worth selling.

  2. 02

    Measure before you build.

    We agree on success measures up front and report against them after launch.

  3. 03

    Work where the work happens.

    AI belongs inside the tools your team already uses, not in another tab nobody opens.

  4. 04

    Keep people in control.

    Sensitive actions wait for a person to approve them, and every connection is documented.

  5. 05

    Start small, then scale.

    One workflow in production teaches more than ten pilots on slides.

  6. 06

    Leave the team stronger.

    Your people own the systems, the documentation, and the know-how we leave behind.

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