AI strategy

AI strategy consulting for your business.

AI consulting to assess data readiness, prioritize use cases, and plan implementation. KODE supports businesses from Jakarta, Indonesia.

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AI illustration: Professionals discussing process maps and notes at a table

Clear priorities. Measurable next steps.

AI illustration · Not a photo of our team, a client, or a project.
  1. Map the need

  2. Set priorities

  3. Build a roadmap

What the work covers.

For teams ready to begin but unsure which use case deserves priority.

  • Process, data, and stakeholder needs assessment
  • Use cases ranked by impact, risk, and feasibility
  • A business case with explicit cost and benefit assumptions
  • Pilot scope, success measures, and an implementation plan

Prepare together

Clear scope before work begins.

Bring a process owner, a sample workflow, and an overview of data sources. Sensitive data is not needed for the initial conversation.

  • The need and process owner
  • Deliverables, boundaries, and acceptance criteria
  • Timing, costs, responsibilities, and support

Outputs your team can act on

Strategy starts with work that needs improvement. We assess processes, data, ownership, and change costs. Agreed outputs may include prioritized use cases, a readiness assessment, a business case, and a pilot scope with success criteria. Business and IT teams review assumptions before choosing the next step.

Cost and next steps

Cost is determined after discussing goals, scope, data readiness, integrations, and support needs. Describe the process and intended outcome; confidential data is not required for the first conversation.

How to choose an AI consultant →

Your next step

Start with one task you want to improve.

Tell us which process takes up your team’s time. We’ll explore the need, data readiness, and a practical first step.

Guides for your decision

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