AI Strategy & Readiness
Define use-case priorities, capability needs, and an investment roadmap suited to your organization.
Indicative duration
4-8 weeks
Readiness assessment objectives
AI priorities need to address work quality, organizational outcomes, and the capabilities required to deliver them. We examine the starting conditions of data, technology, people, and governance against actual use-case needs.
The assessment compares options, identifies prerequisites, and sets the basis for benefit and cost estimates. The roadmap follows your planning horizon, with dependencies and review points rather than a fixed multiyear promise.
Scope of Work
AI Maturity Assessment
Assess data, infrastructure, people, and governance maturity using an agreed framework and rating scale.
Data Readiness Review
Review data availability, quality, access, ownership, and fitness for the proposed AI use cases.
Use Case Identification
Work with cross-functional stakeholders to compare candidate use cases by value, feasibility, cost, and risk.
Strategic Roadmap Development
Build a roadmap with milestones, dependencies, resource needs, timeline, and the basis for benefit and cost estimates.
Deliverables and supported decisions
A basis for choosing AI priorities, preparing capabilities, and allocating investment with clear assumptions and dependencies.
The decision this supports
Where can AI deliver value worth prioritizing?
Engagement deliverables
- 01AI readiness report with findings, assumptions, and scores by dimension
- 02AI roadmap with priorities, milestones, dependencies, and timeline
- 03Use case portfolio assessed by value, feasibility, cost, and risk
- 04Decision recommendations, accountability structure, and initial capability needs
Deliverables support decisions; budgeting and procurement detail must be developed through the organization's internal processes.
Roles and engagement boundaries
Assessment and roadmaps inform investment decisions. Detailed procurement documents, legal conclusions, and execution remain with the authorized organizational functions or assigned parties.
Standards & References
- ISO/IEC 42001:2023 — voluntary AI management system standard
- NIST AI RMF 1.0 (2023) — voluntary risk management framework
- Indonesia’s Law No. 27 of 2022 on Personal Data Protection — relevant legal obligations
FAQ
Frequently Asked Questions
What dimensions are evaluated in an AI readiness assessment?
Four main dimensions: data readiness, technology infrastructure, people capability, and governance. Each dimension is scored to produce a maturity score and priority recommendations.
How long does an assessment & roadmap take?
The typical duration is 4-8 weeks, depending on organizational complexity and data availability.
Who should be involved in the assessment?
Teams from strategy, IT/data, operations, and compliance. We run workshops with key stakeholders to ensure the assessment is actionable.
Can the assessment results be used for budgeting?
The assessment can inform budgeting and procurement. The organization must still develop specifications, legal review, budgets, and procurement documents under its applicable procedures.
Starting an engagement
Define the engagement scope
Discuss your needs to agree deliverables, roles, timing, and cost assumptions for a proposal.
Share a general outline. Avoid sending third-party personal data, credentials or confidential documents in the initial discussion.