Strategic Consulting
Bangkok, Thailand
Our Services
We combine strategic expertise across four core disciplines to help organizations build sustainable competitive advantages in an AI-driven world.
Strategy is key. Strategic thinking, winning results.
We focus on careful analysis and well-defined roadmaps to help organizations navigate complex challenges in the AI era.
Faster AI adoption with structured strategy
Higher productivity from planned implementation
Deep analysis of your competitive landscape, identifying where AI creates asymmetric advantages and where lagging adoption poses existential risks.
Phased, resource-aware implementation plans that balance quick wins with long-term capability building. Every milestone is measurable and tied to business outcomes.
Comprehensive assessment of your organization's readiness for AI transformation — from leadership commitment to data infrastructure to talent pipeline.
Custom KPI frameworks that connect AI competency development to business performance, ensuring ROI visibility at every stage of the journey.
In a world of followers, be a leader.
Transformation of novel ideas into valuable products or services. We help organizations embrace change and turn disruption into opportunity.
Growth in AI-fluent roles (2023-2025)
YoY increase in AI job postings
Structured programs that take teams from ideation to validated prototypes. We use design sprints, hackathons, and systematic experimentation to de-risk innovation.
Systematic identification of high-impact AI applications specific to your industry, workflows, and competitive position — prioritized by feasibility and business value.
Continuous monitoring of emerging AI capabilities, tools, and platforms. We filter the noise so your organization can focus on technologies that matter.
Building organizational muscle for continuous innovation through training, incentive design, and structural changes that encourage experimentation.
Design turns dreams into reality.
Creating functional, beautiful solutions that transform experiences at the intersection of form, function, and human needs.
Completion rate with well-designed learning paths
Higher engagement with personalized design
End-to-end mapping of service delivery processes, identifying where AI can enhance customer experience, reduce friction, and create new value touchpoints.
User-centered design for AI-powered applications — from assessment dashboards to learning platforms. Every interface is intuitive, accessible, and purposeful.
Designing the complete journey — from first assessment to ongoing development. We architect learning experiences that maintain engagement and drive completion.
Specialized design patterns for AI-augmented workflows. We ensure AI tools enhance human capability rather than creating friction or distrust.
Anticipate. Prepare. Lead.
The practice of anticipating and preparing for the future to make informed decisions about workforce development and AI strategy.
New AI roles by 2030 (WEF)
Workforce needs reskilling by 2030
Developing multiple plausible futures for your industry and organization, stress-testing your AI strategy against each scenario to build resilience.
Systematic tracking of AI capability evolution, regulatory changes, talent market shifts, and competitive dynamics that will shape your strategic context.
Looking beyond the immediate AI hype cycle to identify second- and third-order effects — new business models, displaced roles, and emerging opportunities.
Translating future intelligence into present-day decisions. We help leaders invest in capabilities that will matter in 3-5 years, not just next quarter.
Service Deep-Dive
Six interconnected disciplines form the foundation of Anakata’s consulting practice for public-sector and enterprise clients navigating long-horizon uncertainty.
Systematic monitoring of mega-trends across technology, society, economy, and geopolitics to inform strategic direction.
Early-signal detection of nascent shifts before they enter mainstream awareness, giving organizations lead time to prepare.
A proprietary scanning matrix that maps signals onto time horizons (2–5 yr, 5–10 yr, 10+ yr) and impact dimensions.
Structured workshops and design-fiction techniques to build shared organizational vision of preferred futures.
Identification of the two most impactful and most uncertain variables shaping an organization’s environment — the axes of scenario matrices.
Application of the Mont Fleur methodology: collaborative narrative-building with diverse stakeholders to create four divergent but plausible future worlds.
Each scenario is used to probe the robustness of current strategy — identifying brittleness and options that perform well across multiple futures.
Human-centered profiles representing stakeholder needs in each future, used to drive service and policy design decisions.
Sequenced adoption plan for emerging technologies aligned to organizational capability maturity and risk tolerance.
End-to-end transformation blueprint covering data infrastructure, system integration, and digital service delivery.
Synthesis of strategic intent and digital execution: connecting board-level objectives to project-level milestones with clear ownership and KPIs.
Phased gate reviews ensuring each roadmap stage delivers measurable value before committing resources to the next horizon.
Pre-built response frameworks for high-probability disruptive events — cyber incidents, supply-chain shocks, regulatory reversals, and public-trust crises.
Protocols for low-probability, extreme-impact events. Focuses on adaptive capacity rather than prediction: rapid sense-making, decision authority, and communication chains.
Simulated crisis scenarios run with leadership teams to rehearse decision-making under time pressure and information ambiguity.
A dashboard of leading indicators that signal crisis onset early — providing actionable triggers for escalation before full impact materializes.
Structured comparison of distinct strategic directions across feasibility, risk exposure, resource requirements, and expected value — enabling evidence-based board decisions.
Financial-strategy hybrid that values flexibility: investing in capabilities that preserve future choice rather than locking in a single direction too early.
Visual mapping of branching decisions and probabilistic outcomes, helping leadership teams reason through sequential choices with interdependent consequences.
Allocation of strategic initiatives across short-term certainty and long-term bets, ensuring organizations invest in both execution and exploration simultaneously.
A seven-component risk discipline covering the full lifecycle from identification to ownership. Expanded detail is provided in the section below.
Risk Discipline
A rigorous seven-component framework that transforms risk from a compliance exercise into a strategic asset — building organizational foresight, accountability, and adaptive capacity.
Systematic discovery of events and conditions that could prevent objectives from being achieved. Uses PESTEL scans, process failure analysis, stakeholder interviews, and cross-sector benchmarking to produce a comprehensive risk register.
Quantitative and qualitative scoring of each identified risk across two dimensions — Likelihood and Impact — plotted on a heat map. Supports prioritization and resource allocation decisions.
Selection and design of mitigation strategies: Avoid, Reduce, Transfer, or Accept. For each material risk, response owners, budget, and implementation timeline are defined and approved at executive level.
Ongoing surveillance via a real-time risk dashboard tracking leading indicators (Risk Indications). Automated alerts trigger escalation when thresholds are breached, ensuring decision-makers act before risks crystallize.
A library of Key Risk Indicators (KRIs) and early-warning signals specific to each risk category. KRIs are calibrated against historical data and expert judgment to minimize false positives while ensuring adequate sensitivity.
The raw exposure level before any controls are applied. Establishing a credible inherent risk baseline is essential for measuring the true effectiveness of risk responses and demonstrating governance accountability.
The remaining exposure after all controls are operating as intended. Residual risk is compared against the organization’s Board-approved risk appetite to determine whether further treatment or formal acceptance is required.
Clear assignment of accountability for each risk and its associated controls to named executives and managers. Ownership structures include Risk Champion networks, periodic attestation cycles, and performance linkages.
Anakata’s proprietary Risk Intelligence Database aggregates public-sector risk events, regulatory changes, and incident reports from across Asia-Pacific, enabling organizations to benchmark their risk exposure and learn from peers.
Explore the platformRisk Indicators
Real-time KRI tracking
Report Generation
Automated risk reports
Risk DB Service
Peer benchmarking data
Explore how our four pillars can work together to transform your organization’s AI capabilities.