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Digital transformation trends, AI insights and global expansion strategy — first-hand perspectives from the Unima advisory team.

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2026-03-158 min read

AI Decision-Making for SMEs: Start by Tiering Data and Decision Scenarios

First define the decision to improve, data maturity, and the cost of errors, then assess whether reports, forecasting, or AI are appropriate; tool selection should be driven by verifiable scenarios and risk boundaries.

AI LeadershipDigital TransformationSMEs

2026-03-016 min read

2026 Government Grants Update: Key Points for SBIR and SIIR Applications

Verified and updated 2026-08-19: the central government SBIR accepts online applications year-round; FY115 SIIR funding has been exhausted and no second round will be accepted. Confirm eligibility, data, KPIs, and execution capacity before applying.

Government GrantsDigital TransformationSMEs

2026-02-158 min read

From ERP to AI: Using Three Layers of Conditions to Determine Your Upgrade Path

First check the conditions for operational traceability, management visibility, and AI readiness, then decide the next step for ERP, CRM, BI, or AI. The three layers are an assessment framework, not a fixed implementation sequence.

ERPAIOperations Upgrade

2026-02-018 min read

What Should Enterprises Do Before Expanding Overseas? Southeast Asia Market Validation and Operational Readiness

Without treating locations, networks, or tools as proven advantages, this article outlines how companies evaluating Southeast Asian markets can use market hypotheses, customer validation, channel accountability, and systems readiness to design verifiable small-scale tests.

Global ExpansionMarket ValidationOperational Readiness

2026-01-156 min read

CRM Implementation Guide: Align Requirements, Data, and Adoption Conditions First

CRM implementation should not start with choosing a tool. This article uses five dimensions (requirements, data, adoption, integration, and KPIs) to outline a reversible pilot and the conditions for scaling.

CRMCustomer DataUser Adoption

2026-01-018 min read

IoT for Smart Manufacturing: Assess Equipment, Data, and Security Before Choosing Technology

IoT adoption should not start with a complete solution. This article uses five fields, equipment, data, interfaces, security, and operational metrics, to outline reversible pilots and the conditions for scaling up.

IoTSmart ManufacturingDigital Transformation

2026-04-208 min read

Stanford AI Index: AI Agent Benchmark Gains Do Not Equal a 77% Enterprise Success Rate

The 77.3% in Stanford’s 2026 AI Index is a Terminal-Bench task benchmark score, not an enterprise project success rate. This article outlines how companies should separately verify technical capability, process value, and operational risk when evaluating AI agents.

AI AgentAI EvaluationStanford AI Index

2026-04-189 min read

Why Does Logistics AI Have Strategy and Budget, Yet Limited Financial Returns?

A BCG survey of 30 leading global logistics companies shows that 67% have a dedicated AI budget, but only 13% say AI has delivered measurable financial impact; processes, data, and adoption approach are the source of the gap.

Logistics AIProcess RedesignBCG

2026-04-168 min read

How to Read the MOEA's AI Assistance Figures: SMEs Should Start with Task Validation

As of the end of March 2026, the Ministry of Economic Affairs (MOEA) had assisted 2,058 enterprises in adopting AI, 91% of them SMEs; the figure reflects program coverage and does not mean every enterprise has achieved financial results.

SMEsAI TransformationOutcome Validation

2026-04-178 min read

Physical AI Is More Than Humanoid Robots: Start Evaluating with Use Cases, Data, and Safety

Forrester defines Physical AI as AI that can model, perceive, reason about, and act on the physical world. This article outlines how manufacturers can begin evaluating it through controlled use cases, equipment data, safety boundaries, and reversible pilots.

Physical AIForresterSmart Manufacturing

2026-04-129 min read

The EU AI Act Is Now in Application in 2026: Multinationals Should First Clarify Roles and Timelines

The EU AI Act entered phased application in August 2026; deadlines differ by use case, company role, and high-risk classification. This article outlines the AI system inventory and accountability review multinationals can complete first.

EU AI ActAI GovernanceGlobal Expansion

2026-05-027 min read

How Can AI Agents Enter a Verifiable Delivery Process?

Whether an AI agent is ready for production should not be judged by demos alone. Companies must first define the task, data and system permissions, human approval, quality and cost baselines, and stop and rollback conditions.

Agentic AIProcess GovernanceBusiness Transformation

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