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Only two of 24 customer service chatbots tested across Malaysia’s biggest consumer-facing sectors could reliably understand their users, pointing to a comprehension gap between a small group of leaders and the rest.
Most customer service chatbots today are not sufficiently meeting the expectations of users, according to data and artificial intelligence (AI) consultancy Entermind.

95% of telecom enterprises struggle to get ROI from AI. Discover the real reasons AI in telecom keeps stalling and what the top 12% of operators are doing differently to scale results.
Entermind, a data and AI consultancy, today announced the launch of Confessions of an AI Chatbot, a whitepaper revealing the findings of Malaysia‘s first systematic study of customer service chatbot quality across travel, telecommunications, eCommerce & Wallet, and financial services.
Entermind, a data and AI consultancy, today announced the launch of Confessions of an AI Chatbot, a whitepaper revealing the findings of Malaysia's first systematic study of customer service chatbot quality across travel,telecommunications, eCommerce & Wallet, and financial services.
If you’ve ever found yourself screaming “Human!” into a chat window at 2:00 AM while trying to dispute a bill, you aren’t alone and, no, you aren’t crazy. It turns out, most of Malaysia’s customer service chatbots are just as frustrated as you are. They just don’t have the “brain” to tell you.
We tested 24 of the country's top customer service chatbots across eCommerce, travel, telecom and financial services. The results will make you rethink every chatbot investment you've made or are about to make.

Discover why AI in telecom is moving beyond chatbots. Explore how network automation, predictive maintenance, and RPA drive ROI for enterprise leaders.

Unlock the power of generative AI insurance solutions. Learn to safely scale AI for underwriting, claims, and fraud detection to boost efficiency.

Prevent AI project failure. Use our 10-step AI implementation roadmap to align goals, prep data, and successfully scale AI across your enterprise.

AI Skills Gap: Why Workforce Readiness Matters

Explore how Malaysia's top firms are transforming industries with hybrid AI architectures, blending cloud, edge, and on-premise solutions for scalable and secure AI.
AI is rapidly becoming part of a marketer’s toolkit. But beyond the hype, the real question is whether AI is actually improving marketing outcomes or simply making it easier to produce more content, faster.
As artificial intelligence (AI) moves from experimentation to everyday enterprise use, the real challenge is no longer what it can do, but how humans and machines work together in ways that drive growth, productivity and trust.

Agentic AI acts autonomously on goals, while Generative AI reacts to prompts for content creation—key for enterprise automation strategies.

What is a Data Pipeline? 7 Core Components of Modern Data Architecture for AI & Analytics Success. Why 80% of AI projects fail: Bad data. Learn ingestion, storage, ELT, orchestration + governance built-in from Day 1.

Top 10 AI Predictions 2026: Agentic AI Goes Production, Multi-Agent Orchestration Wins, Governance Becomes Priority #1. From demos to ROI—enterprise leaders must execute NOW. Shadow AI, sovereignty, workforce shift revealed.

Top 10 AI Consulting Firms Malaysia 2026: Entermind, ABeam, YCP, SmartOSC + Pricing. Build vs Buy? Enterprise AI strategy for RM1.8T market. Custom LLMs, governance, ROI-focused partners revealed!

AI transforms enterprise stacks from rigid legacy suites to composable platforms, enabling modular modernization and real-time orchestration across silos. This shift breaks monoliths into API-connected components, accelerating business velocity without full rip-and-replace disruptions. Governance and cross-functional teams become key to managing complexity in data, content, and AI-integrated fabrics

Enterprises tackling AI face data governance gaps, scalability bottlenecks, and surging compute costs that cause 95% of projects to overrun budgets by 17-30%. Hidden expenses in data prep ($100K-$380K) and 2-3x scaling hikes without MLOps turn pilots into costly failures. Strategic fixes like readiness audits, automation, and optimization frameworks control these for scalable ROI.

Top AI Consulting Companies in the US: Entermind leads with Whole Brain scaling (700+ projects). LeewayHertz, RTS Labs, Accenture ranked by expertise, pricing ($10K-$10M), ROI fit for enterprises

10 Industries Benefiting Most from Custom AI Development: Healthcare diagnostics, retail personalization, manufacturing maintenance. Tailored models unlock ROI generic tools miss—highest in finance & logistics.
Validate content and deploy ethical AI right into your enterprise stack, aligned with Malaysia’s Rukun Negara principles.

AI Readiness: Why 84% enterprise AI projects fail. 5 pillars + roadmap to scale from pilots to production. Free checklist inside.
Unlock smarter retail strategies with AI demand forecasting. Replace manual spreadsheets, improve accuracy, reduce stockouts and maximise profit margins with data-driven insights.
Transform every part of your stock flow for a higher inventory turnover and a better ROI with controlled losses.
95% of AI pilots fail to scale. Will yours be next? Discover why they struggle and how some of the world’s most successful enterprises get it right in this whitepaper.