AI and the Future of HR · Latest
Agentic AI dominates the headlines. What an AI-powered assistant actually changes for Malaysian HR teams: approvals, reminders, timesheets and insight.
Marianne David89 articles
Marianne DavidAI and the Future of HR
AI can be a gift to talent acquisition: fewer hours spent on repetitive screening, more consistent shortlists, faster cycle times. But the minute an algorithm starts ranking people, HR inherits a new kind of risk: one that doesn’t show up as a system error. It shows up as patterns: certain groups making it through at […]
Marianne DavidAI and the Future of HR
Resume screening is the process of filtering applicants to a shortlist suitable for interview. AI-based resume screening augments that process by converting documents into structured fields, extracting skills and experience, and scoring candidates for relevance. The result is faster shortlists, more consistent evaluation and auditable decision traces. Why it matters: manual screening becomes costly and […]
Marianne DavidAI and the Future of HR
AI for performance management is the practical use of machine learning, natural language processing and predictive analytics to reduce review administration and scale manager coaching. This guide explains how automation (admin tasks, reminders, draft generation) differs from augmentation (inflow coaching, personalised microlearning and decision support). It sets expectations: AI should extend manager capacity, not replace […]
Marianne DavidAI and the Future of HR
This playbook starts from a simple premise: AI augments manager judgement, it does not replace it. Managers can use continuous, context-rich signals to run faster coaching loops, reduce admin, and detect risk earlier — then map every action back to measurable KPIs. What this playbook is (and isn’t) This is a manager-first, practical guide: micro-actions, […]
Marianne DavidAI and the Future of HR
Using AI for performance reviews can speed drafting, surface evidence and produce rolespecific suggestions, while leaving rating, disciplinary and hiring decisions to humans. This guide explains where AI should sit in the review lifecycle, what HR must control, and how managers get better feedback faster without sacrificing fairness or auditability. Where AI belongs in the […]
Marianne DavidAI and the Future of HR
AI in performance management means using machine learning, natural language processing and rules-based automation to collect, synthesise and surface workforce performance signals to managers and employees. This guide focuses on practical, ethical people-ops use cases — review drafting, continuous feedback synthesis, coaching nudges, skills-gap detection and predictive models — not covert surveillance or productivity monitoring […]
Marianne DavidAI and the Future of HR
AI for employee engagement combines machine learning, natural language processing and automation to listen, predict and act across the employee lifecycle. The goal is to surface issues earlier, automate routine HR work and guide managers with evidencebacked actions so employees get faster support and clearer development pathways. Who benefits: HR and People Analytics get scale […]
Marianne DavidAI and the Future of HR
Agentic AI for employee experience refers to systems that can take initiative and execute actions on behalf of employees or HR teams, carrying state and context across interactions rather than only responding to single queries. This guide contrasts reactive assistants (inform-only) with systems that can suggest options or act autonomously and sets out a practical […]
Marianne DavidAI and the Future of HR
Work has changed. Employees no longer operate within a single system, a single workflow, or a single moment of interaction. Yet, the way services are delivered to employees has largely remained fragmented – across portals, policies, approvals, emails, and manual processes. MiA ONE changes that. MiA ONE is the next evolution of the workplace experience […]
Marianne DavidAI and the Future of HR
Conversational AI for employees refers to chat interfaces, virtual assistants, and agentic assistants that access HRIS records and policy documents to answer questions and take authorised actions. In practical terms this includes in-app chat, Teams/Slack bots and mobile assistants that return payslips, confirm leave balances or start approval workflows. What we mean by ‘conversational’ vs […]
Marianne DavidAI and the Future of HR
A virtual employee assistant is an employee-grade assistant embedded in an HR system, not a one-off contractor. For SMEs this means the assistant arrives with access to payslips, approval workflows and audit trails so data stays consistent across HR and payroll. The phrase ‘virtual employee assistant’ appears here because the assistant acts as a persistent […]
Marianne DavidAI and the Future of HR
The phrase ‘virtual HR assistant’ covers a spectrum: from conversational AI agents that answer employee queries to staffed virtual HR assistants delivering administrative support. Buyers must distinguish platform capabilities (integrations, workflows, audit logs) from staffing models (offshore human VAs vs onprem or cloud AI assistants). Who should read this guide? This guide targets HR directors, […]
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