AI for performance management: Scaling coaching, automating reviews & driving measurable growth

2 AI-driven Performance Coaching & Micro-learning

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 […]

AI cho tương tác nhân viên năm 2026: Từ chatbot đến dự đoán giữ chân nhân tài

AI cho tương tác nhân viên năm 2026: Từ chatbot đến dự đoán giữ chân nhân tài

Between 2024 and 2026 the economics of AI shifted: cheaper compute, robust HRIS integrations and rising employee expectations for consumergrade experiences make this a turning point for people teams. Organisations can now deploy conversational assistants and prediction models at scale while integrating them into payroll, LMS and casemanagement systems. Expected benefits include faster insights at […]

The future of work in Sri Lanka: 2026 and beyond

The future of work in Sri Lanka: 2026 and beyond

Sri Lanka’s workforce has undergone one of the most defining transformations in its modern history. The country’s economic crisis, which intensified between 2021 and 2022, culminated in the country’s first-ever sovereign debt default in April 2022. Severe foreign exchange shortages, spiralling inflation, fuel and energy disruptions, and sharp currency depreciation brought both public institutions and […]

How to use AI to improve team performance: The manager playbook

11 How to use AI to improve team performance — manager playbook

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, […]

Here’s how to use AI for performance reviews

Here’s how to use AI for performance review

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 […]

Performance management automation: Tools and best practices

9 Performance management automation tools & best practices

Performance management automation addresses three converging pressures in 2026: distributed hybrid teams at scale, rising expectations for continuous feedback, and constrained HR bandwidth. Automating repeatable tasks speeds review cycles, ensures consistent evidence capture and frees managers to spend time coaching rather than compiling paperwork. The business case for automating performance reviews Faster cycles: automation shortens […]

AI trong quản lý hiệu suất: Hướng dẫn toàn diện 2026

8 AI in performance management

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 […]

AI for employee engagement: The complete guide

7 AI for Employee Engagement The Complete Guide

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 […]

Trí tuệ nhân tạo có khả năng tự chủ trong trải nghiệm nhân viên: Rủi ro và việc sử dụng có trách nhiệm

6 Trí tuệ nhân tạo chủ động (Agentic AI) trong trải nghiệm nhân viên — Rủi ro và việc sử dụng có trách nhiệm (1)

Trí tuệ nhân tạo chủ động (Agentic AI) trong lĩnh vực trải nghiệm nhân viên đề cập đến các hệ thống có khả năng chủ động đề xuất và thực hiện các hành động thay mặt cho nhân viên hoặc đội ngũ nhân sự, đồng thời duy trì thông tin trạng thái và bối cảnh xuyên suốt các tương tác, thay vì chỉ đơn thuần trả lời các câu hỏi riêng lẻ. Hướng dẫn này so sánh các trợ lý phản ứng (chỉ cung cấp thông tin) với các hệ thống có thể đề xuất các phương án hoặc hành động một cách tự chủ, đồng thời đưa ra một phương pháp thực tiễn […]

MiHCM’s MiA ONE: The unified AI employee experience app

5 MiA ONE blog Jan 2026 (1)

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 […]