Agentic AI & MCP

Why Philippine Enterprises Are Betting on Connectivity as Their AI Advantage

Filipino enterprises are adopting AI at record rates, but the ones getting real value from it have figured out that...

Malaysia’s AI Transformation Requires a Modern Integration Stack

Malaysia’s digital economy is growing fast and AI investment is already committed. The integration layer underneath those initiatives will determine...

Enterprise AI in Indonesia: Why Most Enterprise Stacks Aren’t Ready for It.

Before Indonesian enterprises can capture the returns from AI investment, the integration infrastructure beneath those initiatives needs to be addressed....

Why AI Agent Governance Can’t Be an Afterthought

Most organisations are repeating the same mistake with AI agents that they made with APIs and integrations — putting governance...

Workato co-builds the first MLPerf Enterprise Agentic Inference Benchmark with AMD, Intel, NVIDIA, and MLCommons.

MLPerf Agentic Inference Benchmark is the first of its kind to measure agentic AI performance across real enterprise business processes....

Introducing Workato Labs: Built for Developers and Their Agents

Today we’re introducing Workato Labs: a home for experimental, open-source developer tools that bring Workato into modern AI-native workflows. Whether...

Workflow Automation Philippines (2026): Enterprise Guide

The term covers two completely different things — a $20/month app connector and an orchestration layer running a 4,000-seat BPO....

How to Make AI Agents Execute Across the Enterprise: Orchestration, Governance, and Architecture

How to Make AI Agents Execute Across the Enterprise: Orchestration, Governance, and Architecture On June 10, Workato hosted Work^AI at...