From automation to intelligent workflows.
You already know how Microsoft Power Platform can help digitise processes, automate repetitive work and connect business data.
But the way organisations work is changing again. Artificial Intelligence (AI) is becoming part of business applications, automation and AI agents, creating new opportunities to make workflows more intelligent.
So the question is no longer only: “How can we automate this process?”
It is becoming: “Can the system understand the information, help the employee and take the next action too?”
58%
of AI users in Malaysia say AI is helping them produce work they could not have produced a year earlier.
86%
say they still treat AI output as a starting point rather than the final answer.
You Already Know Automation
If you have learned Power Platform, you already understand how to digitise a process, connect data and automate repetitive steps.
Maybe you have already built an approval workflow. Maybe you have created an app for your team. Maybe you have automated notifications, data updates or routine tasks.
That is a big step forward.
But ask yourself: is automation enough when a process needs more than a fixed rule?
Automation Can Act. But Can It Understand?
Traditional automation is very good at following rules.
IF X HAPPENS
DO Y
For example: an invoice arrives ➤ send it for approval.
But real business processes are not always that simple. Sometimes the system needs to read a document, understand what it contains, summarise information, classify a request or respond to a question before the next action can happen.
That is where Artificial Intelligence(AI) starts to change the workflow.
Instead of only executing predefined actions, AI can help a business system understand the information it receives before determining what should happen next.
This Is Where AI Changes the Workflow
Artificial Intelligence(AI) does not have to replace automation. Artificial Intelligence(AI) can add another layer of intelligence to an existing automated process.
AUTOMATION
“What should happen when X happens?”
AI
“What does this information mean?”
AI + AUTOMATION
“Understand it → decide what happens next → take action.”
The goal is not to remove human judgement. It is to decide which parts of a process should be handled by people, which should be automated, and where AI can add useful intelligence.
What if AI Could Read the Invoice?
Imagine Finance receives an invoice. Traditionally, someone may need to open the document, find the supplier name, invoice number and amount, then enter that information into another system.
Invoice received ➤ AI reads it ➤ Information extracted ➤ Workflow starts
For example:
- Supplier: ABC Sdn Bhd
- Invoice No.: INV-23881
- Amount: RM12,500
AI Builder can support document processing scenarios such as extracting information from invoices and purchase orders, working with Power Apps and Power Automate. This allows Artificial Intelligence(AI) and automation to play different roles within the same business process.
Traditional automation: moves information.
AI-enabled automation: can help understand the information before the next step.
What if Employees Could Simply Ask?
HR may already have the answer to questions such as:
“How do I submit my claim?”
“Where is the travel policy?”
“Who needs to approve my request?”
The information exists. The problem is that employees still need to find it, email someone or wait for a reply.
The information exists. The problem is that employees still need to find it, email someone or wait for a reply.
Employee asks ➤ AI Agent responds ➤ Process can continue
Copilot Studio allows organisations to build custom agents around business scenarios. Agents can also connect to Power Automate to perform actions.
51%
of Malaysian leaders said they were already using agents to fully automate workstreams or business processes.
From Automating a Step to Connecting the Workflow
Once Artificial Intelligence(AI) becomes part of the process, the opportunity gets bigger. The goal is no longer to automate one isolated step. It is to connect the different parts of the workflow
A simple example: Purchase Request
Excel ➤ Email ➤ Manager Approval ➤ Finance ➤ Procurement ➤ More Email
Now imagine a connected solution:
- Power Apps — the employee submits the purchase request through an internal app.
- Dataverse — the request is stored as structured business data.
- Power Automate — the appropriate approval workflow begins automatically.
- AI — can help interpret, summarise or process business information.
- AI Agent — the employee asks, “What is the status of my purchase request?” instead of emailing Procurement.
APP ➤ DATA ➤ AUTOMATION ➤ AI ➤ AI AGENT
Now the organisation is not just automating a task. It is connecting the workflow.
But Where Should AI Actually Fit?
Connecting a workflow does not mean adding AI to every step.
The real question is not: “Where can we put AI?”
It is: “Where can AI actually make the workflow better?”
That is where the conversation moves from automation to intelligent automation.
The Real Skill Is Knowing Where AI Fits
Adding Artificial Intelligence(AI) does not automatically make a process better.
Start with the business problem. Then decide where AI can add genuine value.
- Where are employees repeatedly entering information?
- Where are teams answering the same questions?
- Where are people constantly searching for information?
- Where does a process stop because someone needs to manually read or interpret something?
Sometimes Power Automate may be enough. Sometimes AI Builder could help. Sometimes an AI Agent makes sense. And sometimes the best solution may not require AI at all.
You Don’t Need to Start From Zero
If you already know Microsoft Power Platform, you already have the foundation. The next level is not simply learning another feature.
It is learning how to look at a business process and decide where automation, AI and human judgement should work together.
- What should people do?
- What should automation do?
- Where could AI help?
- Where should human judgement remain?
The Skills Around Work Are Changing Too
39%
of workers’ existing core skills are expected to change by 2030.
77%
of employers plan to reskill and upskill their workforce in response to AI and other changes affecting work.
As Artificial Intelligence(AI) becomes more integrated into business applications and workflows, knowing how to use AI alongside existing automation skills can become increasingly valuable.
The opportunity is not only to learn how AI works, but to understand where and how Artificial Intelligence(AI) can be applied to real business processes.
So, What Should You Learn Next?
You do not have to learn everything. Start with the capability that matches the next problem you want to solve.
I want to make my automation smarter.
➤ AI Builder Essentials: Build Smarter Solutions with Intelligent Automation — BEPL-105
Explore AI-powered document and image processing with Power Apps and Power Automate.
I want to build AI agents for workplace scenarios.
➤ Create Agents in Microsoft Copilot Studio — PL-7008
Explore conversational and autonomous AI agents for workplace scenarios.
I want to connect apps, data, automation, AI and agents.
➤ Build Intelligent Applications — AB-410T00
Explore how apps, business data, automation, AI and agents can work together as an intelligent business solution.
From “How Can We Automate This Task?” to “How Should This Work Be Done in the Future?”
That is the bigger opportunity in Microsoft Power Platform.
Power Apps can give employees better ways to perform work. Power Automate can remove repetitive steps. AI Builder can help systems recognise and process information. Copilot Studio can help people interact with AI agents. Dataverse can provide the business data connecting these experiences.
Together, these capabilities create an opportunity to rethink how work gets done.
For professionals who already understand Power Platform, Artificial Intelligence(AI) is not necessarily a completely new starting point. It can be the next layer of capability built on top of what you already know.
