Process Automation: What It Is and How to Get Started

By Okun Data · March 23, 2026 · 8 min read

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Companies that still rely on manual processes in 2026 are competing with one hand tied behind their back. Not because automation is a trend, but because the volume of data, the speed of markets, and margin pressure make repeating tasks by hand simply unsustainable. This guide explains what process automation is, which tools are available, and how your company can get started today — without being a multinational corporation.

What Is Process Automation?

Process automation is the use of technology to execute repetitive, structured, rule-based tasks without constant human intervention. Instead of having someone download a report, copy it into a spreadsheet, format it, and email it every Monday morning, that entire workflow runs automatically at 8 AM without anyone touching it.

It's important to distinguish between partial and full automation. Partial automation removes some manual steps from a process while keeping human decisions or validations at key points. Full automation runs the entire workflow from start to finish without intervention. For most mid-sized businesses, partial automation is the realistic and highest-impact first step.

Why is this urgent right now? The accelerated digitalization of recent years created a paradox: companies have more data than ever, but the manual work of processing that data has also grown. The result is that teams are overwhelmed with low-value operational tasks when they should be interpreting information and making decisions. Automation breaks that vicious cycle.

Types of Automation: RPA, BPM, and More

There is no single way to automate processes. Depending on the complexity, the systems involved, and the goal, different approaches apply:

RPA (Robotic Process Automation)

RPA uses software robots that mimic the actions a human would take in a system: clicking, entering data, copying information from one system to another, downloading files, filling in forms. The key advantage of RPA is that it does not require modifying existing systems. The robot works on top of the user interface, exactly as a person would.

The most well-known RPA tools are UiPath, Automation Anywhere, and Microsoft Power Automate (in its desktop automation mode). UiPath and Automation Anywhere are enterprise-grade solutions with advanced capabilities for complex, large-scale processes. Power Automate, on the other hand, is the most accessible option for companies already using the Microsoft ecosystem.

BPM (Business Process Management)

BPM goes a step further: rather than just automating tasks, it manages and optimizes the complete flow of a business process — including business rules, the people involved, response times, and exception handling. Platforms like Microsoft Power Platform, Appian, or Pega allow organizations to model full processes and execute them in a controlled, auditable way.

Report Automation with BI

One of the highest-impact automations for data-driven businesses is combining Power BI with Power Automate. This native integration allows, for example, a scenario where a KPI crosses a threshold in a Power BI dashboard and automatically triggers an alert via email or Teams, generates a PDF report, and shares it with the relevant stakeholders — all without human intervention, without delays. To learn more about how automated reporting saves time, read our article on how to reduce reporting time.

When to use each approach: If the process involves legacy systems or desktop applications, RPA is the answer. If you need to manage approval workflows and complex business rules, BPM is more appropriate. If the focus is on data and reporting, the Power BI + Power Automate combination is the most direct path.

Most Used Tools for Process Automation

The automation tools market has grown enormously in recent years. Here are the most relevant options for mid-sized businesses:

• Microsoft Power Automate: This is the tool we recommend for most of our clients. It has native integration with the entire Microsoft 365 ecosystem: Teams, SharePoint, Excel, Outlook, Dynamics 365, Power BI, and Azure. It lets you build automated flows without writing code, using a visual drag-and-drop interface. For companies already using Microsoft, the marginal cost of adding Power Automate is very low, and the impact can be substantial.
• Zapier: Ideal for quickly connecting web applications without code. It connects over 6,000 apps: Salesforce, HubSpot, Google Sheets, Slack, Mailchimp, Trello, and many more. Very easy to use and perfect for simple automations between SaaS tools.
• UiPath: The most robust enterprise RPA solution on the market. Best suited for complex processes involving multiple systems, high transaction volumes, and strict audit requirements. Requires more investment in implementation and training.
• Make (formerly Integromat): A Zapier alternative with greater flexibility for complex flows and a more accessible pricing model for growing businesses. Provides a clear visual map of how data moves through the workflow.
• Python scripts: For more complex automations requiring data transformations, batch file processing, or integrations with specific APIs. Requires technical knowledge but offers maximum flexibility. Widely used by data analysts to automate data pipelines.

Our recommendation for companies already working with Microsoft: starting with Power Automate integrated with Power BI delivers the best return on investment and the shortest adoption curve.

Processes You Can Automate Right Now

One of the most common mistakes when thinking about automation is believing that a large-scale project is needed before anything can begin. In reality, dozens of everyday processes can be automated in a matter of hours:

• Periodic report generation: Weekly or monthly reports that someone currently prepares manually can run on their own. Power Automate can trigger a Power BI dataset refresh, generate a PDF report, and send it by email every Monday at 8 AM.
• Automatic notifications and alerts: When a KPI crosses a threshold — sales below target, minimum stock reached, cost deviation detected — Power BI + Power Automate can send an immediate alert to the responsible party via Teams or email.
• Data loading between systems: Automatically syncing data between your CRM, ERP, and BI platform eliminates manual double-entry and transcription errors. Learn more in our article on how to connect your CRM to Business Intelligence.
• Document approvals: Invoice approval flows, purchase requests, or contracts that currently circulate by email can be managed with Power Automate, with a full record of who approved, when, and from which device.
• Automatic email responses: Classifying and sending initial responses to incoming inquiries based on request type, automatically routing them to the correct department.
• Billing and accounting reconciliation: Automatically generating invoices from confirmed orders and reconciling them with accounting system records.
• Client report distribution: Personalized reports per client, automatically generated from Power BI and delivered on a scheduled basis.

Concrete, Measurable Benefits

Process automation is not a leap of faith. Results are measurable from the first weeks of implementation:

• Reduction in human errors: Typos, incorrect data copying, and oversights can be reduced by up to 90% when manual intervention is removed from repetitive tasks.
• Time savings: Depending on the process, automation frees up between 2 and 10 hours per week per automated process. In a team of 10 people each saving 3 hours per week, the annual impact is over 1,500 recovered productive hours.
• Faster processing speed: A software robot never gets tired, never takes breaks, and processes information in seconds. A process that used to take 2 days can complete in minutes.
• Scalability without hiring: If transaction volume doubles, an automated process scales without needing to hire more people for that task.
• Traceability and auditability: Every automated execution is logged: what was done, when, with what data. This is invaluable for audits, compliance, and error analysis.
• Employees focused on higher-value work: When people stop doing repetitive tasks, they have time to analyze, innovate, serve clients, and make better decisions.

How to Get Started: The First Steps

Implementing automation does not require tearing everything down and starting from scratch. A gradual, well-structured approach is the key to success:

1. Map your current processes: Before automating, you need to understand which processes exist, who runs them, how long they take, and how often they repeat. A simple one-day discovery session can reveal enormous opportunities.
2. Identify the most repetitive and critical ones: Selection criteria should combine frequency (processes that run daily or weekly), volume (those consuming the most time), and criticality (those where failure has the highest impact). Periodic reports and data loading between systems are ideal candidates to start with.
3. Choose the right tool: Not all tools fit all contexts. The choice depends on your current technology stack, available budget, and process complexity. For Microsoft-based organizations, Power Automate is the natural starting point.
4. Run a pilot with one process: Starting with a single, well-defined process allows you to learn without risk. A successful pilot builds internal confidence and demonstrates the value of automation before scaling.
5. Scale progressively: Once the approach is validated, expand to more processes. The experience from the pilot allows each subsequent automation to be faster and more confident.

At Okun Data, we guide companies through every one of these stages — from the initial discovery through implementation and monitoring of automated processes. If you want your company to start operating with greater efficiency, the first step is a conversation with our team.

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