AI and automation

# AI for business: where automation adds value

How to choose a practical scenario, test a hypothesis and not automate an inefficient process.

Author **Editor MAWERSTIN**

Reading time **3 minutes**

MAWERSTIN / KNOWLEDGE **AI and automation**

At a glance 

**AI for Business: Where Automation Benefits.**  How to choose a practical scenario, test a hypothesis and not automate an inefficient process. Below is a sequence that helps move from general understanding to verifiable actions.

**01** Look for a recurring task

**02** Evaluate the quality of the output data

**03** Leave control to the person

01 / CONTEXT

## AI for Business: Where Automation Benefits: What’s Important to Understand First

It makes sense to implement AI in a specific operation: searching for documents, classifying inquiries or preparing a draft. Starting with the promise of automating the entire company is risky: without the original process, it is impossible to understand the cost of mistakes and the benefits of change.

01 

### Purpose

What business outcome needs to change and why is it important now.

02 

### Audience

Who is assigned the decision and what prevents the person from taking the next step.

03 

### Data

What facts will distinguish a real effect from a random change.

02 / ACTION PLAN

## Practical Work Plan on AI for Business: Where Automation Benefits

Go through the steps sequentially and save the output, solutions and test results.

- **1** 

### Describe the current process

Record the input data, the sequence of actions, the participants and the expected result. Separately flag the exceptions that the employee is currently handling manually.

- **2** 

### Select a measurement operation

Select a repeating task with the result being checked. Measure time spent and quality of current execution so the pilot has something to compare against.

- **3** 

### Assemble the limited pilot

Use a limited set of allowed data. Add human validation and a clear route in case the tool doesn’t know the answer or can’t perform the action.

- **4** 

### Compare the result and cost

Compare time, quality, cost of APIs and patches. Consider maintenance and data change: cheap model response does not always mean cheap workflow.

03 / RISKS

## Common mistakes and how to avoid them

- ✓ **Don’t confuse a goal with a metric.**  Views and clicks are only useful in relation to referrals and sales.

- ✓ **Do not introduce everything at once.**  Individual hypotheses are easier to test and compare.

- ✓ **Don’t lose context.**  The decision must take into account the company’s product, market, resources and constraints.

04 / FAQ

## Frequently asked questions on the topic

**Where to start?+**

From fixing the initial situation, the goal and one priority scenario that can be measured.

**When to evaluate the result?+**

After sufficient data and considering the decision cycle in your business.

**Can you do everything yourself?+**

Basic diagnostics — yes. For complex architecture, integrations or risks, specialized expertise is useful.

AI and automation 

## Need help with implementation?

Let’s analyze the initial situation, define priorities and propose a clear next step.

[Request a consultation **→**](https://en.mawerstin.com/contacts/)

Source: https://en.mawerstin.com/ai-for-business-benefit/