Automation and artificial intelligence (AI) promise to speed up planning, reporting, content generation, problem-solving, and more. But there are also common pitfalls to avoid if you want to emerge successful. Here’s the easy blueprint for organizing your AI initiatives, automation software, and practical advice for automation beginners.
How to get started with AI and automation
Artificial intelligence unleashes a bottomless supply of computer science tools into the business world. These generative AI tools are the same types of high-speed data crunchers that identify potential planets beyond our solar system and predict flight costs 300 days from now and are now available in sales, accounting, and marketing. Examples of AI ideas are wide-ranging:
- Answer complex customer questions
- Draft social media captions
- Perform customer research by summarizing frustrations and wants
- Surveil financial activities to detect fraud
- Predict supply chain disruptions
- Spot patterns in large data sets
- Process a large volume of documents and populate a spreadsheet with data points
No matter where in your organization you want to use AI and automation technology, there are four important steps to mapping out your plan. Here’s how to get started with AI:
Step 1: Identify the Right Processes to Automate
The first step in implementing intelligent process automation and AI is identifying the right processes to automate. Businesses should focus on repetitive, rule-based tasks that can be easily automated. This includes data entry, invoice processing, and customer service inquiries. You should prioritize processes that have the potential to deliver the most value, either in terms of cost savings, brand building, or improved customer experiences.
