Topics

AI for business

117 articles · Page 1

This section collects articles on applying AI inside companies: workflow automation, business process automation and process mining, and the tools that support them, from no-code platforms and AI-powered CRM to enterprise AI systems and supply chain software. Coverage spans industries such as manufacturing and retail, and functions including operations management, customer experience, expense management, product launches and employee productivity. Articles weigh ROI against implementation challenges, change management and the organisational side effects of automation, and compare toolkits for small businesses, SMBs and startups as well as larger enterprises. Readers will find implementation guides, tool comparisons and assessments of where AI adoption delivers measurable gains and where it falls short.

Frequently Asked Questions

What is AI workflow automation?

AI workflow automation uses AI systems to carry out or coordinate steps in a business process that previously required manual handling. It is often combined with process mining, which maps how a process actually runs before deciding what to automate. Typical targets include repetitive operational tasks in areas such as expense management, customer service and supply chain coordination.

How is ROI measured on an AI implementation?

ROI is assessed by comparing the cost of tools, integration and change management against measurable gains such as reduced processing time, lower error rates or cost savings in a specific function. Because many benefits appear in operational metrics rather than revenue, a baseline measurement before deployment matters. Articles in this section examine both the returns companies report and the risks that erode them.

Can small businesses use AI without a technical team?

No-code AI tools let smaller companies configure automations and connect systems without writing software. Many CRM, expense and productivity platforms now include AI features by default, which lowers the entry barrier further. The main constraints for SMBs tend to be data quality, process clarity and the time needed to adapt working habits.