Software Engineering Insights

Accounting has always been about precision and timeliness. But for decades, these goals have conflicted with each other. You could have accuracy if you invested enough time, or you could have speed if you accepted a margin of error. Today, AI in accounting software is changing that equation entirely.

OpenAI’s ChatGPT has grown far beyond a chatbot. It’s now a powerful interface for building workflows, automating tasks, and launching custom GPTs designed for real business needs.

With OpenAI launching ChatGPT as the operating system for next-gen apps, entire workflows could now be automated with simple conversations. As ChatGPT handles over a billion prompts daily, one thing is sure: people want to talk to technology, not wrestle with it.

The EU Data Act became applicable on September 12, 2025, establishing requirements for applications that generate or process data from connected devices and digital services. App developers serving users in the European Union must implement these requirements to maintain legal compliance and European market access.

The shift from automation to autonomy is happening quickly, and the frameworks you choose today will define how your systems think, adapt, and scale tomorrow. 

With Gartner forecasting that agentic AI will be embedded in 40% of applications by 2026, up from under 5% in 2023, it is clear that agentic intelligence is moving from experimental to essential. The question isn’t if you need to use agentic AI but how soon and how effectively you can deploy it in your systems.

You’re surrounded by data like sales numbers, supply chain updates, and performance metrics, all streaming in from different fields in your system. This data holds powerful insights, but when it’s scattered across departments and platforms, it becomes hard to connect the dots and make faster, confident decisions.

Have you observed a change in customer service with some of the large e-commerce stores lately? When we need help regarding an order, the customer service is handled by chatbots or AI instead of a human assistant. We even get a personalized recommendation on the website. When we want to return an order or report about it, an AI agent in retail service asks a few questions and resolves the issue right there in 30 seconds. 

The pace of the software development cycle today is relentless. In agile-driven organizations, releases happen every now and then, sometimes even multiple times a day. 

For years, we have relied on traditional testing: painstakingly written, updated, and maintained to ensure quality. But now, AI-powered testing agents have come to the rescue, and they are changing the game completely. 

The healthcare industry is walking a tightrope: driving innovation, enhancing patient outcomes, and streamlining operations, all under the weight of rising operational costs, workforce shortages, and ever-evolving healthcare regulations. In this high-stakes environment, AI in Electronic Health Records (EHRs) is emerging not as a mere technological enhancement, but as a strategic differentiator.