Teams | Collaboration | Customer Service | Project Management

IT leaders find themselves in a tough spot. Senior stakeholders want to cut costs and reduce risks. But employees are sprinting towards new technologies like AI, leaving compliance departments in the dust. “The curiosity is huge,” said Miro’s Bram Jonker in a recent webinar on tool consolidation with Forrester VP and principal analyst Bobby Cameron. “They want to make use of the latest tools that are out there that everyone is talking about,” he continued.

Timesheets don’t lie. Until they do. An early punch here, a missed lunch there. A claim of weekend hours with no record. Suddenly, you’re less of a manager and more of a gumshoe, piecing together clues to figure out what really happened during the last pay period. That detective work costs time and money. Every fuzzy entry or missing timestamp creates room for disputes, inflated payroll, or compliance risks.

Like many of us, I’ve been curious about whether AI can actually take on real work. Not just write snippets of text or answer questions, but actually do things inside SaaS tools. So after a few nights of very bad sleep recently, I decided to put that curiosity to the test and see if AI could take over dashboard-building duties for me. If I wasn’t firing on all cylinders, maybe ChatGPT’s recently-launched Agent Mode could pick up the slack and build a dashboard for me using Geckoboard.

Whenever the words employment, employers, and employees come to mind, we usually think of the 9-to-5 work commitment with weekly, yearly, or monthly pay with bonuses. However, that’s only from the perspective of an individual student or employee. From a business’s perspective, there are various types of employment with varying work hours, payment types, and requirements.