Teams | Collaboration | Customer Service | Project Management

I’m TJ Power, a neuroscientist, no.1 bestselling author of The DOSE Effect, and the founder of DOSE Lab. Over the last 12 months, my team and I have been laser focused on a new question: how can we help society build successful brains that are ready for the AI future? Recently, with Asana, I hosted a series of dinners in Sydney and Melbourne for C-suite executives.

“How much PTO do I have left?” “Where can I find my latest payslip?” “Am I eligible for this benefit?” These are simple employee questions, but resolving them can mean checking the HRIS, searching policies, retrieving live data, chasing approvals, and updating records. At scale, that administrative work adds up.

A booked meeting creates an opportunity, but it does not preserve the context that produced it. The prospect may have responded because of a specific operational problem, recent company change, timing signal, or message from an SDR. If that context disappears before the account executive joins the call, the prospect has to repeat information or explain why they agreed to speak in the first place. The sales process already feels less precise.

HR teams have no shortage of AI tools in 2026. The harder question is which ones can actually help employees get HR work done. Many platforms can summarize a policy, answer a benefits question, or generate an HR response. Fewer can understand an employee's request, retrieve the right information, connect to live HR systems, take an approved action, route an approval, and involve HR when human judgment is required. That distinction matters when evaluating the best AI agents for HR.

It's a familiar story. A social worker gets a message from a client on a Saturday. A family needs to move a home visit. A colleague forwards a photo of a document that has to be dealt with before Monday. None of it goes through an official system. All of it goes through WhatsApp, because that is where the client already is, and because it works.

Most organisations can describe their hiring process in detail and their device process not at all. The laptop is ordered, it arrives at an address nobody has visited, and somewhere between the courier and the first standup a set of decisions gets made by whoever happens to be available. That is how a distributed team ends up with eleven slightly different machines.

Over the past year, many companies have moved from simply experimenting with AI to integrating it into their core business operations. From customer service and analytics to communication and workflow automation, AI is becoming an integral part of how modern organizations operate. Even companies in highly competitive digital markets, such as eSIM Plus, are increasingly looking for ways to use AI to make their products, services, and customer experiences more efficient.

Compliance is one of the four risks enterprises face in digital collaboration, and it's the one most directly tied to fines, legal liability, and regulatory scrutiny.