News of the day
1. AI agents are poised to replace traditional dashboards, offering direct answers and proactive insights, fundamentally changing enterprise software interaction → Read more
2. OpenAI's head of model policy, Andrea Vallone, is leaving, raising questions about AI's handling of mental health crises → Read more
3. GitHub and Microsoft integrate AI to combat security debt, connecting runtime data to developer workflows for faster, prioritized vulnerability fixes → Read more
4. Europe has the talent and infrastructure to capture a €1.2 trillion AI economic prize by focusing on skills and harmonizing regulations → Read more
Our take
Hi Dotikers!
Opening five different applications, navigating between dashboards, copying and pasting data into Excel to answer a business question. This scenario remains the daily reality for many teams.
AI agents promise to change the game.
Enterprise software was built around siloed systems (CRM, ERP, HCM), each with its own interface and limitations. The result: a maze of data silos that forces users to adapt to the software, rather than the other way around.
The promise of agents: an end to dashboards with 30 filters. Which deals are at risk this quarter? Why is churn increasing? The agent finds the data, analyzes contributing factors, and recommends actions. Where traditional dashboards show that numbers go up or down without explaining why, agents can do just that.
That said, should we replace everything?
A static dashboard remains relevant for metrics viewed daily. No need to mobilize GPUs to display monthly revenue or the number of open tickets. It's a waste of resources for simple queries.
The real challenge is finding the right balance: traditional dashboards for recurring monitoring, AI agents for complex analysis and ad hoc questions.
A.
