AI isn’t taking suggestions anymore. It’s taking action.
The newest generation of tools doesn’t just draft emails or summarize documents. It completes tasks. Opens accounts. Drafts emails. Reconciles complex data. Prepares trades.
For most businesses, that’s incredibly productive.
For RIAs, it’s a little more complicated.
AI’s shift from assistant to agent isn’t a small promotion–it’s a categorical change.
And while we all hope AI agents show up in work, we all *don’t* want to do like:
These are exactly the kinds of tasks where mistakes carry real consequences.
The difference between “helpful” and “risky” is not the agent itself.
It is what sits around it.
Before any system takes action on behalf of your firm, three things need to be clear:
Who authorized it?
What kind of action is it taking?
And what record does it leave behind?
Without those answers, you are not automating work. You are introducing risk.
And that is where we noticed most general-purpose AI tools fall short.
They can execute tasks, but they don’t understand firm structure, workflows, or obligations. They treat every action the same without accounting for approvals, supervision, or audit trails.
That might be fine for internal productivity.
It does not work in a fiduciary business.
So, when we talked about creating Praktikant, we wanted to approach this pain point differently for our industry.
Instead of focusing only on what the AI can do, Praktikant focuses on how that work is controlled. Actions are scoped. Higher-risk tasks require approval. Every step is captured and recorded.
Our goal isn’t about making AI more powerful–it’s about making it accountable, too
