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Microsoft's Agent Framework and the rise of agentic AI for hedge funds
AI Strategy

What Are AI Agent(s)? hint: it's the plural

By Chris Hobbick, Director of Sales

You've probably heard the term AI agent floating around and maybe rolled your eyes because it sounds like another buzzword. Let's strip away the jargon and walk through it step by step because understanding where AI is today vs. where it's going will completely change how you think about it.

Watch our team discuss AI agents

Join Ben, Mags, and Hobbs as they explore the evolution of AI from assistants to agents

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Yesterday's Tools: The Age of Assistants

When ChatGPT came out, it changed how we work overnight.
Suddenly, we could brainstorm faster, summarize reports, or write cleaner emails all in seconds.

But here's the thing: you were still doing the work.
You had to copy, paste, ask, re-ask, and double-check.
ChatGPT is like a brilliant intern, it helps you think faster, but you still have to drive.

Maybe you even connected it to a few data sources or scheduled a task or two.

Today's Copilots: The Age of Consistency

At Audition AI, we call these Persona Agents.
They're like copilots that sit beside you not just answering, but thinking with context.

Here's the secret: every copilot (or "persona agent") is built on four pillars:

  1. Temperature — controls creativity and risk tolerance.
  2. Model Selection — decides which brain to use for each task.
  3. System Prompt — defines the agent's personality, tone, and focus.
  4. Integrators (MCPs) — connect the agent to your actual data: Outlook, OneDrive, Teams, and more.

Together, these pillars turn a chatbot into a digital teammate that's consistent, compliant, and on-brand.

If you've built one of these inside Audition AI, congratulations, you've already made an agent.

A singular one.

Tomorrow's Agents: The Age of Delegation

Now imagine taking it a step further.

Instead of talking to one assistant, you have an AI team each agent with a defined role.
You tell your "boss agent" what you want done:

"Summarize last week's filings, run the deltas, and send me a morning brief."

That boss agent then delegates to your junior agents:

  • One pulls the filings,
  • Another runs sentiment analysis,
  • A third formats and emails the summary.

You come in the next morning and it's all done.

That's what's coming to Audition AI in the next few weeks — a true multi-agent system where your copilots don't just help you think, they accomplish outcomes.

Why This Matters

It's the next logical step in how we work.

  • Yesterday: You did everything manually.
  • Today: You collaborate with copilots.
  • Tomorrow: You delegate to agents.

The Bottom Line

Agentic AI doesn't mean you'll never open Excel again.
It means the 80% of repetitive, time-sucking tasks like reconciling trades, summarizing filings, or formatting reports can finally run themselves.

Audition AI has already built this.
For all the nerds paying attention, Microsoft just released a free open-source toolkit basically a blueprint for how to build AI agents.

But here's the kicker: while others are just starting to tinker with the instructions, Audition AI is already running the finished product securely, inside your Microsoft tenant, with governance and orchestration baked in.

So if you're sitting in your next strategy meeting thinking,

"We should probably check this out…"

you're right.

Go run to your decision maker and tell them:

"We need to check out Audition AI."

Watch Our Team Discuss This Topic

Join Ben, Mags, and Hobbs as they break down the evolution from AI assistants to copilots to true multi-agent systems—and why Audition AI has already built what others are just starting to tinker with.

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