One Platform Was Never the Plan: Leading in a Multi-Agent, Multi-Vendor Reality
AI is becoming more fragmented. How do you make multiple models, platforms and agents work together - without adding complexity or losing control. Join us in NYC for a candid discussion with leaders navigating it firsthand.
The enterprise AI stack was never going to be simple.
AI stacks are getting more complex - not simpler.
Most organizations are already working across multiple models, platforms, vendors, and agent tools. The challenge now is figuring out how to make all of it work together - without creating more complexity, losing control, or getting locked into the wrong platform.
Join us in New York for a candid, peer-to-peer discussion with leaders navigating these decisions in real time.
The Conversation
We'll start with where everyone is today.
How many AI and agent tools are you actually using? Is that number still growing, or are you starting to consolidate?
Was using multiple vendors a deliberate choice, or did it just happen? And what are you finding works better - a few larger platforms or a mix of specialized tools?
From there, we'll dig into what this looks like in practice.
How are you thinking about business processes versus agent-driven processes?
What's the most complex workflow you've built, and what did you learn along the way?
We'll talk about:
- Where agents and systems are successfully working together - and where there's still plenty of "duct tape".
- How much control leaders are willing to give up to make these systems work.
- Open vs commercial models, cloud vs on-prem, and what that means for IP and vendor lock-in.
- The platform decisions leaders would make differently if they were starting again.
- Who should actually own orchestration - IT, a platform team, or the business?
- How teams and technology need to evolve as AI workflows become more complex.
And we'll close by looking ahead:
What's one investment you've made this year that you think will look smart two years from now?
And if you could give one piece of advice to a peer just starting to connect or consolidate their AI stack, what would it be?
Join the Conversation
There won't be one-size-fits-all answer - and that's the point.
Come compare notes with peers, share what's working (and what's not), and leave with a clearer view of where orchestration is creating real value - and where it may just be adding complexity.
Register your interest below.