Promenaut
If every employee at your company became instantly faster tomorrow, would the company actually move any faster?
Most leaders' first instinct is yes.
That instinct is usually wrong. The reason why is one of the more interesting design problems in enterprise AI right now.
Speed isn't something one person generates and keeps. It has to travel: through a manager's queue, a compliance review, an approval chain, a dozen other people and systems before it ever becomes a finished decision.
Making one step faster doesn't change how fast the rest of that journey moves. The output just arrives at the next stop sooner, and waits there instead, next in line behind work that was never the bottleneck to begin with.
Take an analyst who used to spend a week on a report. She finishes it in minutes now, with an AI agent. Great news for her. Less great news for the manager who's booked solid until six, the compliance queue already working through forty requests ahead of hers, and the approval chain that was never built to move at agent speed in the first place. Her work got faster. The company didn't.
Now multiply that across every team in the company. Same story, different desk. Individual speed adds up to very little at the organisational level if everyone's funneling into the same unchanged approval chain.
There's a name for this in systems thinking: constraint migration. AI doesn't eliminate a bottleneck. It relocates it, usually to whichever part of the process wasn't built to move at the new speed.
That reframes the real question. It's not how do you make people faster, plenty of tools already do that well. It's what does an organisation need to look like for that speed to travel all the way through, instead of stalling at the first handoff it hits?
That's a different kind of design problem. It means treating the full workflow, drafting, review, approval, every step, as one coordinated system of humans and AI agents working together, instead of optimising each piece on its own.
This is the layer Promenaut was built for. It takes the full chain, the manager, the compliance review, every approval, every agent, and runs it as one coordinated system, so work keeps moving the moment it's ready instead of waiting in line.
HSBC already runs on this. One of the most heavily regulated banks in the world is redesigning its own workflows around a hybrid workforce of humans and agents, built so the whole process moves faster together instead of resetting at every handoff.
Constraint migration isn't a problem you solve once. It's the next decade of business: companies rebuilding their workflows for an AI world, one constraint at a time. The ones who pull ahead will be the ones who get the best at finding that next constraint and fixing it, faster than everyone else.
Entrepreneur, technologist and founder. My background combines deep technical roots with real-world operational leadership. I’ve held senior and C-level roles at Goldman Sachs, Merrill Lynch, HSBC, and BTG Pactual, and operated across the world’s key financial centers -New York, São Paulo, Hong Kong, and London. Now focused on advising, investing in, and launching new ventures - particularly where AI, developer productivity, and financial innovation intersect. I bring a builder’s mindset, proven execution across multiple markets, and a strong global network of investors, founders, and enterprise leaders.
