The Future of Work
The economics of human and AI coordination, the real cost of automation, and what happens to the people who hold an organization together. Enter SignalOS™ with a demo that puts it to the test.
Big data and intelligence have become commodities at most companies today. They often miss finding, coordinating, and directing the most important signals to the right leaders to act in time.
Of the roughly $15 trillion the US pays in wages, about $3 trillion sits in the coordination layer AI is starting to rewrite. This session unveils, for leaders, the capabilities relating to the new category called Systems of Attention: applied to costs, efficiencies, and decisions of the evolving human + AI workforce
- A multi-million-dollar assumption that breaks 12 weeks in.Company plans and stated strategies rest on assumptions where underlying signals are unwatched. See how one turns from safe to wrong, and the speed of it being discovered.
- Where the best option was the most expensive.The number on the surface and the number you actually pay are rarely the same. See how the real cost of a decision gets exposed in the room, before anyone commits to it.
- 47 minutes for a $10M decision that usually takes weeks.There's CFO pushback on a key call while the regulatory clock is running. All at a new level of speed for enterprises today.
- What happens when there is no historical pattern?A session attendee puts a genuinely new scenario to our panel, one with no precedent. The answer will surprise you.
- “I told it my bunion hurt. It said get an MRI.”A candid exchange on what consumer AI is already doing to healthcare cost and demand, and the question it raises about how care will be coordinated in the future.
- The payers outran the S&P for years. Then 2024 happened.The contrarian case is made for which health plan rebuilds around AI fast enough to pull ahead, and why the window to do it is closing.
Key moments from the session
Four short clips pulled from the hour, for anyone who wants the ideas without the full replay.
The Price of Every Decision Is Attention: Talent, Tokens, and the Case for Signal Ops
What does a decision actually cost? Raj Ronanki's answer is attention, ahead of compute or labor, and he builds Signal Ops around it to run people and AI agents as one workforce.
Watch on YouTube →
Data Tells You What Happened. A Signal Tells You What to Do.
A forecast that says rain within the hour tells you to grab an umbrella, and that instinct to act is what separates a signal from raw data. Raj Ronanki builds a fourth category of enterprise software on that difference and shows where it sits above the systems most companies already run.
Watch on YouTube →
AI Won't Kill $3 Trillion Middle Management: It Will Reimagine It
AI is about to hollow out the middle of the org chart, the roughly $3 trillion coordination layer that routes work and sets priorities. Raj Ronanki explains why those jobs change shape instead of disappearing.
Watch on YouTube →
$4 Trillion in US Healthcare Labor: Which Payer Will Get AI Coordination Right?
US healthcare spends about $4 trillion a year on labor, and more than $1 trillion of that goes to coordination, much of it clinicians buried in paperwork. Art Fitts explains why the biggest payers outran the S&P until 2024, and makes the contrarian case for which one could become a trillion-dollar company by rebuilding around AI.
Watch on YouTube →Watch the SignalOS™ demo from the session
The centerpiece of the hour. GM and financial industries expert Jeff Klebanoff takes Meridian Regional Bank through a single workforce decision inside SignalOS, start to finish. The CFO, CRO, and CTO get pulled in to weigh three options, and the number they land on comes in 47 minutes vs. weeks later. This is the part most attendees rewatch.
See SignalOS™ run on your workforce plan.
Every plan rides on a handful of assumptions no one is watching. Point SignalOS at yours, and we will show you which ones are already moving, and what it would cost to find out the hard way.