KP Reddy

Outcomes matter...

Show me, don't tell me and why deleting PPT may be the first step.

KP Reddy's avatar
KP Reddy
Jun 22, 2026
∙ Paid

Welcome to the Outcomes based Economy

Walking the walk, and not talking the talk.


Isn’t this just “pay for performance”? We’ve tried that.

Kind of. But pay for performance historically failed because you couldn’t measure outcomes well enough to tie money to them fairly. Too many variables. Too much ambiguity about who caused what.

AI doesn’t fix the incentive problem. It fixes the measurement problem. When you can track, in real time, what decisions were made, by whom, and what they produced — the accountability conversation becomes possible in a way it wasn’t before. That’s the actual shift.


Does this mean hourly billing is dead?

Not tomorrow. But it’s on borrowed time.

Hourly billing persists because it protects the service provider from risk. The outcomes economy asks you to share that risk with your client. That’s a hard conversation if you’ve built your business around never having it.

The firms that figure out how to price outcomes — not hours — will have a significant advantage over the ones that don’t. The ones that wait for the industry to force them will get forced.


Construction is too complex for outcomes-based contracts. Too many variables outside anyone’s control.

This is the most common objection. It’s also how every industry defends the status quo before the model changes.

Medicine was too complex. Law was too complex. Financial services were too complex. All of them have had to develop new models for accountability.

“Too many variables” is real. It doesn’t make outcomes-based models impossible — it makes them harder to design. That’s a design problem, not a reason to give up.


What does this mean for me as a GC?

It means your clients are going to start asking questions you’ve been able to deflect. On budget? On schedule? Does it work the way we said it would?

The GCs who get ahead of this will proactively build outcome tracking into how they operate — not because a client forced them to, but because it becomes their competitive edge. “Here’s exactly what we delivered, and here’s the data” is a powerful sales tool.


What about architects and designers?

The design professions have the furthest to go on this, honestly.

The traditional model: you produce drawings, you get paid. What happens after that is largely someone else’s problem. But the building that gets built is the outcome — and increasingly, owners are going to want to understand the relationship between design decisions and project results.

This doesn’t mean architects should take on construction risk. It means the conversation about accountability for outcomes has to become part of the professional relationship, not something that disappears at permit.


How do you even measure outcomes in construction?

Better than you’d think. Schedule performance, budget adherence, defect rates, post-occupancy performance, change order volume, RFI response time, safety incidents — a lot of this data already exists. It just hasn’t been used to hold anyone accountable.

The harder question isn’t measurement. It’s: who controls the data, and who gets to see it? That’s a political question as much as a technical one. AI makes the technical part easier. The political part is still on you.


What’s the role of AI specifically? Is this just hype?

AI’s actual contribution here is measurement and attribution at a scale humans can’t do manually.

You can track what happened, when, who made the decision, what information they had, and what the downstream effect was. That creates an accountability infrastructure that didn’t exist before. It doesn’t make decisions for you. It makes it very hard to pretend a bad decision didn’t happen.

That’s not hype. That’s just good data.


This sounds like it puts all the risk on service providers. Who protects them?

Good question, and a fair one.

The outcomes economy doesn’t mean service providers absorb unlimited risk. It means risk is defined and priced explicitly, rather than quietly pushed onto clients through change orders and disclaimers.

A well-designed outcomes contract is clear about what’s in scope, what’s out of scope, what baseline conditions are assumed, and what happens when those conditions change. That’s actually better for everyone — including the service provider — than the vague language most contracts use today.


What’s the first thing I should do?

Figure out what you actually deliver.

Not what you bill for. Not your service description. What did your last three clients actually get? Were they better off because of your involvement? Can you prove it?

If you can answer those questions clearly, you’re already ahead of most of the industry.

If you can’t — that’s the work.


User's avatar

Continue reading this post for free, courtesy of KP Reddy.

Or purchase a paid subscription.
© 2026 KP Reddy · Privacy ∙ Terms ∙ Collection notice
Start your SubstackGet the app
Substack is the home for great culture