BEFORE YOU SPEND ANOTHER DOLLAR ON AI
Find Where AI Will Actually Make Your Business Money.
Wednesday, November 18 · 11 AM ET / 8 AM PT
Secure checkout · One-time payment · Replay access included
FOUNDER & CEO
Aarti Anand, PhD
Your business may already be using AI. But are those tools improving how work gets done—or simply making the same broken processes run faster?
Join Aarti Anand, PhD, for a behind-the-scenes look at how Kodenyx AI uncovers operational bottlenecks, evaluates financial opportunities, and determines which AI investments deserve attention.
For business owners, and the operations leaders who run the business with them.
THE PROBLEM ISN’T ALWAYS THE TECHNOLOGY
Your business doesn’t need another AI tool. It needs to know where AI will actually pay.
You’ve introduced new software. Your team is experimenting with AI. Some employees are finishing work faster. But important questions remain unanswered.
Where is the financial return? Which processes should change? Which problems are worth automating? And which investments should never be made in the first place?
Here’s what we’ve learned from examining how businesses operate: The problems AI is supposed to solve often existed long before AI arrived.
- Processes only one person knows how to run
- Workarounds everyone uses and nobody wrote down
- Teams measured on activity, not outcomes
- AI tools in use, nothing different in the P&L
AI doesn’t automatically solve those problems. Sometimes it simply makes them happen faster.
INSIDE THE KODENYX REVIEW PROCESS
See how we find the opportunities worth pursuing—and the ones worth walking away from.
We’ll walk you through the approach we use to examine business operations, identify opportunities, and evaluate whether AI can create measurable financial value.
- 01 Map the Work See how we identify where work happens, who owns it, where decisions get stuck, and which processes depend on individual employees.
- 02 Find the Hidden Costs Learn how operational bottlenecks, manual work, delays, rework, and dependencies can create financial exposure that doesn’t appear clearly on a dashboard.
- 03 Evaluate the Opportunities See how we distinguish a genuinely valuable AI opportunity from an interesting technology experiment.
- 04 Test the Economics Understand how we examine potential benefits, implementation costs, assumptions, risks, and the conditions required to realize value.
- 05 Make the Decision See how findings become executive recommendations: INVEST · INVESTIGATE · FIX FIRST · STOP
The goal isn’t to find the most AI opportunities. It’s to identify the right decisions.
EXAMPLE WALKTHROUGH
What does a real AI investment review actually uncover?
Imagine a business where an important workflow depends on a handful of experienced employees.
Leadership sees a potential automation opportunity. But before recommending technology, several questions need answers.
How often does the work occur? Where does it slow down? What does the delay cost? Which decisions require human judgment? What happens when the process fails? And would automation actually improve the economics?
During the workshop, we’ll walk through a representative example and show how an initial operational hypothesis becomes a structured investment recommendation.
Attendees will see:
- The business problem
- How the value and risk are estimated
- How the recommendation is made
A good AI investment decision starts with evidence, not a vendor demonstration.
THE OUTCOME
You’ll leave knowing what a defensible AI investment decision looks like.
In 60 minutes, you’ll see how experienced operators can evaluate AI opportunities before committing significant time, money, or organizational attention.
You will understand:
Where to look
How to recognize the operational problems most worth investigating.
What to measure
Why hours saved, software deployed, and employee adoption don’t automatically equal financial returns.
What to question
How to challenge assumptions, identify hidden implementation costs, and uncover organizational risks.
What to prioritize
How to distinguish opportunities that deserve investment from those that require more evidence or process redesign.
What comes next
What a structured AI Investment Review involves and what you should expect from its findings.
You’ll leave with the Kodenyx AI Decision Scorecard. Use it yourself, or take it to your leadership team.
YOUR PRESENTER
Aarti Anand, PhD
Founder & CEO, Kodenyx AI
Aarti Anand holds a PhD in mathematics and computer science and brings 15 years of experience building software.
As Founder and CEO of Kodenyx AI, she focuses on helping businesses evaluate where AI can create measurable operational and financial value—and where investment may not be justified.
She writes The Economics of AI newsletter, examining the business decisions, incentives, and economics behind AI adoption.
Her approach begins with the business problem, not the technology.
“We bought the AI” and “we got value from AI” are two completely different statements.
This workshop is for leaders who are responsible for the result—not just the technology.
BUILT FOR
You run the business, or you run operations for someone who does.
NOT FOR
Prompting tutorials, tool lists, or coding instruction.
YOUR NEXT INVESTMENT DECISION
Before you approve another AI investment, see how to evaluate whether it deserves your money.
Before You Spend Another Dollar on AI
60-minute live virtual workshop
Replay included
$97
One-time payment
Secure Stripe checkout. Registration details and joining instructions are sent after successful payment.
No subscription. No additional purchase required to attend.
A FEW USEFUL ANSWERS