FOR CEOS, COOS, CFOS & OPERATIONS LEADERS
Find where AI pays before you pay for AI.
Kodenyx finds the expensive problems hiding inside your operations, proves the economics, and builds the systems worth investing in.
30 minutes. Bring the messy problem.
PRINCIPAL ADVISOR
Aarti Anand
$32.4M
Annual operational cost identified
$2M
AI investment pressure-tested
$400K–$600K
Modeled annual opportunity
LIVE SYSTEMS
Deployed inside client operations
“If you're a B2B leader who knows you want to use AI but don't know where to start, start with Aarti Anand and Kodenyx AI. They'll get you there.”
FEATURED IN
WHO TRUSTS KODENYX
Trusted with real operations.
Growing companies. Enterprise technology. Multi-location operations. Healthcare. Different environments, same discipline: find the problem worth solving, prove the value, then build what belongs there.
ACRU SOLUTIONS
2025 Inc. 5000 Honoree · 50+ Employees · 300+ Clients
Kodenyx identified and ranked the highest-value AI opportunities across the business.
“Kodenyx helped us systematically identify the areas of greatest opportunity in our business — and gave us a clear path to deploying the specific tools and workflows.”
KEVIN MEURER, PARTNER, ACRU SOLUTIONS
SPARRO
Technology partner to Fortune 500 enterprises
Sparro advises large enterprises on digital infrastructure. They brought in Kodenyx to assess and prioritize their own AI opportunities.
“Kodenyx built AI-driven workflows that streamlined complex operations — backed by performance data. Their systems accelerated our RFP process and unlocked a larger pilot.”
JASON WICKAM, GM/VP, SPARRO
HUMANE COLORADO
240 Employees · 5 Locations · 115 Years
Kodenyx assessed a complex, multi-location operation to identify and rank the highest-value opportunities for AI and workflow redesign.
NORTHWEST KETAMINE CLINICS
50,000+ IV Ketamine Infusions Delivered
ADVANCED ANESTHESIA SERVICES
Anesthesia Partner to Leading Puget Sound Healthcare Organizations
AI KNOWLEDGE SYSTEMS BUILT & DEPLOYED
Kodenyx built and deployed AI knowledge systems across both healthcare organizations, giving their teams rapid access to continuously growing company knowledge.
“Both systems are running well and ingesting new information as hoped… You’ve built a great system that will serve our companies for many years to come.”
ALLYN WILCOCK · NORTHWEST KETAMINE CLINICS / ADVANCED ANESTHESIA SERVICES
THE PROBLEM
Most AI projects start one step too late.
The conversation starts with a tool. A vendor shows you what their platform can do. Someone proposes an agent. A team comes back with a list of use cases. A competitor announces an AI initiative.
And suddenly the question becomes:
How do we use AI?
We think that's the wrong place to start. Start with:
What is actually costing the business money, capacity or revenue?
Because the expensive problem isn't always the obvious one. And if you choose the technology before you find the bottleneck, you can spend a lot of money making the wrong process faster.
You don't have a technology problem. You have a where-to-invest problem.
No software to push. No platform preference. The business problem chooses the technology — not the other way around.
PROOF
What changes when you look at the work first.
ANNUAL OPERATIONAL COST UNCOVERED
30,000 field employees · six minutes/day
A company was already evaluating AI solutions. The largest economic opportunity wasn't addressed by any proposal on the table.
AI INVESTMENT PRESSURE-TESTED
62-page AI plan · budget already allocated
The technology recommendations existed. The economics underneath them didn't. Kodenyx was brought in to run the diagnostic before the investment moved.
MODELED ANNUAL OPPORTUNITY
$12M recurring-revenue business · retention
Customer signals existed but weren't connected early enough to act. A five-point retention lift modeled $400K–$600K in annual impact with a two-month implementation break-even.
REPEAT INTERRUPTIONS PER CLINIC, PER WEEK
Turned into a working knowledge system
Kodenyx built an access-controlled system that let staff get routine answers without repeatedly interrupting operations managers.
BUILT BY OPERATORS, NOT SOFTWARE RESELLERS
We look at the operation before we look at the technology.
LEADERSHIP TEAMS
We find the operational bottleneck before prescribing AI.
ENGINEERING CAPABILITY
Diagnosis can become a deployed system.
NO PLATFORM PREFERENCE
The business problem chooses the technology.
Aarti Anand, Founder, Kodenyx AI
HOW WE WORK
Find it. Price it. Decide. Build it.
We don't arrive with a product and look for somewhere to install it. We start with the business.
FIND IT
We look at how the work actually happens — people, workflows, systems, data, handoffs and workarounds.
Then we find the bottleneck underneath the obvious problem.
PRICE IT
What does the problem cost today? What could change? What would solving it cost?
What has to be true for the investment to make economic sense?
DECIDE
Not every problem needs AI.
The right answer might be to build, buy, redesign the process, investigate further — or leave it alone. We'll tell you which.
BUILD IT
When AI is the right answer, our engineering team designs and deploys the system inside your working environment.
Strategy doesn't end in a deck. It ends in a decision — and, when it should, a working system.
WHAT WE BUILD
The solution follows the bottleneck.
Because we don't start with a predetermined product, what gets built depends on what the business actually needs.
Knowledge Systems
Turn scattered documentation and institutional knowledge into governed systems your team can actually use — without relying on the same person to answer the same questions.
Operational AI Systems
Connect repetitive workflows, tools and information so your team spends less time moving work around and more time doing the work that matters.
Decision & Intelligence Systems
Connect signals across the business so leaders can see what's changing without manually chasing people, spreadsheets and systems for answers.
Custom AI Automation
When the bottleneck is specific to your operation, we design and build around the workflow instead of force-fitting an off-the-shelf product.
We don't sell you the AI we happen to have. We find the problem worth solving and build what belongs there.
THE DIAGNOSTIC
When the right opportunity isn't obvious, diagnose before you prescribe.
If you're looking at several AI initiatives, vendors, departments or budgets and don't know what deserves investment first, that's what the diagnostic is for.
We map the operation and build the economic case underneath the opportunities.
WHAT YOU LEAVE WITH
A ranked opportunity map
Where the strongest economic opportunities actually sit.
The economics underneath them
Current cost, potential impact, investment assumptions and expected return.
What to do first
A clear sequence instead of a list of disconnected AI ideas.
What not to fund
Because knowing where not to spend can be just as valuable.
A path to implementation
What can move now, what needs foundational work first, and what the build would require.
And if the problem is already clear? We don't manufacture a diagnostic you don't need. We scope the build.
TWO WAYS TO START
You don't need to know which service you need.
You already know what's broken.
You have a workflow, process or operational problem that needs fixing. Bring us the messy version. We'll determine whether AI belongs there and whether there's something sensible to build.
You know AI matters. You're not sure where to start.
You have ideas, vendors, initiatives or budget on the table — but no clear economic ranking of what deserves attention first.
Start with the AI Clarity Workbook. Four short worksheets to put numbers around your AI opportunities before you commit budget to the wrong tool, vendor or project.
FAQ
Questions we get before the first call.
Do you only do strategy?
Do we need an AI strategy before talking to you?
Do you sell a particular AI platform?
We've already chosen an AI project. Can you still help?
What if AI isn't the answer?
What happens after the AI Opportunity Review?
The advantage doesn't go to whoever moves first. It goes to whoever moves right.
Before you choose the tool, approve the pilot or commit the budget, make sure you're solving the problem that's actually worth solving.
Bring the problem, project or AI investment you're considering. We'll work out whether there's something worth diagnosing, something ready to build, or something you shouldn't fund yet.