You will never run your company at 100% with AI, even if someone promised you would.
0 companies run at 100% on AI — yet that promise sold you ~3 tools you didn't need.
- A budget set on a myth
- Expectations no one can meet
AI ROI optimization
Harmondale audits your AI, cuts what does not return value, and rebuilds use cases where it finally produces a measurable result.
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23 signals intercepted this week
The Tower is watching
Symptoms
You invested in AI. The tools multiplied, the enthusiasm too. And yet something is off.
You will never run your company at 100% with AI, even if someone promised you would.
0 companies run at 100% on AI — yet that promise sold you ~3 tools you didn't need.
01 / 18
Symptom 1 of 18: You will never run your company at 100% with AI, even if someone promised you would.
The AI Control Tower
While your teams work, the Tower watches everything moving around your AI tools — and only interrupts you when it costs you.
Every pricing, quota or limit change, translated into €/month for your declared stack.
+8%/seat in 6 months
Our canaries measure models continuously — a silent regression never stays silent.
−16 pts detected on code
Live status of your tools, impact estimated in blocked people, and confirmed incident resolution.
availability 99.2% · 30d
AI Act, CNIL, data policies: every deadline becomes a dated action, not a legal-watch newsletter.
J−41
next GPAI deadline
Without a control tower — the log of an AI adoption
D+03
The team is flying.
D+12
Roles start to blur.
D+25
Everyone rebuilds what exists.
D+47
“And what is all this returning?”
Logbook
D+03 · euphoria
Three AI tools adopted in one week
+38% felt velocity — nothing measured yet
27 people equipped, zero usage rules
Log: #general channel · “we are never going back”
D+12 · drift
Marketing ships code to production
2 senior-dev days burned on urgent fixes
Nobody reviews what the AI writes
Log: sprint retro · “who deployed this?”
D+25 · sprawl
A project lead re-codes the CRM — “but better” — with AI
4 duplicated internal tools · 0 maintenance plan
The original subscriptions keep running
Log: purchase request · 6th AI tool this month
D+47 · the reckoning
“And what is all this returning?”
The CFO’s question hangs unanswered.
That is the day they call us.
Without a control tower — the log of an AI adoption
D+03
The team is flying.
D+03 · euphoria
Three AI tools adopted in one week
+38% felt velocity — nothing measured yet
27 people equipped, zero usage rules
Log: #general channel · “we are never going back”
D+12
Roles start to blur.
D+12 · drift
Marketing ships code to production
2 senior-dev days burned on urgent fixes
Nobody reviews what the AI writes
Log: sprint retro · “who deployed this?”
D+25
Everyone rebuilds what exists.
D+25 · sprawl
A project lead re-codes the CRM — “but better” — with AI
4 duplicated internal tools · 0 maintenance plan
The original subscriptions keep running
Log: purchase request · 6th AI tool this month
D+47
“And what is all this returning?”
D+47 · the reckoning
“And what is all this returning?”
The CFO’s question hangs unanswered.
That is the day they call us.
It enters as budget on the left, then crosses your value chain. At each stage a share tears off and drops — only a fraction comes out as real value.
Ledger — for every €1 in
Of every €100 spent on AI, about €12 comes out as measurable value. · Hover a leak to see what escapes.
We do not sell you more AI.
We do not replace your teams with prompts.
We do not price a chatbot as a transformation.
We do not confuse spectacular usage with real value.
We do not measure success by the number of tools deployed.
AI ROI is measured in value produced, not in subscriptions purchased.
We do not sell more AI. We make the AI you already have profitable through measured steps.
01
We inventory your tools, spend, and real AI usage team by team.
02
We separate what returns value from theater, then quantify waste.
03
We cut duplicates, consolidate tools, and close the leaks.
04
We rebuild workflows where AI produces a measurable business result.
05
We install value KPIs, guardrails, and adoption tracking over time.
Missions to repair the ROI, and a Tower that keeps watch afterwards — billed like a subscription, not like a consultancy.
Mission 01AI ROI Audit
Map where your AI costs, where it returns value, and where it leaks.
You have AI everywhere and still cannot say what it really returns.
Mission 02Rationalization Sprint
Cut AI waste and rebuild one high-ROI workflow.
You know where AI is wasting money and want to act quickly, cleanly.
Mission 03AI Governance / AI Ops
Keep value visible, contain leaks, and prevent role drift.
You want to keep control of AI over time.
Once the ROI is repaired, we do not leave you in the dark: the Tower watches prices, quality, outages, and deadlines — continuously.
Harmondale
Monthly subscription · cancel anytime
Starter
1 declared stack · price & outage alerts
29€/mo
Team★ most requested
Full stack · quality (canaries) · dated compliance
89€/mo
Business
Multi-team · custom thresholds · CFO export
249€/mo
What you get back: dated, quantified, sourced decisions.
Start with the diagnostic01 / 06
Trust
Audits, methods, and reports that turn a productivity feeling into a defensible budget decision.
No. We are against AI that costs money without returning value. Our work is to make your AI profitable: cut what wastes, keep what produces measurable value, and put measurement back where there was only excitement. Useful AI needs an owner, a clear use case, tracked cost, and an observable business result.
We first define what value means for each use case: time actually saved, cost per task, influenced revenue, quality improved, risk avoided, or capacity released. Then we compare those gains with the full cost: licenses, human time, maintenance, training, governance, and vendor dependency. Without that baseline, ROI is just a feeling.
Start with a short, concrete AI ROI Audit. We list the tools, paid seats, real usage, teams involved, duplicates, possible leaks, and hidden costs. That lets us separate what should be kept, consolidated, stopped, or redeployed. The goal is not a large strategy diagram; it is a reliable first action map.
A leak is value, money, or control escaping without being seen. It can be sensitive data sent into an unapproved tool, a subscription renewed without usage, vendor dependency becoming critical, or an automated workflow nobody can explain. We rank leaks by severity, cost, and effort to fix.
Not by default. We rationalize without breaking what works. A tool that creates measurable value, is adopted cleanly, and remains governable should be protected. But duplicates, unused seats, pilots that never shipped, and risky unmanaged usage should be consolidated or stopped with a clear transition for teams.
A few questions about your tools, spend, and AI usage. You leave with a waste index, your leak sources, and the first thing to rationalize.