Find where your business is losing profit — before spending more on people, software or AI.
Aigenrix connects your financial data with real operating processes to identify where margin, cash, revenue and capacity are leaking — and what is worth fixing first.
You receive a quantified leakage map, root-cause analysis, prioritized actions and an ROI/payback model.
No implementation commitment — you keep the analysis either way.
Does this sound familiar?
Revenue is growing, but EBITDA is not.
The business is profitable on paper, but cash is constantly tight.
Headcount is growing faster than output.
Margins differ significantly between clients, projects or locations.
Management spends too much time coordinating exceptions and manual work.
You are considering AI, but nobody can demonstrate the financial return.
These symptoms can come from very different causes. The diagnostic establishes which ones actually matter in your business.
What the Profit Intelligence Diagnostic tells you
Where value is leaking
Margin · cash · revenue · capacity
How much it is worth
Annualized € impact
Why it is happening
Financial and operational root cause
What to do first
Priority · investment · payback · confidence
€ impact → root cause → intervention → implementation cost → payback → confidence
This is the logic behind every finding in the diagnostic.
Examples of what we look at
- Margin
- Capacity
- Manual work
- Sales & conversion
- Lead response time
- Operations & handoffs
- Management overhead
- Software stack cost
- Errors & exceptions
- Unused data
- Customer support
Not every business leaks in all of these areas — the diagnostic establishes which ones are material in yours.
Want to know whether this leakage exists in your business?
What you receive in 7–10 business days
Executive leakage map
Top 3–7 economically material findings.
Financial impact model
Current annualized exposure, recoverable value and underlying assumptions.
Root-cause analysis
The process, policy, system, pricing structure or management mechanism producing the problem.
Prioritized intervention roadmap
Now / Next / Later.
Investment & ROI model
Expected implementation cost, expected benefit range, payback and sensitivity.
At the end of the diagnostic, management should be able to answer five questions:
- →Where are we losing economic value?
- →How much is each material problem worth?
- →What is causing it?
- →What should we fix first?
- →What is the expected economics of fixing it?
What we typically need from you
Exact data requirements depend on the company and the problem identified — not every diagnostic requires every dataset.
- →P&L / management accounts
- →Revenue by client, project, product, location or service, where available
- →Payroll and capacity data
- →CRM / ERP exports, where relevant
- →AR / AP / working-capital data, where relevant
- →1–3 workflow walkthroughs with management or operational teams
Typical client involvement: approximately 3–5 hours.
What this looks like in practice
Sermed Clinic — AI-enabled reception, deployed and measured.
Estimated financial equivalent based on released capacity — not a guarantee that every client achieves similar results.
Digital Twin, Deep AI and Cybersecurity case studies outside these engagements are in progress — publishing once results are verified.
See what a Profit Intelligence Diagnostic looks like
Review an illustrative management example showing how Aigenrix connects financial symptoms, operational causes, intervention priorities and payback.
View Sample DiagnosticBest fit
Best fit
- Approximately 20–250 employees
- Approximately €3M–€50M annual revenue
- Multiple teams, locations or workflows
- Meaningful transaction or customer volume
- Existing CRM, ERP, finance, booking or operational systems
- Management sees symptoms but cannot quantify their economic root causes
Especially relevant when
- Revenue grows without proportional profit
- Cash conversion deteriorates
- Headcount rises faster than output
- Client, project or product profitability is unclear
- Manual coordination consumes significant capacity
- AI investments are being discussed without proven ROI
Probably not a fit
- Pre-revenue companies
- Very small businesses with simple, owner-operated processes
- Companies looking only for a chatbot
- Companies unwilling to share enough financial or operational data for evidence-based analysis
Industries we work with most
- Professional services
- Healthcare
- E-commerce & retail
- SaaS & technology
- Logistics
- Hospitality
- Manufacturing
- Finance & insurance
Why Aigenrix — if you already have a CFO, COO or internal team?
The issue is usually not a lack of capable people. It is that financial, operational and technology decisions are often analysed separately. Aigenrix connects them around one question: where is economic value being lost, and which intervention is actually worth funding?
Internal team
Knows the business deeply, but is embedded in functions and daily operations.
Finance, operations, sales and technology often see different parts of the same problem.
Traditional consultant
Can diagnose, but often stops at recommendations.
The analysis may identify what should change without owning the technical and operational path to implementation.
AI agency
Can automate, but typically starts with technology.
Automation can improve a process, but automating the wrong process can simply make inefficiency faster.
Aigenrix
Starts with economics, connects finance to process, and implements only what is justified.
The sequence is evidence → economics → intervention → validation — not technology first.
Diagnostic → Pilot → Scale
Diagnostic
Evidence the problem before funding the solution.
- →Baseline
- →Economic exposure
- →Root cause
- →Realistically recoverable value
- →Potential intervention
- →Implementation economics
- →Confidence level
Evidence-based investment case
Pilot — where required
Test the intervention before committing to full-scale implementation.
- →Limited scope
- →Defined baseline
- →Success KPIs
- →Investment
- →Measurement period
- →Go / stop criteria
When uncertainty or implementation risk is material, Aigenrix recommends a controlled pilot before scaling. A pilot is not mandatory for every recommendation — some low-risk changes proceed directly to implementation.
Validated or rejected business case
Scale
Scale only what the evidence supports.
- →Compare vs. baseline
- →Compare vs. expected benefit
- →Compare vs. implementation cost
- →Operational KPIs
- →Financial KPIs
If the economics are validated, scale. If they are not, stop, redesign or reject the intervention.
Measured value realization
Do not commit significant capital before the economics are evidenced and tested.
Evidence before investment. Validation before scale.
No implementation commitment
The Profit Intelligence Diagnostic is a standalone engagement.
If the economics justify intervention, you can implement internally, use another provider, or continue with Aigenrix.
You keep the analysis either way.
Where uncertainty is material, we test the intervention through a limited pilot before scaling — we do not ask you to trust an unproven recommendation.
If a finding does not justify automation or AI, we will say so.
Ready to find out what is worth fixing first?
What happens after the diagnostic?
Only where the diagnostic justifies it do we move into implementation — and you choose whether that is with Aigenrix, another provider, or your own team.
The commercial sequence
Diagnostic → Decide → Pilot (where required) → Scale → Measure
AI, automation, Digital Twin and security capabilities below are implementation tools, applied only once this sequence has justified them — technology stays subordinate to economics.
Implementation tools
Finance first. Technology second.
Ivan Melnykov, founder of Aigenrix, works at the intersection of finance, business operations and AI — identifying where businesses lose money, understanding the operating causes, and determining where AI can create measurable economic value. He combines financial analysis, management experience and AI implementation, so Aigenrix engagements start with business economics rather than technology.
About AigenrixFind out whether the problem is worth fixing before you invest in the solution.
You receive:
- →Quantified leakage map
- →Financial impact model
- →Root-cause analysis
- →Prioritized interventions
- →Implementation economics and payback
Start with a 30-minute Profit Leakage Review.
No implementation commitment. Evidence first.