Illustrative example. Not a client result.
Sample Diagnostic

Sample Profit Intelligence Diagnostic

An illustrative management example showing how Aigenrix connects financial symptoms, operational causes, intervention priorities and payback. All company details, figures and findings below are hypothetical.

Illustrative company profile

  • €10M annual revenue
  • ~150 employees
  • Service / operationally complex business
  • Several departments, recurring processes
  • CRM, finance and operational data available
1. Executive summary

Potential annual economic exposure identified: €620K

Across four areas of the business, the illustrative diagnostic identifies €620K in annual economic exposure — value currently being lost to capacity, margin, working-capital and revenue leakage.

€210K
Capacity leakage
€180K
Margin leakage
€140K
Working-capital opportunity
€90K
Revenue leakage
2. Leakage map

Where the illustrative exposure sits

Seven findings make up the €620K figure above. Each is stated with its annual impact, confidence level, and the intervention that would address it.

FindingAnnual impactConfidenceInterventionEstimated costPayback
Reception/admin capacity spent on manual scheduling and rebooking€95KHighAI-assisted scheduling & intake automation€18K3 months
Field/delivery team idle time between jobs due to routing inefficiency€115KMediumRoute & capacity planning redesign€35K5 months
Underpriced service tier relative to delivery cost€100KHighPricing model redesign€8K1 month
Vendor and subcontractor cost overrun on three recurring service lines€80KMediumVendor renegotiation & workflow standardization€12K2 months
Extended receivables cycle with top 10 clients€140KMediumInvoicing & collections process redesign€15K2 months
Inbound leads not followed up within 24 hours€55KMediumLead-response automation & CRM workflow€14K4 months
Inconsistent upsell and cross-sell at renewal€35KLowRenewal playbook & CRM prompts€6K3 months
3. Root causes

Why it is happening

Capacity

Scheduling and routing decisions are made ad hoc by individual staff, with no shared capacity model across teams.

Margin

Pricing was set at launch and never revisited against actual delivery cost; vendor contracts renew automatically without cost review.

Working capital

No standardized invoicing trigger is tied to project milestones; collections are handled reactively.

Revenue

Lead routing depends on manual CRM checks; there is no SLA for first response or renewal outreach.

4. Intervention prioritization

Now / Next / Later

Now
  • Pricing model redesign
  • Invoicing & collections process redesign
Next
  • AI-assisted scheduling & intake automation
  • Lead-response automation & CRM workflow
Later
  • Route & capacity planning redesign
  • Vendor renegotiation & workflow standardization
  • Renewal playbook & CRM prompts
5. Implementation economics

What it would illustratively cost to fix

€620K
Total annual exposure identified
€108K
Total estimated implementation cost
€390K–€465K
Illustrative recoverable value range
~3 months
Blended payback

The recoverable range is narrower than total exposure because it is confidence-weighted — low- and medium-confidence findings are discounted until validated against real data.

6. 90-day roadmap

An illustrative sequence, not a fixed template

Days 1–30

Validate & quick wins

Validate findings against real data; implement pricing and invoicing/collections changes — the two lowest-cost, fastest-payback items.

Days 31–60

Build the automation

Build and pilot scheduling/intake automation and lead-response workflows for the highest-confidence capacity and revenue findings.

Days 61–90

Measure & decide

Measure results against baseline; decide whether the 'Later' bucket (routing, vendor renegotiation, renewal playbook) is worth pursuing.

7. Assumptions and confidence levels

How confidence is assigned

  • High confidence findings are based on directly observable data — time logs, pricing tables, invoicing records.
  • Medium confidence findings require additional validation, such as routing data or CRM completeness.
  • Low confidence findings are directional and need a short follow-up analysis before committing budget.
  • Every figure on this page is illustrative and calculated from simplified, hypothetical assumptions — it does not represent any real client engagement, current or past.

Want to validate these economics against your real business data?