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Most SMEs lose 10–30% of their IT spend — without knowing where.
Not because of bad decisions… but because value is invisible.
"Traditional governance can consume approximately 99 hours per month, per provider, just in recurring meetings." — DVSG Framework, Ch. 1
If this feels familiar…
you're already seeing the problem.
A structured assessment of where your IT spend creates value, where it doesn't, and exactly what to do about it. No 200-page report — just a decision-ready verdict.
Every meeting, vendor, licence, and approval queue mapped to its actual business contribution.
Each spend category gets one of three verdicts. No more endless "let's review it next quarter" loops.
Prioritised by financial impact ÷ effort. Quick wins for week one, structural changes for month three.
Most SMEs already use AI through ChatGPT, Copilot, Notion AI, CRM assistants, HR tooling, automated emails and embedded analytics. The real problem is not only regulation. The real problem is that nobody has a clear inventory of where AI is used, what decisions it influences, and whether those decisions create value, risk or waste.
Map sanctioned and shadow AI usage across people, tools, vendors and workflows.
Identify AI-generated outputs in emails, analysis, hiring, service flows, customer communication and governance reporting.
Separate useful AI enablement from invisible risk, duplication, tool sprawl and unmanaged decision automation.
Complete the IT Waste Hunter before our conversation. Then we do not start with generic intake questions — we start with your estimated recovery potential.
No intake form. No obligation. Just 30 minutes and you know where your money is going.
Six diagnostics, thirty minutes, one verdict. The same framework — done by you, for you.
Yes/no diagnostic — pinpoints which categories of waste deserve your attention first.
→Cost out your CABs, stand-ups, status reviews. The number will surprise you.
→List every service contract; rate actual consumption, business impact, and contractual lock-in.
→Seats purchased vs. seats actually used.
→How much engineering capacity is being burned waiting for approvals?
→Heatmap, prioritised actions, total euros at stake.
→Each "Yes" is a flag, not a sentence. You're scanning for low-value patterns — answer for the company you actually work in.
Use a fully-loaded hourly rate. For Western Europe, €75/h is conservative for senior engineers; €110/h for managers.
Add one line per recurring meeting.
| Meeting | People | Hours | Per | €/yr |
|---|
Uses 70% as conservative recoverable target.
Score service contracts 1–5 on actual consumption, business impact, and contractual lock-in.
How much is this service contract actually consumed?
1 = rarely used · 3 = regular consumption · 5 = daily essentialWhat happens if this service disappears?
1 = minor inconvenience · 3 = noticeable disruption · 5 = critical for continuityHow hard is it to exit or renegotiate?
1 = easy exit · 3 = moderate dependency · 5 = painful exit with data, skills or integration dependency| Vendor | € / yr | Use | Impact | Lock-in | Value Index | Verdict | Contract |
|---|
Pull figures from your SaaS admin consoles or last invoice.
| Software | Bought | Active | Utilisation | € / yr | Wasted € |
|---|
Map recurring governance forums, steering committees, CABs, reporting rituals and approval structures. This turns “governance maturity” into a visible cost and value signal.
Decision value = does this forum make real decisions? Outcome trace = can decisions be traced to measurable outcomes?
| Forum | People | Hours | Per | Decision | Trace | €/yr | Waste |
|---|
Add governance structures to see whether you have value governance or governance theatre.
Estimate the drag from low-risk changes passing through heavy approval funnels.
Map where AI is used, where it influences decisions, and where value, risk and accountability disappear. This is the AI Shadow Usage Scan: a paid entry product that turns AI uncertainty into a decision-ready visibility map.
Score each area from unknown to clear. This is not a compliance audit; it is a visibility scan for AI-driven decisions.
Answer the questions to reveal whether AI is visible, partially governed or operating in the shadows.
The EU AI Act uses a risk-based model. For SMEs, the practical question is not “do we have AI?” but: where does AI influence decisions, and could that usage become prohibited, high-risk, transparency-sensitive or minimal-risk?
A focused scan that produces a one-page AI usage inventory, decision-influence map, transparency gap view and practical governance actions.
Most SMEs and GTM teams do not lose money because of software alone. They lose money because operational context is fragmented across disconnected systems.
Score the operational drag created between systems. This is not an architecture audit; it is a visibility scan for disconnected context, duplicated work and decision latency.
Complete the scan to estimate hidden operational integration cost.
The real cost is usually not the tooling itself. It is the hidden operational drag between systems:
Cloud dependency becomes a governance issue when you no longer know who controls the data, the keys, the exit path, the AI processing layer or the jurisdictional exposure.
A focused scan of data residency, key control, SaaS portability, AI processing location, jurisdictional exposure and EU sovereign alternatives.
A focused diagnostic that maps operational context fragmentation, integration drag and workflow simplification opportunities.
Synthesised from everything you entered. Print this page or screenshot it; it stands on its own.
Each cell is one waste category, scored on the data you entered.
Ordered by financial impact ÷ effort. Start at the top.