Interactive Compliance Tool
GDPR & EU AI Act Compliance Calculator
Discover what GDPR and EU AI Act compliance is really costing your organization, and how much you could save with the right infrastructure.
Your Compliance Profile
Adjust the sliders to match your organization. Results update instantly.
Total number of employees in your organization
CRMs, databases, HR systems, marketing tools, analytics platforms, anywhere personal data lives
Global annual revenue, GDPR fines are calculated as a percentage of this
Industry affects regulatory burden and data sensitivity
Tech firms face dual regulation: GDPR for data, EU AI Act for every AI system they ship
SaaS platforms process data for thousands of customers and increasingly embed AI features. The EU AI Act requires regulatory assessments for high-risk systems and transparency for general-purpose AI. Tracking both data flows and AI model lineage is essential.
Directional industry estimate. Source: EU AI Act (Regulation 2024/1689); IBM Cost of a Data Breach Report 2025
Your Current Cost
The Cost of Manual Compliance
Annual Compliance Cost
$1.5M
Spent on regulatory compliance every year
Your Projected Savings
What You Could Recover
Projected Savings
$620K
Recovered annually
Payback Period
2 mo
Time to recoup investment
Risk Reduction
48%
Compliance exposure reduced
Based on cloud deployment pricing. On-premise deployments are available for organizations with specific security or compliance requirements. contact us to discuss.
Before vs. After
Annual compliance cost, current state vs. projected
Projected annual savings of $620K
Where the Compliance Budget Goes
Breakdown of annual regulatory compliance costs
3-Year Projection
3-Year Investment
$371K
Total cost of connected data platform
3-Year Net Savings
$1.9M
Recovered value after all costs
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Calculate how much fragmented data costs your organization beyond compliance, duplicated effort, search time, and missed insights.
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Regulated / Multi-Market Content
Translation Compliance Exposure
A compliance violation in a source document ships to every translated market it reaches. Model what that exposure costs each year, and what catching violations at source, before translation, saves.
Your Regulated Content
These are your numbers and your estimates, not published statistics. Results update instantly.
Regulated documents, claims, or product descriptions translated per year
Jurisdictions each document ships to, every one multiplies the exposure
Your estimate, share of source documents carrying at least one compliance violation
Reviewer minutes per document when nothing is pre-flagged
Minutes per document when violations are flagged at source for confirmation
Fully-loaded hourly cost of a compliance reviewer
What the knowledge-graph layer costs per year, set to see the payback period
Incident exposure (advanced, optional)
A probability-weighted estimate built from your own numbers - directional, not a prediction.
Your estimate of one compliance incident, fine, recall, or market rework. Leave at Excluded to skip
The Detection Gap
Unaided AI caught 0% of source-compliance violations. A knowledge-graph layer caught 100%.
On a controlled 30-error regulatory corpus (EN→Greek/French), a peer-reviewed study found knowledge-graph-mediated translation detected 100% of source-compliance violations vs 0% for two LLM baselines, Gene & Sosoni, NeTTIT 2026. At your numbers, that gap looks like this:
Violations Shipping Today
200 docs/yr
Expected docs with a source violation, unflagged (your error-rate estimate)
Market Exposures
600 /yr
Violation-market instances, each doc ships to every market
Review Hours Saved
1,233 hrs
Per year, with violations pre-flagged at source
Review Cost Saved
$111K
Per year, at your reviewer rate
Before vs. After
Annual compliance-review cost, unflagged vs. pre-flagged at source
Projected annual savings of $111K
What this adds up to
Annual Benefit
$111K
Review savings (incident exposure not modeled)
Payback Period
13 mo
Months for the knowledge layer to pay for itself
The 100%-vs-0% detection result is peer-reviewed on a controlled corpus; how it generalizes to your corpus is directional. Your error rate, review times, and incident figures are your estimates. Adjust the sliders until they match what you actually see.
Commonly Asked
Methodology & Sources
Our compliance calculator uses benchmarks from regulatory enforcement data, industry research, breach cost studies, and EU AI Act impact assessments to estimate your full compliance burden.
GDPR fines & enforcement
DLA Piper's annual survey tracks €1.2B in fines issued in 2025 and a 22% rise in breach notifications to 443 per day across Europe.
Cost of data breaches
IBM's 2025 Cost of a Data Breach Report finds the global average breach costs $4.44M, with healthcare at $7.42M, the highest for 14 consecutive years.
Privacy request processing costs
AvePoint/Sapio Research finds the average privacy request (DSAR) costs $1,524 to process, with a 246% increase in request volume over two years.
Compliance program costs
Enterprise GDPR programs cost $1.7M-$70M annually depending on size and complexity (FTC study). Automation can reduce operational costs by 40-60%.
EU AI Act (Regulation 2024/1689)
The EU AI Act requires regulatory assessments for high-risk AI systems, costing €200K-500K per system (Stanford HAI). Fines reach up to €35M or 7% of global revenue. Automating the data tracking and documentation that Articles 11-13 require is essential at scale.
AI governance & monitoring
EU AI Act Articles 9, 12, and 72 mandate risk management systems, record-keeping, and post-market monitoring for AI. A connected data layer tracks training data origins, model decisions, and audit trails across your AI portfolio.
Privacy governance staffing
IAPP Privacy Governance Report (2024): staffing benchmarks for DPO and compliance analysts. Organizations average 1 privacy FTE per 500 employees in regulated industries.
Data governance readiness
Gartner D&A Summit (March 2026): Only 14% of organizations are confident their data is secured and governed. Over 50% of IT and AI leaders feel pressured to adopt GenAI before they are ready.
Translation compliance detection
On a controlled 30-error regulatory corpus (a 500-word retinol product description, EN→Greek/French), knowledge-graph-mediated translation detected 100% of source-compliance violations; two LLM baselines detected 0% (Gene & Sosoni, NeTTIT 2026). Peer-reviewed on the controlled corpus; generalization beyond it is directional. The exposure module's error rate, review times, and incident figures are your own estimates, the model only does the multiplication.
Full Source List
- DLA Piper. GDPR Fines and Data Breach Survey, January 2026.
- IBM Security. Cost of a Data Breach Report 2025. Ponemon Institute.
- AvePoint / Sapio Research. The True Cost of Privacy Request Processing.
- IAPP. Privacy Governance Report 2024. International Association of Privacy Professionals.
- Gartner. Data and Analytics Summit, March 2026. Key Findings and Trends.
- European Commission. AI Act Impact Assessment (2024). Regulation 2024/1689.
- Stanford HAI. AI Act Compliance Costs for High-Risk Systems. Stanford University.
- OECD. AI Policy Observatory: Governance Framework Benchmarks. Organisation for Economic Co-operation and Development.
- FTC. Enterprise GDPR Program Cost Study.
- Gene & Sosoni. Dual-Metric Compliance and Quality Evaluation of KGMT in Regulated Domains. NeTTIT 2026, pp. 109-118. DOI 10.26615/issn.2815-4711.2026_015.