Your data is your most valuable asset. And your most invisible risk.
SMBs hold thousands of files, databases, and cloud documents containing personal data. Without knowing it. Without protecting it. Without measuring what it's worth.
Your data sits at the intersection of two realities most SMBs discover too late.
The risk — What you hold can cost you
An ignored asset. An underestimated risk.
You store emails, social security numbers, health data, bank details — spread across servers, databases, and cloud. Every unprotected piece of personal data is a potential violation.
The numbers :
Average breach cost for SMBs: $4.44M
19 US states now have comprehensive privacy laws
GDPR: fines up to 4% of global revenue or €20M — Art. 83
CCPA: $7,988 per violation, no cure period
The value — What you hold can drive growth
85% of AI projects fail because of data quality issues discovered too late. Before investing in AI, data science, or automation, one fundamental question: is your data actually usable?
Quality, completeness, freshness, governance — these metrics determine whether your data is a strategic asset or a costly liability.
"We should have known earlier. Now we've lost the budget and the board's trust." - SMB executive, AI project abandoned after $200K and 7 months
The solutions exist. But not for you.
Nobody's helping you.
Market leaders offer powerful platforms. At $50K–$150K per year. With 4 to 6 weeks of deployment. And dedicated consultant teams.
For an SMB with 50 to 500 employees, that's not an option. And when a market leader tried to offer an SMB product by acquiring a privacy startup, they shut it down within months — the segment simply isn't profitable at their scale.
The result : 60% of US small businesses have no cybersecurity policy (CISO Magazine). Not out of negligence — out of lack of accessible alternatives.
The analogy : Nobody would acquire a company without a financial audit. Why manage sensitive data without a data audit?
The data audit SMEs and mid-sized companies have been missing. Fast deployment. Same-day results.
Our response: APOLLO Data Auditor
The agent deploys with no dependencies — a native binary, and you’re up and running in 20 minutes. Each source (files, databases, cloud, directories) is scanned independently: from a few minutes to a few hours depending on volume. The dashboard starts populating as soon as the first scan is completed.
Startup project initiated by a group of MIT Sloan Executive Program alumni — "Artificial Intelligence: Implications for Business Strategy."
About aiia-tech.com
Vision : Democratize methodological excellence for businesses through accessible decision-making tools.
Mission : Turn executives into data-driven decision makers with rigorous, quantitative tools adapted to SMB constraints.
The APOLLO™ Framework— Advanced Process for Organizational Learning, Leadership & Optimization — structures our approach around 6 principles from MIT Sloan best practices :
A - Advanced — Pragmatic solutions with measurable ROI
P - Process — Structured methodology, concrete deliverables
O - Organizational Learning — Technical, organizational, and human dimensions
L - Leadership — C-Level First approach
L - Learning — Continuous improvement through experimentation
O - Optimization — Integrated ethical governance and compliance
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