Expert AI Governance Consulting for Startups & SMBs

Ensure ethical, compliant, and trustworthy AI for startups and SMBs with our governance expertise.

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AI drives innovation — but without proper governance, it can become a serious liability.

The Risks of Ungoverned AI

  • 🧠Algorithmic Bias – AI systems can produce unfair outcomes that harm individuals or groups, especially in hiring, lending, or healthcare.
  • 🔐 Data Misuse & Privacy Breaches – Poor handling of training data can lead to non-compliance with GDPR and expose sensitive personal information.
  • ⚖️ Regulatory Fines – Under the EU AI Act, high-risk AI systems that don’t comply may face fines of up to 6% of global revenue.
  • 📉 Reputational Damage – A single failure can permanently damage public trust and investor confidence.
  • 👁️‍🗨️ Lack of Transparency – Black-box models without explainability erode accountability and stakeholder trust.

Comprehensive AI Governance Services

AI Governance Framework Development

We build a responsible AI framework tailored to your organization: defining ethical AI policies, establishing an AI Ethics Board, mapping processes and documentation, and aligning with ISO 42001, NIST AI RMF, and EU AI Act requirements

AI Risk Assessment & Mitigation

Conduct in-depth AI risk and impact assessments to uncover technical, ethical, and legal vulnerabilities. We integrate DPIA practices and use structured tools to mitigate algorithmic bias and data risks.

AI Act & Regulatory Compliance

Get expert guidance on AI Act compliance and related regulations. We classify your AI systems by risk category, create readiness checklists, and prepare documentation for conformity assessments.

Ethical AI & Bias Audits

We audit your AI models to identify and correct bias, promote algorithmic fairness, and ensure ethical standards across your systems — from training data to deployment decisions.

Explainable AI (XAI) & Transparency

Implement explainable AI solutions using SHAP, LIME, and model-agnostic techniques. We help you increase interpretability, boost stakeholder trust, and comply with legal transparency requirements.

AI Governance Training & Enablement

We empower your team with the knowledge and tools to manage AI responsibly. Through custom workshops, playbooks, and awareness programs, we help embed ethical thinking and compliance practices into your product, data, and engineering workflows.

Our Approach to AI Governance

We don’t just deliver templates — we guide you through a structured and practical governance journey. Our step-by-step approach ensures clarity, compliance, and long-term resilience.

Assess & Plan

We conduct an AI risk scan, assess existing controls, and map your stakeholders, use cases, and data flows. This sets the foundation for a governance plan tailored to your goals and risk level.

Design & Build Framework

We define your ethical principles, governance roles (e.g., AI Ethics Board), documentation structures, and workflows aligned with ISO 42001, NIST AI RMF, and the EU AI Act.

Implement & Train

We support deployment of tools, draft internal policies, and deliver targeted workshops to empower teams in product, data, and compliance roles.

Monitor & Evolve

We help you establish KPI dashboards, schedule audits, and create a feedback loop to continuously adapt your AI governance as regulations, models, and markets change.

→ Explore Our Proven Methodology

Frequently Asked Questions about AI Governance

Still have questions? Here are the most common concerns we hear from startups and growing tech teams — and how we address them.

Start with an AI risk scan and stakeholder mapping. Then define your AI use cases, document data flows, and establish early-stage governance roles like an AI Ethics Champion or advisory board.

It classifies AI systems into risk tiers. If your AI falls into the “high-risk” category, you’ll need to meet strict transparency, documentation, and risk mitigation requirements — or face fines of up to 6% of global revenue.

Yes — especially if you’re processing personal data, using decision automation, or aiming to scale in regulated markets. A lightweight, startup-friendly governance framework protects you from future compliance gaps.

Fairness starts with bias-aware data practices and transparent model testing. We use audits, fairness metrics, and explainability techniques like SHAP or LIME to flag and reduce disparities in outcomes.

It depends on the system’s complexity. We offer modular packages starting at €2,500 with optional sprints, assessments, and training — scaling as you grow.

Data governance focuses on how data is collected, stored, and accessed. AI governance covers how that data is used in AI systems — including risks, transparency, fairness, and accountability.

Ready to Build Trustworthy and Compliant AI?

Let EthicaLogic be your partner in navigating the complexities of AI governance. Submit your request below and receive a free initial assessment, plus tailored recommendations to make your AI ethical, compliant, and future-proof.