223 shadow AI incidents per month in the average enterprise. Every unmonitored AI tool is a compliance violation waiting to happen. We build the governance framework before regulators do it for you.
Every ungoverned AI tool in your organization is a compliance violation, a data leak, and a regulatory fine -- all waiting to happen simultaneously.
Employees using 14+ AI tools you don't know about. Each one a potential data leak. Sensitive client data, financial records, and PII flowing to public AI services daily with zero logging or oversight.
78% of companies have no written AI usage policy. Regulators are not patient. When they audit, "we're working on it" is not an acceptable answer. Every day without a policy is a day of accumulated liability.
Fines up to 7% of global annual revenue. Not turnover -- revenue. For a $100M company, that's a $7M maximum fine. The Act applies to any company deploying AI systems affecting EU residents, regardless of HQ location.
AI agents have access to your data. Without governance, they're the most privileged user on your network. An unmonitored agent with broad permissions is a security incident you haven't detected yet.
Can you prove which AI model processed which data? Regulators will ask. Most companies cannot produce an AI activity log for the last 30 days, let alone the detailed records regulators will require.
One AI vendor goes down or changes terms. No contingency means business disruption. Without a multi-vendor governance strategy, you're a single terms-of-service change away from paralysis.
We don't write policies that sit in SharePoint. We build governance frameworks that enable AI adoption while managing risk, ensuring compliance, and maintaining audit readiness.
Find every AI tool in use across your organization. Network traffic analysis, DNS logs, SaaS discovery, endpoint monitoring, and employee surveys. You can't govern what you can't see. Most clients discover 14+ unauthorized tools.
Custom AI usage policies, acceptable use, data classification, approved tools list. Not boilerplate -- policies tailored to your industry, your workflows, and your risk tolerance. Includes employee acknowledgment forms and enforcement procedures.
Risk classification of every AI system in your environment. Transparency requirements, human oversight mechanisms, technical documentation, and conformity assessment preparation. Ready for enforcement before August 2, 2026.
Quarterly audits: model inventory, data flow mapping, access controls, incident review. Each audit produces a compliance scorecard with findings categorized by severity and specific remediation steps with deadlines.
Every AI agent registered, monitored, access-controlled. Treat agents like employees with least privilege. Agent identity management, behavioral monitoring, data access scoping, anomaly detection, and automated kill switches.
What happens when AI makes a mistake? Response playbooks, stakeholder notification, remediation procedures. Containment protocols, impact assessment frameworks, root cause analysis templates, and regulatory reporting guidance.
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| Area | No Governance | BluetechGreen Framework |
|---|---|---|
| Shadow AI visibility | None -- unknown tools in use | Complete inventory with risk scores |
| AI usage policy | No written policy | Custom framework with enforcement |
| EU AI Act readiness | Unaware of requirements | Classification + documentation done |
| Agent monitoring | Agents run unsupervised | Least privilege + audit trails |
| Incident response | Ad hoc / panic | Playbooks + notification procedures |
| Audit readiness | Cannot produce records | Quarterly audits with scorecards |
| Data classification | General IT policy only | AI-specific data handling rules |
A pragmatic approach that delivers immediate protection while building toward comprehensive governance.
Week 1-2: Find every AI tool, agent, and integration in your environment. Complete shadow AI inventory.
Week 2-3: Classify each AI system by risk level. Map data flows. Identify compliance gaps.
Week 3-5: Create custom AI policies, acceptable use guidelines, and data handling rules.
Week 5-8: Deploy monitoring, enforce policies, train employees, register agents.
Ongoing: Quarterly audits, policy updates, regulatory monitoring, incident response support.
A regional healthcare provider was confident their AI exposure was limited to Microsoft Copilot, which they had deployed to 50 users. Our shadow AI discovery scan revealed 19 unauthorized AI tools in active use -- including three that processed patient data. Two clinical teams were using public ChatGPT for differential diagnosis research with real patient symptoms. We deployed a governance framework in 6 weeks that brought all AI usage under policy control, implemented monitoring, and achieved HIPAA-aligned AI compliance.
The EU AI Act is the world's first comprehensive AI regulation, with enforcement starting August 2, 2026. It applies to any company that deploys AI systems affecting EU residents -- regardless of where the company is headquartered. If you have EU customers, employees, or partners, it likely applies to you. Fines can reach 7% of global annual revenue.
We use a combination of network traffic analysis, DNS query logs, browser extension audits, SaaS discovery tools (like Microsoft Defender for Cloud Apps), endpoint monitoring, and anonymous employee surveys. Most organizations are shocked to find 14+ unauthorized AI tools in active use. Discovery takes 5-7 business days and produces a complete inventory with risk scores.
Our AI policy framework includes: acceptable use policy (what AI tools are approved and for what purposes), data classification rules (what data can be used with which AI tools), approved tools registry, AI procurement guidelines, incident response procedures, employee training requirements, vendor assessment criteria, and executive reporting templates. Each policy is customized to your industry and regulatory requirements.
We recommend quarterly audits as a minimum. Each audit covers: model inventory update, data flow mapping verification, access control review, shadow AI re-scan, incident review, policy compliance check, and regulatory update assessment. For high-risk industries (finance, healthcare, legal), monthly light-touch reviews with quarterly deep audits are recommended.
Agent governance treats AI agents like employees with identity, access controls, and audit trails. Every agent is registered in your system with defined permissions, data access scope, and behavioral boundaries. Without agent governance, an AI agent with broad access is your most privileged -- and least monitored -- user. We implement least-privilege access, activity logging, anomaly detection, and kill switches for every deployed agent.
We create AI incident response playbooks covering: immediate containment (pause or stop the agent), impact assessment (what data was affected, who was impacted), root cause analysis (model error, bad training data, prompt injection, policy gap), stakeholder notification (who needs to know and when), remediation (fix the issue, update guardrails), and documentation (for regulatory compliance and prevention). Think of it as your security incident response plan, adapted for AI-specific failure modes.
Three tiers: Shadow AI Discovery ($5K one-time, produces complete AI inventory and risk assessment), Policy Framework Build ($10-15K, custom governance documentation and initial audit), Ongoing Governance ($3-5K/month, quarterly audits, policy updates, incident response support, regulatory monitoring). Most organizations start with discovery, realize the scope of the problem, and move to full governance within 60 days.
Deploy multi-agent AI workflows
Gamified training that builds AI habits
Connect AI to your existing business systems
GitHub Copilot, code review, AI-assisted dev
Turn data into decisions with AI
On-premise AI with zero data leakage
Free 30-minute consultation. We'll assess your current AI exposure, identify governance gaps, and outline a compliance roadmap for EU AI Act readiness.