AI readiness & strategy
Assess workflows, data, and organizational readiness. Prioritize use cases and create a practical adoption roadmap.
Assessments / Roadmaps / Use casesAI strategy / Governance / Cloud architecture
A clear direction.
A responsible
way forward.
Turn your AI ambitions into practical plans, secure foundations, and accountable business decisions.
Built on enterprise engineering experience
Purpose-led technologyGovernance throughout
01 / GOVERN
Clear accountability.
Define ownership, policies, and oversight.
02 / EMPOWER
Practical progress.
Help your people use technology with purpose.
03 / PROTECT
Security by design.
Build safeguards into the systems you rely on.
AI governance explained
Understand your
AI governance risks.
Watch our overview of business risks, potential penalties and practical steps for responsible AI use.
2-minute overview. English captions included.
Discuss your AI governance needsRead the video transcript
AI is already part of everyday business. Without clear rules, sensitive information and important decisions are at risk.
Unapproved tools risk exposing customer data. Biased outputs risk unfair hiring decisions. Unchecked answers risk misleading customers.
Missing governance is not an automatic fine. Penalties depend on the law, the violation and who is covered.
For prohibited practices covered by the EU AI Act, fines reach up to €35 million or 7% of prior-year worldwide turnover. The higher ceiling generally applies. Small and medium enterprises face the lower ceiling.
For serious privacy infringements under EU GDPR, the ceiling is €20 million or 4% of prior-year worldwide turnover, whichever is higher.
Covered businesses also face US privacy penalties. In California, intentional CCPA violations carry administrative fines up to $7,988 per violation.
On June 3, 2026, Rep. Sara Jacobs introduced the Sectoral AI Governance Act of 2026, H.R. 9125. It would authorize agency rules for AI uses likely to materially contribute to violations of existing federal laws. This is proposed legislation, not enacted law. It sets no standalone fine schedule.
Start with approved tools, data rules, trained staff, human review and documented oversight. Review risks before launch and monitor changes.
Browns AI Governance Solutions helps you build practical policies and governance. Contact us to start your AI governance assessment.
Our expertise
Connect the strategy.
Build the foundation.
Bring AI, governance, and engineering together around your organization’s priorities.
Governance & responsible AI
Define policies, ownership, and review practices for the way AI is evaluated, approved, and used.
Policies / Risk reviews / OversightAI workflow automation
Shape focused pilots for repetitive work, with clear integration requirements and measurable goals.
Workflows / Pilots / EnablementCloud architecture
Design secure cloud and hybrid environments around your applications, operations, and business needs.
Azure / AWS / Google CloudSecurity & data controls
Establish access boundaries and responsible information handling across your systems and integrations.
Identity / Access / Data safeguardsTechnical advisory
Translate complex architecture and technology choices into clear decisions and implementation plans.
Reviews / Evaluation / Delivery planningOur mission
Purpose behind
the progress.
At Browns AI & Governance Solutions, our mission is to help organizations adopt AI responsibly, strengthen governance, and protect their data. We combine practical engineering, secure cloud solutions, and human oversight to simplify work, support better decisions, and deliver measurable business value.
How we work
A disciplined path
from idea to use.
Start with the business problem. Agree on success. Build governance into each step.
Frame the challenge.
Review goals, workflows, data, and constraints.
Define the direction.
Set the architecture, responsibilities, controls, and roadmap.
Test the approach.
Evaluate a focused pilot against agreed success measures.
Prepare for use.
Document the solution, enable your team, and establish review.
Lorenzo Brown
Founder
Cloud Architect & Senior Systems Engineer
18+Years of enterprise technology experience
Meet the founder
Engineering experience.
A practical perspective.
Lorenzo Brown is a Cloud Architect and Senior Systems Engineer with more than 18 years of experience in systems administration, enterprise engineering, and technical leadership.
His background spans on-premises infrastructure and Microsoft Azure, Amazon Web Services, and Google Cloud. His work includes hybrid identity, virtualization, Kubernetes, infrastructure automation, and security-focused architecture in regulated environments.
Through Browns AI & Governance Solutions, Lorenzo brings this engineering perspective to responsible AI adoption. He helps organizations connect business goals with practical technical designs, clear ownership, and safeguards suited to their environment.
Cloud architectureIdentity & accessInfrastructure automationEnterprise systems
Before we begin
Clear expectations
from the start.
Where does an engagement start?
Start with an initial conversation about your goals and environment. A written proposal or statement of work then defines the scope, deliverables, responsibilities, and fees before paid work begins.
Does every project require a new platform?
The right starting point depends on your existing systems and business needs. An assessment identifies which capabilities to retain, which to improve, and where new technology adds value.
How are cancellations and refunds handled?
Cancellation, rescheduling, fees, and refund eligibility follow your signed client agreement and applicable law. Read our refund policy for the request process.
Start a conversation
Your goal.
A practical next step.
Tell us what you want to achieve with AI, governance, or cloud. We’ll help define a useful starting point.
[email protected]Leave sensitive records and confidential information out of initial inquiries.