Disclaimer
Effective Date: May 12, 2026
The information provided on this website is for general informational, educational, and strategic discussion purposes only.
Foundeon discusses topics related to enterprise AI transformation, AI strategy, governance, auditability, digital identity ownership, data foundations, operating models, and related areas. The content is not intended to replace qualified professional advice.
1. No Professional Advice
Content on this website does not constitute legal, financial, regulatory, compliance, tax, investment, cybersecurity, risk-management, technical, operational, or other professional advice.
You should consult qualified professional advisors before making decisions based on legal, regulatory, financial, compliance, technical, operational, security, or risk-related considerations.
2. No Client Relationship
Use of this website, submission of a contact form, downloading materials, sending an email, scheduling a conversation, or communicating with Foundeon does not create a client, advisory, fiduciary, consulting, or professional relationship.
Any advisory or consulting relationship must be separately agreed to in a written agreement signed by the relevant parties.
3. No Guarantee of Results
Foundeon may discuss frameworks, diagnostics, assessments, transformation paths, governance models, auditability structures, operating models, metrics, and related methodologies.
These materials are provided for informational and strategic discussion purposes only and do not guarantee any specific business, operational, regulatory, financial, technical, compliance, or transformation outcome.
4. AI and Technology Risk
AI transformation, data governance, automation, analytics, agentic systems, model deployment, and technology implementation involve risks that vary by organization, industry, jurisdiction, use case, data environment, operating model, and governance structure.
Organizations are responsible for conducting their own due diligence, risk assessment, legal review, security review, compliance review, technical validation, operating model review, and governance approval before implementing AI-related strategies, systems, workflows, or tools.
5. No Confidential Information Through Public Website
Please do not submit confidential, proprietary, regulated, sensitive, legally privileged, client-specific, customer-specific, or non-public business information through public website forms, email links, or scheduling tools unless a written agreement is already in place.
Foundeon's public website is not intended to receive or store confidential engagement materials or sensitive enterprise information.
6. Public Website Content and Automated Access
This website is publicly accessible. Public website content may be indexed by search engines, accessed by automated crawlers, or collected by third-party systems outside Foundeon's control.
Foundeon does not authorize unauthorized scraping, harvesting, copying, extraction, commercial reuse, or use of website content for artificial intelligence training, dataset enrichment, or similar purposes without prior written permission.
Foundeon does not publish confidential customer information, client-specific materials, proprietary client data, regulated client information, or sensitive engagement details on this website.
7. External Links
This website may include links to third-party websites, tools, resources, publications, scheduling platforms, or forms. These links are provided for convenience only.
Foundeon does not control and is not responsible for third-party content, privacy practices, policies, security, availability, or accuracy.
8. Intellectual Property Notice
Unless otherwise stated, the content, frameworks, visuals, language, diagrams, page structure, and materials on this website are owned by Anna Jibgashvili or used with permission.
DSIL™ and Foundational Data Products™ are proprietary marks and framework names of Anna Jibgashvili. Trademark applications are pending.
Do not use, reproduce, modify, distribute, scrape, harvest, commercially exploit, or create derivative works from site materials without prior written permission.