Know exactly where personal data goes — across every system, vendor, and integration — with defensible architecture documentation your compliance, legal, and engineering teams can rely on.
For fintech, healthtech, and regulated SaaS teams that need to prove privacy, not just policy.
Architecture-first privacy for organizations that need to prove it.
Defensible proof that personal data is handled correctly — across your systems, vendors, and infrastructure.
Click for moreData flow diagrams, system processing documentation, and vendor data registers. Traceable evidence your audit and legal teams can act on directly.
Click to flip backRespond to due diligence questionnaires with accurate, documented data flows already in hand. No guesswork under deadline pressure.
Click for morePre-prepared architecture documentation that maps to common questionnaire themes. Your team won't be scrambling to find answers under deadline pressure.
Click to flip backGive procurement teams clear, defensible documentation and close deals faster by answering privacy questions before they're asked.
Click for moreArchitecture artifacts that answer the privacy questions buyers ask before signing, reducing back-and-forth and demonstrating operational maturity.
Click to flip backThe Provenance Approach
Most organizations approach privacy compliance from a legal or policy perspective first. That makes sense on paper — but in practice, compliance is determined by how systems are designed and how data actually moves through them.
Personal data lives in APIs, databases, services, and third-party integrations. If those flows are not clearly understood and intentionally designed, compliance becomes difficult to manage and even harder to prove.
Security and procurement questionnaires can be answered more efficiently, with documentation already in place.
Audits are supported by clear, traceable evidence rather than reconstructed after the fact.
Regulatory inquiries can be addressed with confidence, backed by concrete technical documentation.
Engineering teams can build with privacy in mind from the start, not retrofit it later.
A structured engagement ladder from initial data inventory to a complete architectural map of how personal data moves through your organization.
Identifies where personal data enters your organization and establishes a clear inventory of data sources, collection points, and personal data categories, including forms, APIs, and third-party integrations.
Maps how personal data moves across applications, infrastructure, internal services, and vendor systems. Produces data flow diagrams and system-to-system transfer documentation with trust boundary identification.
Analyzes how and why personal data is processed across systems and vendors, including a full processing activity inventory, purpose-of-processing documentation, and vendor processing analysis.
Ongoing advisory support for organizations that want continuous visibility and governance across their personal data lifecycle — without requiring a full-time internal privacy architect.
Evaluate how personal data enters, flows through, and is used within AI systems, including training data sources and model inputs.
Deep analysis of vendor and subprocessor data processing activities, including data access, processing roles, and cross-border transfers.
Align Provenance Architecture outputs with ISO/IEC 27701 PIMS requirements and identify control or governance gaps.
Interactive workshop for engineering and product teams covering Privacy by Design and personal data architecture principles.
Assistance responding to privacy and security questionnaires, including documentation of data flows and architecture.
Our proprietary air-gapped platform combines static code analysis, data flow mapping, and governance tooling. Every finding links to concrete technical evidence — no black boxes, no unverifiable claims. You get documentation your engineers and legal teams can both trust.
Privacy laws differ by region, but they are built on many of the same core principles. When those principles are reflected in your system architecture, it becomes much easier to align with multiple regulatory frameworks at once.
Select a region to see the privacy frameworks we support.
Provenance Advisory provides technical and architectural guidance to help organizations operationalize privacy requirements within their systems. We are not a law firm and do not provide legal advice. We do not certify, guarantee, or formally attest to compliance with any law or regulation. Our role is to help you build the technical foundation and supporting evidence so your legal, compliance, and audit teams can confidently assess and demonstrate compliance.
Let's document how personal data moves through your systems and vendors, with evidence your compliance, legal, and engineering teams can rely on.
Discuss Your Privacy Architecture
Privacy Systems Architect
Founder — Provenance Advisory, LLC
taylor@provadvisory.com | 801-866-3166
Taylor Williams is a Privacy Systems Architect and founder of Provenance Advisory, helping organizations design, assess, and prove how personal data is handled across modern technical systems. His work focuses on translating privacy, security, and regulatory requirements into concrete, system-level controls.
He holds a Master's in Information Security Policy & Management from Carnegie Mellon University, along with the Certified Information Privacy Technologist (CIPT) credential from IAPP and the ISO/IEC 27701 Implementer certification from PECB.
Taylor has spent three years on a global GRC team at a Fortune 500 company, supporting data privacy, SOX compliance, and secure SDLC initiatives. Through Provenance Advisory, he works with regulated and high-growth companies to improve visibility into data flows and create audit-ready evidence that aligns technical reality with regulatory obligations.