Privacy is not a policy problem. It is an operating-model problem.
Neon Clarity helps organizations govern how personal data is collected, used, shared, retained, and protected across the business. As an AI-native advisory firm, we also understand how AI changes data use, vendor relationships, product decisions, and privacy risk. The goal is not more privacy paperwork. It is clearer ownership and a program that can keep pace with the business.
Data decisions happen everywhere. Privacy ownership usually does not.
Privacy obligations rarely sit neatly inside one team. Legal interprets requirements. Product changes data use. Marketing introduces new platforms. HR manages employee information. Security protects systems. Vendors process data. AI creates new questions faster than policy can answer them.
Nobody has a complete view of how personal data moves.
The organization may know its major systems but still lack a reliable picture of processing activities, vendors, data flows, retention, transfers, and business purpose.
Privacy reviews happen too late.
Product launches, vendor selections, marketing campaigns, AI use cases, and data-sharing decisions reach privacy after the business has already committed to a direction.
Legal requirements exist, but operational ownership is unclear.
A policy can say what should happen. Someone still needs to define who does it, when review is required, how exceptions work, and how the organization proves the process is functioning.
The business is expanding faster than the privacy program.
New markets, new products, new vendors, new data uses, and new AI capabilities can turn a once-manageable privacy posture into a recurring governance problem.
The DPO layer connects requirements to real decisions.
A privacy advisor should help the organization make defensible decisions about data before those decisions become incidents, customer problems, regulatory exposure, or expensive rework.
Neon Clarity helps establish the governance layer between legal interpretation and operational execution.
Define ownership, decision rights, review cadence, escalation, policy direction, and the operating structure around privacy.
Build and maintain a usable understanding of what personal data exists, why it is processed, where it moves, who receives it, and how long it is retained.
Create a repeatable way to review products, processing activities, vendors, transfers, and higher-risk uses of data before deployment.
Help structure data subject request workflows, escalation, privacy incident coordination, and the responsibilities surrounding them.
Translate privacy exposure into business decisions and help leadership understand obligations, tradeoffs, and program maturity.
The program earns its value in the decisions it changes.
Privacy governance matters most when the business is deciding what to collect, what to keep, who to share it with, and whether a new use of data is appropriate.
Can we launch this feature the way it is designed?
Assess data collection, purpose, transparency, retention, user choice, security, vendor dependencies, and whether a privacy review changes the design.
Can we use this data for this campaign?
Evaluate source, consent or other applicable basis, platform behavior, tracking, disclosure, segmentation, and downstream sharing.
What does this third party actually get access to?
Understand processing scope, contract terms, subprocessors, retention, transfer considerations, security expectations, and ongoing oversight.
Can this data be used in an AI system?
Connect privacy, security, purpose limitation, vendor terms, retention, model behavior, human oversight, and governance before use becomes normalized.
What changes when we enter a new market?
Identify how jurisdiction, customer mix, data practices, contracts, and operating model affect the privacy program before growth creates avoidable rework.
A privacy program people can actually use.
The exact scope depends on the organization, data environment, customer base, and applicable obligations. The goal is always the same: turn privacy from a collection of documents into a working management system.
Governance model
Roles, responsibilities, decision rights, escalation, reporting, and recurring oversight across the business.
Data inventory & mapping
A usable record of systems, processing purposes, data categories, recipients, retention, and critical flows.
DPIA & privacy-by-design
Repeatable review for new products, vendors, processing activities, data uses, and higher-risk changes.
Request management
Defined intake, identity verification, ownership, fulfillment, exception handling, and evidence for individual rights requests.
Policies & notices
Privacy documentation aligned to actual processing and written so the business can operate consistently with what it says.
Vendor & data-use governance
Structured review of third parties, contracts, subprocessors, data sharing, retention, and changing business use.
Privacy leadership should complement legal counsel, security, and product teams.
Neon Clarity does not replace the work of your attorneys, security operators, product owners, HR leaders, or marketers. We help connect those functions through an operating model that makes privacy decisions clearer and more consistent.
Legal interprets.
Privacy advisory helps translate legal requirements and contractual obligations into repeatable operational decisions.
Product and business teams execute.
They design products, choose vendors, launch campaigns, hire people, and determine how the organization actually uses data.
Security protects.
Security establishes technical and operational safeguards. Privacy governance determines whether the collection and use itself is appropriate and accountable.
The DPO layer governs.
We help connect requirements, business purpose, data practices, risk, accountability, and evidence into one coherent program.
Privacy advice is only useful if it survives contact with the business.
We approach privacy as an operating problem, not a document-production exercise. That means working through how decisions are actually made across product, security, legal, marketing, HR, vendors, and leadership.
The advisor in the leadership conversation is the practitioner working through the data flows, review process, and program decisions.
We take obligations seriously without pretending the organization can stop operating while every ambiguity is eliminated.
Privacy rarely fails because one team lacks a policy. It fails at the handoffs between teams, systems, vendors, and decisions.
We understand privacy in an environment where AI changes how data is accessed, combined, inferred, processed, and shared. We use AI-enabled workflows to accelerate analysis while keeping practitioner judgment accountable.
The goal is a program your teams understand and can operate, not permanent dependence on an external advisor.
Privacy leadership priced around the program you actually have.
DPO and privacy advisory engagements are structured as monthly retainers. Investment scales with jurisdictional coverage, processing complexity, regulatory exposure, AI and data use, and the level of ongoing governance required.
Every engagement includes direct access to the advisor responsible for the work, recurring privacy governance, practical decision support, and an operating model that connects legal requirements to product, security, vendors, data use, and leadership.
Talk Through Your Privacy ProgramThe number and complexity of applicable privacy regimes, customer geographies, and cross-border data considerations.
Volume and sensitivity of personal data, number of systems and processors, data flows, and higher-risk processing activities.
DPIAs, DSAR oversight, vendor reviews, privacy-by-design decisions, regulatory change, and recurring business review needs.
AI-enabled products, generative AI use, automated decision-making, model or vendor data practices, and changing data-use questions.
Some organizations need a designated DPO. Others need senior privacy leadership without formal designation. We scope the role around the actual obligation and operating need.
Before you call.
Do we need a DPO if we are not required to appoint one under GDPR?
Many organizations retain privacy leadership on a fractional basis even without a formal legal requirement, because the underlying decisions around data use, vendor risk, and customer commitments exist regardless of the specific regulatory requirement.
Can you serve as our organization's official Data Protection Officer of record?
Yes, where that formal designation is required and appropriate, in addition to the broader advisory work.
How does this work alongside our legal team?
Legal typically owns contractual and regulatory interpretation. This role focuses on operationalizing those obligations across product, security, marketing, and vendor decisions, and the two work closely together rather than duplicating effort.
Do you handle Data Subject Access Requests directly?
We help design and oversee the DSAR process, including intake, verification, and response workflows. Whether we handle individual requests directly is scoped as part of the engagement.
What is the difference between this and a Privacy Impact Assessment?
A Privacy Impact Assessment is a point-in-time evaluation of a specific project or system. This is ongoing leadership across all of the decisions a PIA would only capture a snapshot of.
You do not need to know whether the answer is a DPO, an assessment, or a policy project.
Bring us the product change, customer requirement, expansion plan, data-use question, AI use case, vendor concern, or privacy backlog. We can help determine what kind of advisory support actually fits.