Privacy Product Foundations Sprint
A fixed, twelve-week engagement to put a defensible privacy and product foundation in place.
12-week fixed-scope project, milestone billing
Canadian privacy · AI governance · SaaS product
Your roadmap is adding privacy and AI risk faster than you can staff for it.
Senior product leadership for Canadian SaaS companies, Series A to pre-IPO, building with sensitive data and AI features.
17
Years shipping products that handle sensitive data
6
Regulatory and AI frameworks the practice is built on
0
Cookies, trackers, or third-party scripts on this site
3
Ways to engage, from a fixed sprint to a fractional lead
The problem
Growth outruns the team that has to keep it safe
Between Series A and Series C, a product surface changes faster than the team behind it. Features reach sensitive data, AI moves from experiment to roadmap commitment, and Quebec Law 25 and the coming federal reform turn privacy from a legal footnote into a product constraint. The work that holds all of this together sits between product, engineering, legal, and security, and it rarely has a clear owner. Hiring a senior product leader with real privacy and AI depth takes months, if the right person is available at all.
How to work together
Three ways in, one practice
A ladder, not a menu: from a fixed-scope start to owning the product function.
Privacy Product Advisor
Senior judgement on your privacy and AI product decisions, on a steady monthly cadence.
6-month minimum retainer, 4 to 5 days per month
Fractional Head of Product (Privacy and AI)
A senior product leader owning strategy, roadmap, and regulatory-aware execution, part-time.
6-month minimum retainer, 8 to 10 days per month
The ladder
A progression, not a menu
Most engagements start with a Sprint, to prove the working relationship on a contained problem with a fixed end date. The Advisor retainer sustains the work from there, and the Fractional Head of Product role takes ownership when product needs a permanent, if part-time, owner. Each step is a decision made on its own merits, not a commitment made up front.
Fit
Who this is for
This carries the qualification that a price tag normally would.
Who HYNTYT works with
- Mid-market Canadian SaaS, roughly Series A through pre-IPO.
- Privacy law or AI features are actively shaping the product roadmap.
- No senior product leader with privacy depth on staff, or one who wants outside judgement on a specific surface.
Who HYNTYT is not for
- Pre-product-market-fit, or not yet resourced for senior advisory.
- Looking for staff augmentation, a junior PM, or hourly task work.
- Looking for a law firm or a certification body rather than product leadership.
The frameworks that shape the work
Named where the specificity is defensible
Only live, current frameworks. Each stated as a product consequence, not a legal summary.
PIPEDA
The federal baseline for personal data. It shapes consent, access, and breach response in any product that touches Canadian users.
Quebec Law 25
Real regulatory exposure for products serving Quebec, including privacy impact assessments and stricter consent. Something to design around, not a fire drill.
Bill C-27 (CPPA)
The pending overhaul of federal privacy law. Roadmaps set now should anticipate it rather than retrofit later.
ISO 42001
The AI management-system standard. The work is getting governance into the state a certifying body can then audit.
NIST AI RMF
A voluntary framework for identifying and managing AI risk, used as a practical scaffold for governance decisions.
NIST Privacy Framework
A structure for managing privacy risk across the product lifecycle, mapped to how teams actually build.
Credentials
The combination is the point
CISSPPMPDIT candidate (Capella, 2027)MSc Information SystemsBSc Computer SciencePMC-VIIIPSMPSPO
The point is the combination, not any single line on the list: security, product, and doctoral research in privacy, in one practitioner.
Behind the practice
Founder-led, built on shipped work
HYNTYT was founded by James Dreher, drawing on seventeen years building privacy and security products at BlackBerry, Manulife, eSentire, and Qohash. That experience now goes to Canadian SaaS teams building with sensitive data and AI.
Book a 30-minute fit call
A 30-minute conversation to see whether the problem and the practice match. No pitch.