Privacy Product Foundations Sprint
A fixed twelve-week engagement that puts a defensible privacy and product foundation in place.
12-week fixed-scope project, milestone billing
Canadian privacy · AI governance · SaaS product
Senior product leadership for Canadian SaaS teams, Series A to pre-IPO, building with sensitive data and AI.
The problem
Somewhere between Series A and Series C, the product moves faster than the people behind it.
Features start touching sensitive data.
AI goes from an experiment to a roadmap commitment.
Quebec Law 25 and the coming federal reform start deciding what you can ship.
That work sits between product, engineering, legal, and security, and it usually has no clear owner. Hiring a senior product leader with real privacy and AI depth takes months, when you can find one at all.
How to work together
A fixed twelve-week engagement that puts a defensible privacy and product foundation in place.
12-week fixed-scope project, milestone billing
Senior judgement on your privacy and AI product decisions, month to month.
6-month minimum retainer, 4 to 5 days per month
A senior product leader who owns strategy, roadmap, and regulatory-aware delivery, part-time.
6-month minimum retainer, 8 to 10 days per month
A ladder, not a menu: you decide at each step, and nothing is committed up front.
Fit
A quick gut check before we talk. It does the qualifying a price tag normally would; pricing is scoped on the fit call and quoted in writing.
The rules that shape the work
The live ones that matter, each stated as what it means for a product decision.
The federal baseline for personal data. It sets how you handle consent, access, and breach response for any product with Canadian users.
Live exposure for anything serving Quebec, from privacy impact assessments to stricter consent. Plan for it early and it stays routine.
The third run at replacing PIPEDA, introduced June 2026. Build with it in mind now and you avoid a retrofit later.
The AI management-system standard. The job is getting your governance to the point a certifying body can audit it.
A voluntary framework for spotting and managing AI risk. We use it as a working scaffold for governance decisions.
A way to manage privacy risk across the product lifecycle, mapped to the calls teams actually make.
Credentials
None of these is rare on its own. Together, they mean the product call, the security posture, and the regulatory exposure get weighed in the same conversation.
Behind the practice
HYNTYT is led by James Dreher, who spent seventeen years building privacy and security products at BlackBerry, Manulife, eSentire, and Qohash. Canadian SaaS teams building with sensitive data and AI now get that same judgement, without the full-time hire.
Thirty minutes to see if it is a fit.
No pitch, no obligation.