Case Studies
Governance work that goes into production.
The organizations that get AI right are the ones that build governance infrastructure before something requires them to. These are two that chose to move forward responsibly.
Psychiatric AI Documentation Startup
A clinical AI system handling psychiatric patient data, built to support documentation and clinical decision workflows. Provenance built the governance infrastructure end to end, before a single clinical user enrolled.
Deliverables
Governance Profile
Full AI disclosure in every output. Scope constraints documented and communicated to end users.
Baseline monitoring in place. Incident response protocols formalized before pilot expansion.
Mandatory human approval and attestation at every output. Source distinction in review interface still to come.
Data pipeline contained within a single cloud environment. Key compliance agreements identified as the most urgent pre-launch item.
No model fine-tuning on proprietary data reduces bias risk. Equity assessment planned before pilot expansion.
Outcomes
A risk-classified, audit-ready system with mandatory human oversight at every output. Governance designed into the product, not added after the fact.
Canadian Arts Nonprofit
A Toronto-based nonprofit serving Indigenous artists and youth. They wanted to adopt AI responsibly. Provenance built the governance and fluency infrastructure that made that possible.
The Engagement
This was not just a governance engagement. The team had no prior AI experience, so the work balanced two goals: building the fluency infrastructure that would let staff actually use AI tools with confidence, and building the governance infrastructure that would make that use responsible.
Provenance evaluated tools for workflow fit, developed research protocols, and created a learning path designed around a lean team with limited time. At the same time, the governance framework was grounded in five Canadian legal frameworks: PIPEDA, OCAP principles, the Ontario Human Rights Code, CASL, and the Child, Youth and Family Services Act.
The result was an organization that could innovate and protect its communities at the same time.
Deliverables
Regulatory Frameworks
Outcomes
A lean team with real governance infrastructure, written in language they could actually use.
Ready to build something responsibly?
Provenance works with organizations at any stage of AI adoption.
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