Resources

Working tools for teams evaluating sovereign AI

The same checklists, cost models, and templates we use inside CanadianUS sovereignty assessments — free, practical, and honest about when cloud is the right answer. Enter your details once per download; instant download, no spam — see our privacy policy.

HTML · print-ready

Sovereign AI Readiness Checklist

28 questions across data classes, regulatory obligations, workloads, infrastructure, and governance — with scoring bands that tell you whether to deploy now or map your data first.

  • Five sections your auditors will actually ask about
  • Scoring guide: deployment-ready vs. assessment-first
  • Print-styled for working sessions
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CSV · open in Excel/Sheets

On-Prem LLM TCO Model

A transparent cost model for three hardware tiers — 2-GPU workgroup, 8-GPU node, 4-node cluster — with power, colo, maintenance, and ops lines vs. cloud API cost curves at 1M/10M/100M tokens per day.

  • Every derived row states its formula
  • Break-even token volumes vs. frontier and value APIs
  • Editable assumptions: your power rate, your quotes
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Markdown · adaptable

AI Data Governance Policy Template

A serious, counsel-reviewable starting policy: four data classes, an approved-systems register, prohibited flows, on-prem AI provisions, incident handling, and review cadence.

  • Covers shadow AI, SaaS "AI feature" toggles, derivatives
  • On-prem provisions: isolation, logging, model change management
  • Bracketed fields make adaptation a 1-hour job
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Markdown · 28 prompts

The Sovereign AI Prompt Pack

28 field-tested prompts for legal, healthcare, and financial teams running internal LLMs: matter summaries, discovery triage, referral letters, credit memos, model-risk documentation, and more.

  • Every prompt grounds, cites, and escalates uncertainty
  • Legal, healthcare, finance, and cross-functional sections
  • Built for data you could never paste into a public chatbot
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Markdown · 5 skill templates

Skills for Sovereign AI Deployments

Five copy-paste agent skill definitions for internal deployments: contract review, PHI-safe scribe, model eval harness, incident report, and regulatory gap check — each with hard rules and output contracts.

  • System-prompt modules with input/output contracts
  • Grounding, escalation, and human-review rules built in
  • Deployment guidance: versioning, evals, logging
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