AI Safety Force

Adopt AI with clear governance and confidence.

Practical support to assess AI risks, strengthen privacy and ethical oversight, and prepare for regulatory requirements. Turn uncertainty into policies, assessments, and a clear implementation roadmap.

DATA PRIVACYETHICSREGULATORYHUMAN BENEFIT
ILLUSTRATIVE ASSESSMENT • NOT A CLIENT RESULT
Consulting services

From AI ambition to accountable action.

Start with the decision you need to make. Build an engagement around your systems, people, and risk context.

01 / Advisory

AI governance

For leaders moving from experimentation to accountable AI use.

Typical deliverables
AI inventory, ownership model, acceptable-use policy, and oversight roadmap.

Discuss this service
02 / Advisory

Ethics & impact assessment

For teams making decisions that affect people.

Typical deliverables
Stakeholder impact review, fairness considerations, and human oversight recommendations.

Discuss this service
03 / Advisory

Risk assurance

For organizations evaluating an AI system or vendor.

Typical deliverables
Evidence review, prioritized risk register, control gaps, and a mitigation plan.

Discuss this service
04 / Advisory

Privacy & regulatory readiness

For teams preparing to demonstrate responsible data and AI practices.

Typical deliverables
Data-flow review, requirements mapping, readiness gaps, and documentation priorities.

Discuss this service
05 / Advisory

Leadership & team training

For decision-makers and teams adopting AI in day-to-day work.

Typical deliverables
Role-specific workshops, practical scenarios, and guidance for safer use.

Discuss this service
Our approach

Clear scope. Useful evidence. Practical next steps.

AI Safety Force focuses on the decisions, responsibilities, and controls that make responsible adoption workable.

01 / Discover

Understand the context

Define the AI use case, affected people, decision owners, and questions the engagement must answer.

02 / Assess

Review the evidence

Examine documentation, data practices, and controls. Record gaps, assumptions, and limitations.

03 / Act

Make the next steps clear

Prioritize recommendations with owners and an implementation roadmap. Agree how progress will be reviewed.

What an assessment means

An advisory assessment identifies risks and improvement opportunities within an agreed scope. It does not guarantee legal compliance, certify a system as safe, or replace advice from qualified legal counsel. Any framework mapping should identify the version, applicability, evidence, and limitations.

View an illustrative assessment outline →
Specialist assessment packages

A closer look at the decisions that matter.

Our existing frameworks provide a starting point for a scoped advisory engagement. Deliverables and applicable requirements are agreed before work begins.

Advisory assessment

Cost-Benefit-Employability

  • Cost of replacing human roles with AI over time
  • Ethical implications
  • Alternative: productivity enhancement of existing processes
Discuss this assessment →
Advisory assessment

CBE+

  • Regulatory-readiness considerations for workforce AI use
  • Safety / human rights
  • Maintenance estimation over time
Discuss this assessment →
Advisory assessment

Canadian Compliance Framework

  • Map relevant Canadian requirements to the agreed use case
  • Review privacy, ethics, human impact, and readiness gaps
  • Document findings, supporting evidence, and limitations
  • Risk identification & mitigation strategies
Discuss this assessment →
Blog

Latest writing

Notes on AI governance, compliance, and safe implementation.

JUL 2026

Why cost-benefit analysis alone misses the real risk of replacing staff with AI

Cost savings are the easy part of the calculation. The regulatory and ethical exposure is where additional assessment is needed.

Read →
JUN 2026

What the Canadian Compliance Framework actually checks

A walkthrough of the four categories behind an advisory assessment, and why we score them separately instead of as one number.

Read →
Start a conversation

A clear starting point for your AI priorities.

Discuss what you are building or adopting, where the uncertainty sits, and what a useful engagement would deliver.

What to bring

  • A short description of your AI use case
  • Your main governance, privacy, or risk questions
  • Your timeline and decision-makers
Prepare a consultation inquiry →

Online scheduling is not available yet. Prepare your inquiry below.

Contact

Tell us what you’re working on.

Prepare an inquiry, then open it in your email app to review and send.

Please avoid personal, confidential, or sensitive project data. How this site handles information

Make the first conversation useful.

Describe the decision you need to make and the outcome you want. We can then discuss scope, deliverables, and whether an engagement fits.

Before an engagement

Agree the work, responsibilities, timing, fees, and confidentiality arrangements before sharing detailed evidence.

garnett@aisafetyforce.com