WHY NOW
The next step is practical adoption.
Statistics Canada reported that 19.2% of Canadian businesses used AI to produce goods or deliver services during the 12 months before its second-quarter 2026 survey. The federal government has set a target of 60% business adoption by 2034.
Those figures describe different things: recent use and a future target. They point to growing interest, but they do not tell any one organization what to do. That decision starts with the work, the people, and the risks in your setting.
THREE PRINCIPLES
Three principles guide my approach: trust before tools, usefulness before rollout, and data control before scale.
THE NUMBERS
The numbers are context, not a plan
The adoption figures can help frame a discussion with leadership. They cannot identify the right use case, prove a return for your organization, or replace a review of your data and governance.
Sources: adoption figures from Statistics Canada, Canadian Survey on Business Conditions, second quarter 2026 (published 11 June 2026), the last quarter that asked about AI use in the past year. Statistics Canada ended the survey with its third-quarter 2026 release (31 August 2026), which asked only about planned use. The 60% adoption target from AI for All: Canada’s National Artificial Intelligence Strategy, Innovation, Science and Economic Development Canada, launched 4 June 2026. Checked 15 October 2026. These are cited as context, not as endorsement, and no affiliation is implied.
PRINCIPLE 01 · TRUST BEFORE TOOLS
Build trust before choosing tools.
People need to know what an AI tool can do, what it cannot do, and how their information will be handled. A useful first step is to agree on what staff may enter, when a person must review an output, and how to raise concerns.
What this can mean for your organization
- Review data sensitivity and existing privacy or records rules.
- Identify decisions that should remain with people.
- Set practical guidance your staff can understand and follow.
How the work shows up here
The AI Readiness Assessment can help document current practices and identify questions for your leadership team. Any policy or compliance advice should be reviewed by the appropriate legal, privacy, or governance professionals.
PRINCIPLE 02 · USEFULNESS BEFORE ROLLOUT
Prove usefulness before expanding.
Start with a task people do often. Compare the current process with a small, supported trial. Look at time, quality, errors, and whether people would choose to use the new process again.
How the work shows up here
The assessment helps identify candidate workflows. A redesign project can then test one workflow with your team before you invest in a wider rollout.
PRINCIPLE 03 · DATA CONTROL BEFORE SCALE
Decide how data will be controlled.
Before choosing a tool, decide what information it will handle, where that information may be processed or stored, who can access it, and what happens if the vendor relationship ends.
For Northern and Indigenous organizations, those choices should be led by the organization’s own governance and data requirements. The right design may use different infrastructure for different classes of data. It should not assume that one platform fits every need.
Where OCAP® is relevant, confirm the organization’s interpretation and application of the principles with the appropriate rights holders and governance bodies. The full framework is published in the Data Sovereignty & AI whitepaper.
OCAP® is a registered trademark of the First Nations Information Governance Centre (FNIGC). We use the term to show good-faith adherence to the OCAP® principles. It does not imply endorsement, accreditation, or partnership with the FNIGC.
WHAT THIS MEANS FOR YOU
What this means for different organizations
The principles are the same for everyone. What they mean day to day depends on what you do, who you serve, and where you sit.
IF YOU LEAD A SMALL BUSINESS OR MID-MARKET TEAM
Start with one recurring task.
Identify a recurring task where time is being lost. Estimate the current effort, test a practical change, and keep track of whether it helps. The AI ROI Calculator is a place to start.
IF YOU LEAD AN EDUCATION INSTITUTION
Give clear guidance.
Give staff and students clear guidance that fits your institution. Review administrative use cases and policy needs with the people responsible for teaching, privacy, and student wellbeing. The AI Policy Guardrails template can help you draft.
IF YOU LEAD A PUBLIC SECTOR ORGANIZATION
Check the rules first.
Review records, procurement, privacy, and oversight requirements before piloting. Get qualified advice on any legal or regulatory duties that apply.
IF YOU LEAD A NATION OR INDIGENOUS-LED ORG
Let your governance lead.
Let your own governance shape decisions about tools, data, infrastructure, and timing. Build capacity within the organization as part of the work. The Data Sovereignty & AI framework can help put those decisions in front of your governing body.
WHERE TRAVIS CONSULTING FITS
Operator-first. Locally accountable. Built to leave.
National strategies and funding programs can set direction. Your organization still needs to decide which workflow to address, how to manage risk, and who will carry the work forward. I can help with four things.
01 · ASSESS
AI Readiness Assessment
Review skills, workflows, and current tools.
02 · DESIGN
Choose one workflow
Choose a practical workflow to improve.
03 · BUILD
Workflow redesign
Test and document a working solution with your team.
04 · ADVISE
Fractional AI enablement
Review decisions and proposals as the work develops.
Honest framing
The principles on this page are my working approach, not a government position or a guarantee of results. Funding, programs, laws, and adoption figures change. Confirm that any program applies to your organization before making a decision.
Travis Consulting is independent and does not imply endorsement by any vendor, government, or Indigenous organization.
LET’S TALK
Tell me what you are weighing.
Tell me what your organization is weighing: trust, usefulness, data control, or all three. I’ll reply within one business day with an honest view of whether I can help.