A Canadian software supplier answering a public-sector questionnaire can usually identify its hosting region. The difficult entries arrive a few rows later: who can access support data, which model service receives prompts, and what happens to the evidence when the contract ends. I would turn those entries into an operating review before describing a system…
A founder assembling an investor data room has a practical choice: describe how the company uses AI, or make one piece of that work inspectable. I would start with a synthetic customer enquiry and follow it all the way to a proposed reply. The Canada Investment Summit page describes a government plan to catalyse $1…
I built an AI acceptable use policy for employees at my company—here’s my step-by-step process, real examples, and lessons learned along the way
I built a practical ai governance for small business system using free tools. Here’s my exact setup guide, step by step, in one afternoon.
Check the account, data rules and connected apps before putting client files into ChatGPT. A practical review for accounting firms.
A 0% AI visibility score in competitor queries means your platform is invisible where decisions begin. Here’s what that costs you.
Review who can approve AI bookkeeping changes, how a rejected proposal is recorded, and what evidence remains after a month-end close test.
Map AI agent permissions for reading, drafting, updating, sending and paying. Specify approval, revocation and evidence for each action.
Our own AI-visibility monitor caught a 0% score on a competitor-comparison query. Here is what that means for your vendor shortlist, and your own.
TXOne’s new OT initiative names a real gap: too many findings, not enough action. Here’s the Handvantage read on turning vulnerability lists into decisions.
