Why general-purpose AI falls short at work
Ask ChatGPT how to handle a situation specific to your business and you get a plausible, generic answer. It has never read your onboarding guide, your service standards, or the framework you spent years refining. For anything that depends on how your organization does things, plausible is not good enough.
What an AI Business Partner is
A custom-branded AI assistant trained on your organization's own knowledge — frameworks, documentation, policies, training material, recorded expertise — so it answers the way an experienced member of your team would.
It can serve your staff internally, your clients externally, or both, depending on how you configure access.
What it is trained on
Whatever genuinely represents how your organization works:
- Standard operating procedures and internal documentation
- Frameworks, methodologies, and playbooks
- Training material and course content
- Recorded sessions and transcripts
- Policies, service standards, and approved answers
Who this is for
Organizations where valuable knowledge sits with a small number of people, and that becomes a bottleneck. Coaches and consultants whose expertise is the product. Teams that answer the same questions repeatedly. Businesses that need consistent answers rather than whatever each person remembers.
What it does not do
Being straight about this matters more than overselling. AI generates probabilistic answers and can be wrong, incomplete, or confidently off-base. An AI Business Partner is built to support judgment, not replace it, and it is not a substitute for professional advice. Human review stays in the loop for anything consequential — we design that in rather than hoping for it.
Frequently asked questions
Is our information used to train public AI models?
No. We do not authorise client materials to be used to train generally available models unless you have explicitly agreed in writing. Details are in our Privacy Policy.
Where does our data actually go?
Processing runs through commercial AI providers, which may include infrastructure outside Canada. If you have specific data-residency, retention, or security requirements, raise them before implementation and we will design around them.
How is this different from just uploading files to ChatGPT?
Configuration, retrieval, and constraint. A production system controls what sources it draws from, how it handles questions outside its knowledge, how it is branded, who can access it, and how it behaves when it does not know. That is the difference between a demo and something you can put in front of clients.
How long does setup take?
[Add: your realistic range. Prospects use this to judge whether to start now or next quarter.]
What does it cost?
[Add: implementation fee structure and whether ongoing hosting/maintenance is separate. Your Terms already distinguish one-time implementation from recurring services — reflect that here.]