Put AI to work where it actually helps.
You know AI could probably help your business. The hard part is knowing what to build, what to skip, and how to bring it in without creating a mess. That is the work we do.
A high-touch engagement, tailored to one business at a time. No technical background needed on your side.
Plenty of AI. Not much of a plan.
Handing the team a chatbot subscription and hoping for the best is the most common AI strategy in small business. It usually produces a few saved minutes, some odd documents, and not much else. The problem is rarely the tools. It is that nobody has decided what AI is actually for in this company. That is the conversation we keep having with owners across Vancouver and the Lower Mainland.
Worth a conversation if…
You keep hearing what AI can do for companies like yours, but cannot see where it fits your own operation.
Your team uses ChatGPT here and there, with no shared standards and very uneven results.
There is repetitive admin, intake, or paperwork you suspect a system should be handling by now.
You want the benefit of AI without handing important decisions to a machine.
You tried a tool or two, and nothing stuck.
Designed around your business, not around the tools.
The work runs from finding the right opportunities to implementing and refining the assistants themselves. Five threads, in roughly this order.
- 01
Find the real opportunities
We sit with how your business actually runs: where work comes in, how it moves between people, where it stalls. From that map we identify the places AI can carry real weight, and the places it should stay out of.
- 02
Design the assistants
We design AI assistants around specific jobs: what each one does, what information it works from, and what it hands to whom. Several small, focused assistants working to the same standards beat one bot that tries to do everything.
- 03
Organize the knowledge
An assistant is only as good as what it knows. We organize your approved documents, procedures, and standards so the AI works from your business's real information, and only the version of it you have approved.
- 04
Set the guardrails
We define roles, permissions, and the points where a person reviews or approves before anything consequential happens. AI drafts, organizes, and prepares. People decide.
- 05
Build, test, refine
We implement the practical, lower-risk workflows first, test how they fail as well as how they succeed, and refine what proves useful. Anything that does not earn its keep gets cut.
What this looks like inside a real business.
No jargon required. Each of these is an assistant with one clear job, working from your company's own information, with a person in the loop where it matters.
An internal company assistant
Grounded in your approved procedures, policies, and documents, so your team gets your answer to routine questions instead of a guess from the open internet.
Project and operations assistants
Keep track of moving work: summarize what changed, surface what is stuck, and prepare the morning picture so nobody has to assemble it by hand.
Intake and routing assistants
Read routine incoming information, classify it, organize it, and send it where it belongs, so requests stop sitting unread in a shared inbox.
Marketing and research assistants
Gather and organize information, then prepare first drafts for a person to shape, so the blank page stops being the bottleneck.
Review and QA assistants
Check finished work against your standards and checklists before it goes out, and flag what a person should look at twice.
A team of specialized assistants
Several focused assistants that share your company's durable standards while staying separated by role, with human approval gates wherever the work has consequences.
These are examples, not a menu you have to order everything from. Plenty of businesses need exactly one of them. Part of the consulting is telling you which, and whether any of them are worth building for you right now.
High-touch at every step.
This is a tailored engagement, shaped around one business at a time. It starts small on purpose, and it only grows where the results justify it.
Talk through an AI opportunity- 01
A conversation about the business
Thirty minutes on how your company operates. Where the hours go, what gets dropped, what you wish ran itself. No preparation needed, and no technical vocabulary required on your side.
- 02
An honest assessment
We come back with where AI can help, roughly what that involves, and just as importantly, where it will not help. If the honest answer is that you do not need this yet, that is the answer you get.
- 03
Design and implementation
We design the assistants, organize the knowledge they rely on, set the roles and approval points, and build the practical, lower-risk workflows first.
- 04
Proof, then refinement
You see it working on real work, not a demo. We tune what is useful, fix what is not, and expand only where the results justify it.
The promises we refuse to make.
Most of what makes AI projects fail is overpromising at the start. So the boundaries are part of the service.
We will not promise that AI runs your company by itself.
It does not, and anyone telling you otherwise is selling something. What it can do is carry a meaningful share of the repetitive work around your people.
We will not promise guaranteed savings or a tidy number of hours saved.
We would be inventing it. What we can do is show you the system working on your real work before you rely on it.
We will not remove people from decisions that matter.
Consequential work keeps a human approval point, by design. AI prepares; your people decide.
We will not build for high-stakes regulated domains.
Medical, legal, financial, banking, payroll, and security-critical systems need specialist firms, and we point you toward one rather than take the work.
We will not push AI where a simpler system does the job.
Sometimes the right answer is a plain rule-based automation, or a process change, or nothing. Recommending the boring option is part of the service.
Where this connects.
AI Consulting decides where AI belongs and designs what gets built. These neighbouring services are where that design often lands, and each has its own page.
Questions owners actually ask.
No. The engagement is designed around plain language. You explain how the business runs; we handle the technical side and explain every decision in terms of what it means for the work.
No. Handing a team a generic chatbot is exactly the approach we think fails. We design assistants around your specific workflows, your documents, and your standards, then implement them. Showing your team how to work with what we build is part of the engagement, not the whole of it.
It is a tailored engagement, so it is scoped to your business after a conversation rather than priced as a standard package. The consultation itself is free, and you will leave it with a clear idea of what we would propose and why.
That is not what we build. The assistants take on repetitive, lower-risk work: organizing, drafting, summarizing, routing. Decisions that matter keep a person in the loop, and your team's judgement is exactly what the guardrails are designed around.
Service businesses and small operations with real workflows and real admin: trades, builders, agencies, property, professional services. It is not for highly regulated or highly sensitive systems in medicine, law, finance, banking, payroll, or security, all of which we leave to specialist firms.
AI Consulting answers the bigger question: where AI belongs in your company, and what set of assistants, knowledge, and guardrails to build around that answer. AI Workflow Automation is one specific workflow where AI does useful processing, drafting, or routing. If you can already name the exact workflow, start there.
We tell you, early. Part of the assessment is naming where AI will not help, and sometimes the right recommendation is a simpler automation or no change at all. We would rather find that out now than build something your team stops using in a month.
Come with the question. Leave with a plan.
A hunch that things could run smoother is all you need to arrive with. You will hear where we think AI belongs in your company, and where it does not.