AI Consulting
Straight answers on where AI actually helps your business — and where it doesn't. Use-case assessment, tool selection, policy, and pilots that prove value before you spend real money.
[ 01 ] Overview
Every business is being told it needs AI right now, usually by someone selling it. The truth is quieter: some workflows benefit enormously, some see nothing, and the difference isn't obvious from a sales deck. The consulting work here is figuring out which is which for your operation — before you've committed to licenses, migrations, or a vendor whose demo was better than their product.
We use these tools daily in our own shop — AI-assisted development, document processing, drafting, research — so the advice comes from production use, not from a certification course. We'll tell you which of your workflows are genuinely good candidates (repetitive text and document work usually is), which aren't (anything where a confident wrong answer costs you money or reputation), and what the realistic effort looks like to get from a promising demo to something your staff actually uses.
The engagement is honest by design. If the right answer is a $30-a-month subscription and two hours of staff training, that's the recommendation — not a six-month transformation roadmap. And if a workflow shouldn't use AI at all — because of data sensitivity, compliance exposure, or because a plain script would do the job better — we'll say that too, in writing.
What you'll get
- Use-case assessment. a walk through your actual workflows, ranked by where AI genuinely earns its keep
- Tool and model selection. Claude, ChatGPT, Copilot, or none of the above, matched to the task and the budget
- AI usage policy. a written policy covering what staff may paste into which tools, reviewed against your compliance needs
- Data exposure review. what your current AI tools are already seeing, and how to close what shouldn't be open
- Staff training. practical sessions on prompting, verification, and the failure modes that matter, in plain English
- Pilot design. a small, measurable trial with success criteria agreed up front, so the decision to expand is based on results
- Written recommendations. what to adopt, what to skip, what to revisit in a year, with the reasoning included
Our process
- Discovery. what you do all day, where the repetitive work lives, what you're already paying for
- Assessment. which workflows are strong AI candidates, which are poor fits, and why
- Recommendation. tools, policy, and a pilot plan in writing, sized to your budget
- Pilot. a bounded trial with real work and agreed success criteria
- Decision. expand, adjust, or stop, based on what the pilot actually showed
[ 02 ] Common questions
Do we actually need AI?
Maybe not — and that's a real possible outcome of the engagement. If your workflows don't have much repetitive text, document, or data work in them, we'll tell you there's no strong case yet and what would change that. You'd be surprised how often the honest recommendation is a small subscription and some training rather than a project.
Which AI tools do you recommend?
It depends on the task, and we're not a reseller for any of them — no commissions, no partner quotas. In practice: Claude and ChatGPT for general knowledge work, Microsoft Copilot where a business already lives in 365, and purpose-built tools where they clearly beat the general ones. We use Claude heavily in our own operation and will show you exactly how.
What about our data? Is it safe to put into these tools?
That's usually the most valuable part of the engagement. Consumer AI plans and business/API plans handle your data very differently — some train on what you type, some don't, and the difference is in the fine print. We'll map which of your data can go where, set up business-tier accounts with the right settings, and put it in a written policy your staff can actually follow.
Can you train our staff?
Yes — short, practical sessions built around your real work, not generic demos. How to prompt well, how to verify output, what never to paste in, and where the tools confidently get things wrong. An hour or two of honest training prevents most of the expensive mistakes.
How do you charge for AI consulting?
Fixed-fee for assessments and policy work — you know the number before we start. Hourly for training and ad-hoc advice. If the engagement leads to integration work you can hire us to build it, but the consulting stands on its own and never obligates you to buy anything else from us.
Want a quote on this?
Send a paragraph about what you're trying to do, we'll come back inside 24 hours.