AI consulting
that ends in a working system.
One AI system connected to every software and platform you use. Consulting and implementation together: we map the system, then build it, wire it into your accounts, and keep it running.
> scanning your stack...▌
SOPs, prices, customers, history. It never walks into a situation blind.
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StripeWhat AI consulting covers
Rosic Analytics and Solutions provides AI consulting services from Toronto, running from strategy through to implementation. Two things happen in a build like this. The obvious one is that repetitive work stops being done by hand: the reading, copying, formatting and checking that quietly consumes hours. The less obvious one matters more. Once the system is connected to the software and accounts you already run, you can point it at work directly and it goes and does it, across your tools, without you assembling anything first. The list below is the kind of work these systems get sent after.
Tracked 4,180 competitor prices overnight
Read 2,300 competitor reviews, found the gap
3 government tenders matched, responses drafted
Voice memo to sent quote in 9 minutes
One podcast into 20 clips and a newsletter
18 supplier PDFs into one clean catalog
What AI should and should not be doing
AI is good at volume and bad at judgment. Pointed at the right work it changes what a team can get through. Pointed at the wrong work it produces confident nonsense at scale. The line is not subtle, and getting it right is most of what this job is.
- Mechanical work on a screen: reading, copying, formatting, checking, cross-referencing.
- Running the same process a thousand times without getting bored or sloppy.
- Research across sources that would take a person a week.
- Completing tasks in volumes that were never realistic by hand.
- Strategy and high level decisions.
- Creative direction and anything written to sound like you.
- Pricing calls and client relationships.
- Any judgment that carries real consequence.
Your people should be spending their hours on the parts that only people can do. Everything else is what the system is for.
Same day. Multiplied.
The point is not doing your work a little faster. It is doing amounts of it that were never on the table. Illustrative day, real kind of gap.
Same business. Same payroll. The work stopped being the limit.
AI consulting questions, answered
What is AI consulting?
AI consulting is the work of deciding where AI belongs in a business and then building it there. The decision is not whether to use it, it is which specific work to point it at: what repeats, what it costs in hours, and what a system can take over reliably. From there it moves into implementation, because advice that never ships does not change anything.
What kinds of work should a business use AI for?
Four kinds. Manual computer work: reading, copying, formatting, checking, moving information between systems. Volume work: completing a task hundreds or thousands of times, at a scale that was never realistic by hand. Automated processes: the sequences that run the same way every time and only need a person when something is unusual. And research, which is the one most businesses underuse. AI is only as good as what it can reach, so the work is in giving it access to sources it does not have by default: custom scrapers that gather and analyse data at volume, APIs that reach information sitting behind a paywall, and internal data no search engine will ever return. Given those, it will get through more material in an hour than a person can in a week.
What should AI not be used for?
Anything that requires judgment, taste, or accountability. Strategy, creative direction, pricing decisions, client relationships, and writing that is supposed to sound like you. AI is a tool with a specific set of strengths, and treating it as a replacement for the people doing your highest value work produces generic output and decisions nobody can defend. The systems we build free your team up for that work rather than attempting it.
What is the difference between AI consulting and AI implementation?
Consulting is the decision layer: what to point AI at, in what order, and what it is worth. Implementation is the build, and it is where most of the work is. We do both, and we do the building ourselves. That means connecting the system to your accounts, testing it against real work, fixing what breaks, and maintaining it after launch. A lot of firms stop at the recommendation. The engagement here is not finished until something is running.
How is this different from our team just using ChatGPT?
Most people use ChatGPT or Claude as something to talk to. You ask a question, it answers, and then you go and do the work yourself. The systems we build give it hands. It is connected to your accounts and data, so it already has the context, and it goes and completes the task instead of describing how. That also means it can run at volumes and on schedules nobody is sitting there triggering by hand. The model is largely the same. The difference is everything built around it.
What does AI consulting cost?
Pricing is per project rather than per hour, because the value is tied to the work being removed and not the time spent building. A simple system is typically a one time build starting around $1,000. Larger infrastructure across multiple departments runs $15,000 and up. The first conversation is free and ends with a defined scope and a number.
Will it replace my team?
No. It takes the busywork off your team so their hours go to work that needs a person. The businesses that get the most out of this keep the same people and get a lot more done.
Do I need to be technical?
No. You show us how the work flows today and approve things as they go live. We handle the build, the connections to your tools, and the upkeep.
How fast can a first system be live?
A first module is usually live within a few weeks. From there we add one module at a time. Around ninety days in, a day at your business starts looking like the one on this page.
What would you hand off first?
Reach out and tell us. We'll map the system that takes it off your plate. Built in Toronto, wired in anywhere.