Business AI Advisor
ATLACIS helps business owners choose the right AI tools, avoid the wrong ones, and know what to do first. When deeper work is needed, we quote implementation separately.
Miami-based Business AI Advisor for small and medium business owners.
You need someone you trust to tell you what to use, what to avoid, where to start, and where not to spend money. Not another app to figure out on your own.
The spending usually starts before anyone answers the simple questions. It tends to look like this:
Too many tools
New AI apps every week, overlapping subscriptions, and no clear winner.
Money on the wrong things
Paying for tools and add-ons that never made the business any better.
No idea where to start
A long list of maybes and no first move you actually trust.
Everyone selling you something, no one telling you what to skip.
Big promises online that do not match how your business really runs.
You are busy running the business, not testing AI tools all day.
Illustrative examples of the decisions ATLACIS helps owners make. These are examples, not client quotes or results.
An owner is about to pay for an AI tool every month. We check whether it is worth it, point to a simpler option if there is one, and say what to skip.
Common scenario · Tool choice
A team is trying three AI apps that do the same thing. We help pick the one to keep and drop the rest, so the spend stops piling up.
Example decision · Cutting overlap
An owner wants AI to help answer customer questions. We map where it helps, where a person should stay in the loop, and what to set up first.
Common scenario · Customer questions
A business has years of documents and SOPs that are hard to search. We look at whether a simple private assistant is worth building yet.
Example decision · Private knowledge
Most owners start with a free call. You only go deeper if it is worth it.
Free
A short, free call to see where AI actually fits your business, and whether ATLACIS is the right help.
$750 one-time
A focused working session. You leave knowing what to use, what to avoid, and what to do first.
Learn more$1,500 / month
We stay on the AI side with you, month to month, so you keep making good calls as things change. If it makes sense.
Need something built? We quote implementation separately.
We help you make the call on each of these. When deeper work is needed, we quote implementation separately.
We compare local and hosted inference, size the hardware, and plan a private deployment you can run.
Review this serviceWe size GPUs and servers around the real workload, and identify when cloud remains the better economic choice.
Review this serviceWe review token spend, model routing, and vendors, then remove spend that is not tied to a clear use case.
Review this serviceWe build a private assistant over your internal knowledge, with access control and human review.
Review this serviceFor owners who know AI matters but not what to use, what to skip, or where to start. We turn the noise into one plan you can act on with confidence.
We start from how your business actually runs and your budget, not a tool we are trying to sell.
We do not push one setup. We weigh cloud AI, private cloud, hybrid, and on-premise against your real data, volume, budget, and risk, then design the architecture around that decision, with access, review, and audit built in rather than bolted on.
Data flows through access control and the private model into your workflow apps and human review, with an audit trail at every step. A closed loop inside your data boundary.
We do not claim certified compliance, and no setup removes all risk. What you get is a clear, defensible design you can take into technical and security review.
There are a few ways to pay for AI, and the right one depends on your business. Sometimes a simple tool is enough. Sometimes it is worth more. Often the cheapest fix is changing how the work flows, not buying anything.
Most owners start with a free AI Fit Call.
Fits Fast to start, nothing to run yourself, easy to try.
Watch The bill grows with use, and your data goes to the vendor.
Fits More control over where your data lives and who can reach it.
Watch Still a monthly bill that needs to be sized right.
Fits Most control and steady cost once you are running at volume.
Watch Upfront cost and upkeep; the wrong setup wastes money.
Fits Use the cheapest option that does the job for each task.
Watch Needs a clear plan so it does not get messy.
Different industries carry different data, risk, and workflow constraints. Here is one place private AI tends to fit in each.
A private assistant that answers product and order questions from your own catalog and policies.
Search listings, contracts, and disclosures instantly instead of digging through files by hand.
Figure out which AI is safe to use for work where public tools are not appropriate.
Summarize and check documents against your own rules, with a person reviewing every decision.
Find clauses and past work across your own documents without exposing client information.
Draft and route everyday documents while keeping sensitive data inside approved systems.
Turn your SOPs and past jobs into an assistant your team can actually use.
Decide what to use, build, or skip before spending money on tools you may not need.
Some businesses cannot send their data to just any AI tool. When that is you, we help you keep it private and under your control. This is a capability we set up when it is needed, quoted separately.
Security decisions start with the data boundary, access model, and review process.
Make explicit where your data lives and where it moves.
Define who can ask, see, and act inside the system.
Keep people in the loop where judgment matters.
ATLACIS does not claim certifications or zero risk. The goal is a clear, reviewable design your technical and security teams can evaluate.
Plan cloud, private cloud, hybrid, or on-premise around your risk.
Assess tools and vendors against your risk tolerance.
Design systems whose steps can be traced and reviewed.
Build workflows that respect your internal policies.
Short, plain guides to help you decide what to use, what to avoid, and where to start.
What private AI means in practice, and when it beats sending data to public tools.
How to choose between cloud, private cloud, and on-premise for your data and budget.
Where token and API spend leaks, and how to cut it without hurting quality.
What it takes to run a private LLM, start to finish.
How to size GPUs and servers, and when not to buy them at all.
How to pressure-test a workflow before you put any AI on it.
Book a free AI Fit Call. We will tell you what to use, what to avoid, and where to start. No jargon, no pressure.