A chatbot
Takes a question and returns text. It knows what it was taught, not what's happening in your company today, and it can't do anything on its own.
THE FOUNDATION OF ALL OUR PRODUCTS
Agents that work, not just talk.
A chatbot answers questions. An AI agent does the work: it reviews, compares, prepares and lets you know when a decision from you is needed. That's what we build, and it's what powers every Axiomify product.
What is an AI agent?
An AI agent is software that carries out tasks instead of just answering questions: it queries real data, cross-references information, prepares drafts and alerts you when a human decision is needed. Axiomify builds agents with scoped permissions, embedded security and human oversight where it matters, and they power all of its products: LicitaSmart and SEOsmart today, and CRMSmart, InventarioSmart, ContaSmart and FacturaSmart in development.
The difference between answering and doing
It's the most common confusion, and it decides whether the investment pays off.
An agent
Has scoped access to your systems and carries out tasks: queries real data, cross-references information, drafts documents, leaves an alert. It works even when nobody asks it anything.
Why it matters
What costs money isn't a lack of answers: it's the repetitive work nobody gets to and the errors nobody catches in time.
The portfolio
Each product tackles a specific area with the same engine underneath: agents with scoped permissions, built-in security and human oversight where it's needed.
AVAILABLE
LicitaSmart
Watches SICOP for you: alerts you to tender notices in your industry, with historical reference prices and competitor analysis.
AVAILABLE
SEOsmart
Audits your site every day, prioritizes what to fix and tracks your real search engine rankings.
COMING SOON
CRMSmart
Customer management with agents that tell you who needs follow-up and when.
COMING SOON
InventarioSmart
Inventory control that anticipates stockouts and overstock instead of reporting them late.
COMING SOON
ContaSmart
Assisted accounting, with no scattered spreadsheets or blind month-end closes.
COMING SOON
FacturaSmart
Electronic invoicing connected to your operations and to Costa Rica's tax authority (Hacienda) requirements.
Products marked as coming soon are in development. If your operations need one before it launches, write to us: we work with clients who want to shape what gets built.
How we work
STEP 1
We look at your operations
What's done by hand, how many times a day and what happens when it goes wrong. Without that picture, automating is guesswork.
STEP 2
We start with what can be verified
First, repetitive tasks whose output can be checked. Anything involving judgment or high risk gets automated later, or not at all.
STEP 3
We measure and adjust
If the agent doesn't save measurable time, it's not worth it. We review it with numbers, not impressions.
Security built in, not bolted on
An agent with access to your systems is a risk if nobody has defined what it can and can't do. That's why we start from least privilege: the agent accesses only what its task requires, every action is logged, and anything hard to reverse goes through human approval. We work with AI providers configured not to retain or train on your data, and we put that in writing before connecting anything. It's not a layer added at the end: it's the condition for starting.
Frequently asked questions
Is an AI agent the same as a chatbot?
No. A chatbot answers questions; an agent carries out tasks inside your systems: it queries data, prepares documents and flags when something needs a decision. The practical difference is that one talks and the other works.
What happens if the agent makes a mistake?
It will, like any system. That's why sensitive actions require human approval and everything is logged. A well-designed agent has no permission to do anything whose error can't be reversed or detected.
Is the AI trained on my company's data?
No. We work with providers configured not to retain or train on the data sent to them, and we put that in writing before connecting anything.
Do I need to replace the systems I already use?
That's not the goal. Agents connect to what already exists. If something can't be connected, we tell you before we start, not after.
Does it work for a small company?
It usually works better, because the repetitive work falls on fewer people. What decides whether it's worth it isn't size, but how many times a week the task repeats and how much a mistake costs.