Exze reads your schema and your data, discovers how your business really works, and turns it into a validated domain model. Your AI agents work through that model, with fewer hallucinations and answers you can trace back to the source.
It fails because nobody taught it how your business works. Every company that connects an AI agent to its own systems runs into the same four walls.
Columns like cst_cd and acct_7120 mean something only to the person who built them. The agent guesses.
Orders in the ERP, price lists in spreadsheets, terms in PDFs. The links between them live in people's heads.
Nothing tells the agent which paths through the data are valid, or what each code means.
Duplicates, orphans, stale copies and impossible values flow straight into the agent's answers.
Every definition, relationship and rule Exze proposes comes with evidence from your actual values. The first thing you get is a health diagnosis of your data, in week one.
ord_hdr.ord_st holds only A, C and X. Proposed meaning: Active, Cancelled, Void.
100% of 1.2M rows · 3 distinct values
cst_mst.cst_cd links to crm_acct.customer_id, with no foreign key declared.
99.2% of codes match · 312 orphans
Order total = sum of its line amounts.
Holds in 98.7% · 15,412 orders break it
The same customer appears under up to three codes, matched by TaxId.
2,104 duplicated customers
ord_hdr_bkp_2019 is an old copy of the orders table.
Last write 2019 · excluded from the model
cst_mst.tax_id and email hold personal data.
Hidden from agents by default
Exze models your business the way domain-driven design does: aggregates with their entities, value objects and invariants, connected only by navigations that make business sense. AI drafts it. A person signs it off.
Read-only access. Exze profiles every column and finds value domains, hidden relationships, rules and quality issues. Your data stays where it lives.
AI proposes aggregates, invariants, valid navigations and a business glossary. A data expert reviews every piece with your team.
Agents reach your data only through the model and flag answers that touch bad data. When the schema changes or a rule breaks, Exze tells you.
Your company is not one relational database. Orders live in the ERP, price lists in spreadsheets, contract terms in PDFs, carrier rates behind an API. Exze brings each source into the same domain model, so an aggregate can draw on a table and a document at once.
With the model in place, an agent follows the same path a senior analyst would, and tells you when the data behind the answer has problems.
Which of our customers cost more to serve than they bring in margin?
Without a model, the agent guesses how your tables connect and can hallucinate an answer. With Exze, it can only walk the navigations the model declares.
Enterprise ontology platforms proved that a model of the business is what makes AI useful. They are built for the largest companies in the world. Exze brings the same idea to mid-size companies.
| Enterprise ontology platforms | Exze | |
|---|---|---|
| Built for | Global corporations and governments | Mid-size companies |
| Time to a working model | Months, with on-site engineers | Days, drafted by AI and validated by an expert |
| Your data | Moved into their platform | Stays in your systems |
| Rules and definitions | Written by hand | Measured on your data, with evidence |
| Data quality | A separate project | The first deliverable |
| Language | English first | Spanish and English |
"Modeling how a business really works has been my whole career. Exze turns that work into a product."
Jorge, Founder & CEO. Systems engineer. 13+ years at Office Depot, a Fortune 500 retailer, in relational and multidimensional data modeling that drove profitability solutions such as Cost-to-Serve, among others. A career in the analysis, development and implementation of integrated enterprise systems across many technologies and programming languages.
What your data really says, and what is broken.
One business area, validated with your team.
Plain-language questions, traceable answers.
Alerts on changes, then the next business area.
We are selecting a small group of pilot companies. In four weeks you get a diagnosis of your data, a validated model of one business area, and an AI agent that works on top of it.
jvillasmil@exze.com