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We integrate artificial intelligence into business tools, data and operations.
Businesses trust us with their systems
AI engineering firm
An engineering firm does not leave you with a demonstration. It owns the complete engagement, makes accountable technical decisions and delivers a system the business can actually use.
Our responsibility
The model, data, business rules, interfaces and human approvals form one system. Nexxom engineers every connection between them.
Identify where AI creates measurable value.
Build the missing components and connectors.
Design controls, error handling and recovery paths.
Support production deployment and continuous improvement.
An end-to-end engagement
Observe the real work, decisions, data and friction points.
Prioritized use case
Define models, components, integrations, permissions and controls.
Documented target system
Build, connect and test with the teams who will use the system.
Validated solution
Deploy, monitor, document and improve based on measured usage.
Operational system
What we engineer
Start with a real operating situation. Each solution below shows the work assigned to the system, its controls and where the team takes over.
Are your teams still reading and checking documents manually?
Invoices, contracts, emails and files become usable data. Business rules remain explicit and exceptions return to the right teams.
Explore this expertiseWhat we deliver
Example workflow
Document received
Invoice, contract or business file
01AI reading
Extracted and structured data
02Checks
Business rules and external sources
03Exception
Human approval when required
04Action
Authorized tools are updated
05Complementary expertise
Delivered projects
No isolated demonstration or off-the-shelf answer. Each architecture starts with how the business operates and connects to the tools already supporting it.
The need
Validate invoice and supplier information, then classify and transfer documents without multiplying manual operations.
The Nexxom response
An AI platform that extracts data, applies business checks, queries Zefix and VIES, then prepares delivery to Business Central and SharePoint.
Project scope
Project architecture
Intake
Supplier invoices
01Nexxom platform
AI extraction and business rules
02External sources
Zefix and VIES checks
03Client systems
Business Central and SharePoint
04Insights
What we learn while engineering and deploying production AI systems in businesses.
We will first understand how it actually works, then determine whether AI, automation or better integration is the right answer.
