Logo XGen-AI Smart Documents SL
XGen-AI agents

Agents that get tasks done,
with real control over what they do

They extract data from your documents and conversations, verify it against the source, and act on your systems — with explicit rules, not a black box.

61agents in the catalog
How it works

The AI extracts. A rules engine decides.

Most agents on the market delegate everything to the language model: reasoning, decision and action in a single, unverifiable step. XGen-AI's agents separate those responsibilities.

The language model acts as a sensor: it extracts data from the document or conversation, always anchored against the original source. If it can't confirm a piece of data, it declares it — never invents it.

An explicit rules engine evaluates that data and decides what action to take. Every decision is logged with its justification — auditable, not a black box.

Rollout

Live in weeks, not months

It's not a platform your team has to learn to use. We connect, configure and deliver.

01

We connect to your systems

SAP, SharePoint, Gmail, Outlook, Oracle, Salesforce, WhatsApp Business, Teams, Slack, PostgreSQL, or any API of your own. No data migration, no touching your existing infrastructure.

02

Your agents go live

We configure each agent for your specific use case — your documents, your rules, your business logic.

03

A web panel for your team

Adjust rules, view metrics, review logs — without touching code. If you'd rather we manage it, we can do that too.

By industry

Autonomous agents where mistakes aren't an option

In banking, finance and regulated environments, an incorrect answer isn't an inconvenience — it's a legal, reputational or financial problem.

Banking

Automatic loan contract analysis, inconsistency detection in client documentation, verified answers on financial products, full traceability for compliance.

Documentary risk analysisAutomated KYCContinuous audit

Financial services & insurance

Claims processing without interpretation errors, policy condition extraction with cross-verification, documentary fraud detection.

Claims processingPolicy analysisDocumentary fraud

Legal & compliance

Contract review with risk-clause identification, version comparison with change detection, regulatory reports with full traceability.

Due diligenceContract reviewRegulatory reports

Healthcare

Extraction of clinical data from records with consistency verification, medical report processing, document management with traceability for health audits.

Clinical recordsMedical reportsHealth audits

Public sector

Processing of administrative files with legal requirement verification, tender management with verified condition extraction.

Administrative filesTendersTransparency

Infrastructure & energy

Supply contract analysis with critical condition detection, automatic regulatory compliance auditing.

Supply contractsTechnical documentationRegulatory compliance
Security & control

Every agent operates within limits you define

Security isn't a filter added at the end — it's built into how the system works.

Sensitive data — names, IDs, accounts, diagnoses, amounts — is masked automatically before any fragment goes out to a language model, whether ours or a third party's. What leaves the system is no longer personally identifiable data.

No agent executes an action with an external effect — sending, writing, modifying a system — without passing through a control point that validates permission and format before acting. Permissions are defined per action and per resource, never as a broad, shared credential.

Everything an agent does is logged: what data it used, what decision it made, and why. Auditable, not a black box.

Automatic pseudo-anonymizationData in your infrastructureMediated, not free-form actionsPermissions per action and resourceFull traceabilityDesigned to facilitate GDPR compliance

This is the same foundation we use to explain how XGen-AI protects your data.

See Compliance and data protection
Custom development

Didn't find what you need?

Building agents over time left us something more valuable than the agents themselves: a base of reusable components that speeds up any new development.

A new classifier isn't built from scratch — it combines LEXIS with your business logic. A WhatsApp agent for your specific industry takes the existing chatbot core and adapts it.

What would take another company months takes us weeks — because most of the development is already done.

How it works when it's not in the catalog

You describe the problem

Not the agent you think you need — the problem you want solved. We choose the architecture.

We identify what we reuse

From the 61 existing agents and their internal components, we identify how much of the development is already done.

We build only what's missing

The new agent reuses existing extractors, classifiers, connectors and verifiers.

First working delivery in weeks

Something running in your system, with your data, that you can evaluate before committing to full development.

What process in your company should an agent be handling?

Tell us what system you want to build. We'll tell you which catalog agents apply, what needs to be custom-built, and how it connects to what you already use.