Cognitive automation with enterprise control
IINIA Agents AI Suite is a modular system of agents able to analyse documents, execute complex processes and interact with users and enterprise systems. It combines generative AI, auditable open-source components, corporate rules and on-premise deployment to deliver autonomous intelligence without compromising security.
Automates document analysis, decisions and actions.
Operates with configurable rules and corporate APIs.
On-premise privacy without relying on the public cloud.
Multilingual agents with an open-source stack and auditable deployment.
Value proposition
Plant-ready industrial vision AI delivering measurable outcomes from day one.
Cognitive automation
Replaces repetitive and interpretative human tasks
Audited open-source stack
Transparency, customisation and zero proprietary lock-in
Automated document processing
Cuts review and data entry times
AI with business rules
Delivers full control and compliance
Continuous training
Improves accuracy without user intervention
Integration API
Connects ERP, CRM and financial platforms
On-premise privacy
Keeps sensitive data protected
What it does
| Module | Functionality |
|---|---|
| Process analysis | Maps flows with configurable business rules. |
| Dataset management | Creates and expands enterprise datasets. |
| Prompt engineering | Corporate-level prompt templates and governance. |
| Document automation | Processes PDFs, spreadsheets, XML, invoices and statements. |
| Agent orchestration | Configures and coordinates intelligent agents per workflow. |
| Secure API | REST, webhooks and connectors to external systems. |
| Corporate chat | Multilingual interface for users and teams. |
| Autonomous agents | Execute supervised decisions and actions. |
System components
Enterprise AI engine
- •Proprietary AI engine with enterprise security.
- •Business rules and governance module.
- •Intelligent prompt engine for specialised flows.
Agent orchestrator
- •Configuration and orchestration of multiple agents.
- •Supervised incremental training pipeline.
- •Library of templates and preconfigured agents.
Operations and observability
- •Dashboards and full traceability.
- •Integration with email, APIs, databases and ERPs.
- •Logging and audit capabilities per agent.
Highlighted use cases
- Finance: invoice reading, account statements and automatic reconciliation.
- Procurement/sales: assistant for quotations and orders.
- Customer service: specialised chatbots connected to the CRM.
- Human resources: CV classification and administrative automation.
- Legal: contract analysis and extraction of critical clauses.
- Operations: automatic reports, data audit and alerts.
KPIs and impact
↓ Operational time
50–90% less manual effort
↓ Human errors
Eliminates capture errors
↑ Response speed
Responses in seconds
↑ Team productivity
Teams focused on strategic work
Implementation methodology
- 1
Discovery
Identification of flows and rules.
- 2
PoC (1–2 weeks)
Functional agent with real data.
- 3
IT integration
APIs, SSO, security and shared workspaces.
- 4
Deployment
Agents operating in live processes.
- 5
Continuous improvement
Multi-process and multi-area expansion.
Key differentiators
- Automates administrative and operational processes end-to-end.
- Combines generative AI with auditable business rules.
- Corporate privacy with on-premise or private cloud deployment.
- Native integration with existing enterprise APIs and systems.
- Supervised continuous training to improve each agent.
- Built on auditable open-source components supported by IINIA.
Licensing models
Starter
- •One area and one operating agent.
- •Automation for key documents.
- •Basic connectors and standard dashboards.
Pro
- •Multi-agent with dashboards and continuous training.
- •Administrative and commercial flow orchestration.
- •Advanced integrations with ERP/CRM.
Enterprise
- •AI, data privacy and full orchestration.
- •Multi-area with centralised governance.
- •Assisted operation, dedicated support and global scaling.
Available as purchase, subscription or hybrid model.
Security and privacy
- •Local or private cloud execution with area isolation.
- •Data encryption in transit and at rest.
- •Logging, traceability and agent monitoring per role.
- •Alignment with ISO/ITAR/HIPAA policies per implementation.
- •Open-source stack reinforced by privacy and data governance policies.
Services and enablement
- •Process discovery and rule design.
- •Training for users and agent administrators.
- •Operations support desk and continuous monitoring.
- •Continuous improvement and adoption programmes per area.
Key messages
- •Automates back-office, sales and support with intelligent agents.
- •Privacy and control with auditable rules and on-premise deployment.
- •Integrates existing data and APIs without friction.
- •Scales through supervised continuous training.
- •Strengthens privacy and data sovereignty through open-source technologies.
Executive pitch
IINIA Agents AI Suite turns administrative and operational processes into autonomous flows: intelligent agents that read documents, make decisions and execute actions with full enterprise control and privacy.
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