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THE CHALLENGE
Enterprise AI creates value when it is governed, connected and adopted
Organizations are under pressure to embed AI across operations, customer experience and productivity. Yet many initiatives remain disconnected from the systems, data and teams that create value
Without the right strategy, governance model, integration approach and adoption program, AI becomes difficult to trust, scale and measure. The opportunity is to turn AI into a governed business capability with clear ownership, secure execution and measurable outcomes.
Fragmented pilots
AI initiatives stay isolated from business systems and fail to scale.
Unclear governance
Models, agents and data flows create risk without control, ownership or auditability.
Low adoption
Teams do not change how they work when AI is introduced without enablement.
Integration gaps
AI value is limited when it is not connected to CRM, ERP, intranet, email or operational workflows.
Security exposure
Enterprise AI must be designed with privacy, access control and responsible usage from day one.
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AI Services across the enterprise
Advanced AI engineering, integration and governance from strategy to production
ARMIS AI Services bring together Extended AI Model Development, Agentic AI & Intelligent Automation, AI Application User Experience Layer and AI Adoption & Discovery.
This enterprise AI portfolio helps organizations design artificial intelligence around real business workflows, connect AI to enterprise systems, deliver outputs through intuitive user experiences and scale adoption through responsible governance and enablement.
// AI Strategy & Discovery
Identify high-value AI opportunities, readiness, target architecture, risks and the roadmap to production.
// AI Model Engineering
Design, build and evaluate domain-specific AI and GenAI capabilities for enterprise use.
// Agentic AI Engineering
Engineer autonomous and multi-agent systems that reason, coordinate tasks and operate within defined enterprise controls.
// AI Integration & Governance
Connect AI capabilities to enterprise systems, APIs and data while embedding security, privacy, monitoring, auditability and responsible AI governance.
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HOW IT WORKS
AI opportunity to scalable business capability
Every successful AI initiative starts with a clear understanding of where value can be created and how it can be delivered responsibly.
ARMIS helps organizations identify the right opportunities, align AI with business priorities and establish the foundations required for long-term success.
Through a structured approach that combines strategy, governance, integration and adoption, AI becomes embedded within existing workflows, applications and business systems. This ensures organizations can move from experimentation to secure, scalable and measurable enterprise AI outcomes with confidence.
01
Frame the AI opportunity
Assess business value, feasibility, risk and engineering complexity.
02
Assess architecture, data and integration readiness
Evaluate target systems, data foundations, APIs, security constraints and production requirements.
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Design the AI architecture and governance model
Define models, agentic patterns, controls, privacy, monitoring, auditability and responsible AI guardrails.
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Engineer and integrate AI capabilities
Build and evaluate models and agentic systems, then connect them securely to enterprise data, APIs and platforms.
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Operationalize, monitor and evolve
Deploy to production, evaluate performance, monitor controls and continuously improve measurable AI value.
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Business outcomes
Turn enterprise AI into measurable performance across the organization
AI becomes truly valuable when it supports real business priorities, improves productivity and helps teams make better decisions at scale.
By combining AI model development, autonomous agents, intelligent automation and enterprise integration, ARMIS helps organizations embed AI into everyday operations. With governance, adoption and security designed from the start, AI evolves from isolated initiatives into a scalable business capability that delivers measurable outcomes, stronger operational resilience and continuous value creation.
// Production-grade AI
Move advanced AI capabilities from experimentation into secure, reliable production environments.
// Scalable agents
Engineer autonomous and multi-agent systems that coordinate tasks within defined enterprise controls.
// Enterprise integration
Connect models and agents to enterprise data, APIs and systems with robust integration patterns.
// Governed lifecycle
Embed security, privacy, evaluation, monitoring, auditability and responsible AI controls throughout delivery.
// Measurable AI value
Track technical performance, operational outcomes and business impact as capabilities evolve.
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ARMIS.LAB@FEUP
Here enterprise AI meets
applied research
ARMIS.LAB@FEUP is the result of the partnership between ARMIS Group and the Faculty of Engineering of the University of Porto, created to connect academic research with real enterprise challenges.
The laboratory promotes collaborative R&D in computer engineering, with a strong focus on the practical use of artificial intelligence across intelligent mobility, security, fintech, sports, energy and Natural Language Processing.
Academia-to-industry bridge
Joint research projects between ARMIS, associated companies and FEUP.
Applied AI focus
Research directed to artificial intelligence in priority sectors such as mobility, security, fintech, sports, energy and NLP.
Qualified innovation pipeline
Master’s and doctoral research with transformation potential for real business use cases.
Market relevance
Research designed to generate practical impact, not isolated academic experimentation.
When the outcome is work and process transformation
Direct visitors to AI Business Solutions for intelligent workplaces, knowledge platforms, business apps, workflow automation or business agents in daily work.
Ready to engineer enterprise AI for production?
Let’s define the AI strategy, architecture and governance model your organization needs to move from experimentation to secure, scalable enterprise AI.