Magentia, governed agentic AI transformation
Magentia: we bring order to your organization's AI transformation
We connect business, people, technology and governance to scale agentic AI with confidence, control and traceability.
The challenge
Agentic AI is already in your organization
The challenge now is to govern agents without slowing innovation or losing control of what happens inside.
Agents that already decide
Agents are already making decisions, running tasks and talking to critical systems. It is no longer an experiment.
Governance that falls short
Agentic AI breaks traditional governance models: you need to define what to measure and who is accountable for what.
From pilot to production
Scaling requires knowing which decisions to make first and avoiding the mistakes that repeat in early projects.
Our approach
The 3+1 axes of Magentia
AI truly transforms when it connects with the business, is adopted by people and scales with governance and technology.
We choose the right depth of governance based on each agent's autonomy, impact and risk.
- Business to create value: opportunities, prioritized use cases and AI focused on real impact
- People to drive adoption: teams ready to work with AI in their day-to-day
- Technology to scale on a solid base: architecture, identity, security, observability and data
- Governance to scale with confidence: policies, committees, office and RASCI to run AI
Agentic governance
Magentia's Agentic Governance in 3 layers
The design of control: decisions that guide the transformation, a structure that makes it work and a technical foundation that supports it.
Decide with policies
Strategic layer. Defines ambition, principles, acceptable risks and usage limits: allow, encourage and control.
Operate with the CoE
Organizational layer. Defines who decides, who executes and with which processes: AI Committee, AI Office and AI Hub, with their RACI.
Enable with systems
Technical layer. Turns governance decisions into enforceable controls over architecture, data, security and observability.
Outcomes
What you get
At the end you have the executive foundation and the technical approach to move forward with your agentic transformation at scale.
- A defined foundation to start. Decisions, roles, critical processes and technical assessment ready to kick off the transformation.
- Roadmap in waves. The sequence of capabilities to prepare and initiatives to activate, in the recommended order.
- Next-wave playbook. Prioritized initiatives with focus, scope, owners and next steps, ready to execute.
- Actionable technical assessment. What is ready, what is missing, what risks exist and which decisions to make to scale with control.
How we work
The Magentia method: from assessment to execution
A process that defines the what, the how and the when of your agentic transformation, with concrete deliverables at every step.
Quick-express
Microsoft 365 Copilot accelerator: tenant and SharePoint review to enable safe, large-scale adoption from day one.
Pulse
Pivot assessment across 4 axes: As-Is / To-Be map, inventory of what exists and areas to explore further.
Agentic Governance
Design of the 3 layers: policies, organization and processes (CoE) and technical assessment of systems.
Roadmap in waves
The assessment becomes prioritized initiatives and an actionable roadmap in waves.
Continuous activation
The execution factory governed by the CoE, fed by M0 and by the M2 roadmap.
Provable governance
Provable governance on Microsoft
We validate with real scenarios that the Microsoft stack governs, audits and controls your agentic AI estate, including non-Microsoft agents.
- Label-based confidentiality. The document stays protected and Microsoft Purview logs every access attempt.
- Blocking inappropriate prompts. Misuse control with DLP for Copilot and Communication Compliance.
- Ownerless agents under control. Inventoried, reassigned and managed with Agent 365.
- Shadow AI detection. External agents and non-Microsoft AI detected across the estate with Defender and DSPM for AI.
- Roles and permissions per action. Every agent action with its own identity, with Entra Agent ID and ID Governance.
- Data residency and control. GDPR and EU AI Act framework applied to the agentic ecosystem.
Execution
One transformation, three execution paths
Each use case fits best in one dimension or combines them.
Pro-code agents
For agents with custom logic, complex integrations and full control of the model.
Citizen agents
For citizen agents and fast automation in the hands of business users.
Agents on governed data
For agents that need governed enterprise data, context and traceability.
ENCAMINA
Why ENCAMINA
A proven framework
Templates, artifacts, methodology and blueprints for architecture and the agentic factory, with proven CoE models.
Nearly a decade with AI
A long track record in digital transformation and nearly a decade building AI roadmaps and projects.
Focused on Microsoft
National leaders in the Microsoft ecosystem and recognized as the Best Microsoft Partner in Spain.
Governance of the whole estate
We govern, audit and control your agentic AI on Microsoft, including non-Microsoft agents.
Technology
The technology that makes it possible
A 360º approach on a Microsoft scenario, from productivity to pro-code development and governance.
- Microsoft 365 Copilot
- Copilot Studio
- Power Platform
- Azure AI Foundry
- Microsoft Purview
- Microsoft Entra
- Agent 365
- Microsoft Fabric
- DLP for Copilot
- Microsoft Defender
- DSPM for AI
- SharePoint
Ready to start with Magentia?
Tell us about your AI transformation challenge and we will prepare a proposal tailored to your organization.
You can also email us at info@encamina.com or call +34 917 893 823.
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