Difficulty Scaling Initiatives
POCs can validate an idea, but they often lack the conditions needed for integration and measurable ROI. Without prepared data, adoption and operational readiness, projects remain limited to experimentation.
Turning Data & AI into Operational Capabilities
From pilots to production-ready AI platforms and agents. We bring together data, architecture, and governance to help organizations scale securely while staying in control.
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The Challenge Today
Most organizations already have data assets, analytics initiatives or artificial intelligence projects in place. However, turning those investments into sustainable capabilities remains a challenge that involves technology, processes and governance.
Information often remains scattered across systems, models are not always ready for production environments and business areas work with different definitions. This makes it difficult to scale initiatives, sustain performance and demonstrate their contribution to operations.
Scattered Data and Governance Challenges
Information distributed across multiple systems creates inconsistent definitions, limited traceability and manual integration efforts. This makes it difficult to build analytics and drive decisions from a single source of truth.
Ungoverned AI and Data
The absence of shared standards for quality, access, monitoring and traceability makes it difficult to control how data and models are used, increasing operational and compliance risks.
How We Address This Challenge
At Possumus we approach AI and Data as an operational capability. We start with the business challenge, assess data availability and quality, and define the conditions required to integrate each initiative into business processes and decision-making.
We combine Data Engineering, Analytics, Artificial Intelligence, Data Governance and MLOps. This allows us to connect solution development with deployment, monitoring, traceability and continuous evolution in production environments.
We integrate the Possumus Adoption Framework, our four-stage adoption methodology: Prepare, Onboard, Impact and Scale. We work alongside internal stakeholders through knowledge transfer and governance checkpoints, ensuring implemented capabilities can be sustained within your organization.
AI and Data for Decisions, Processes and Operations
Microsoft 365 Copilot
Copilot Studio
Agent 365
Power BI
Microsoft Fabric
Databricks 
Azure
Microsoft Foundry
Microsoft PurviewPossumus’ AI & Data practice is structured around each organization’s business challenges, data maturity and operational requirements. Engagements may include:
Training
Technical and functional training for teams responsible for data, analytics, artificial intelligence, architecture, security and operations.
Deployment
Design and implementation of data platforms, analytics models, AI solutions, agents, integrations and capabilities of monitoring and governance.
Strategic Consulting
Definition of use cases, architecture, governance models, MLOps practices, adoption strategies and transformation roadmaps.
Expected Outcomes
An integrated AI & Data practice can transform fragmented information and isolated experiments into governed, operational and scalable capabilities available for business processes, analytics and decision-making.
Reliable Data for Applications, Analytics and AI
Integrated and governed information that supports enterprise applications, analytics and artificial intelligence.
Greater Operational Traceability for Models
Version control, monitoring and lifecycle management capabilities that provide visibility into which models are active and when they require updates or adjustments.
Verifiable Controls for Data and Models
Cataloging, classification, lineage, ownership and access controls that help identify which information powers reports, applications and AI solutions, who can access it and under which policies it is managed.
How we work
Progressive implementationPrioritization based on criticality and maturityPossumus team + key stakeholdersDelivery on-site y remoto
What this practice enables
AI Pilots
We validate and prioritize AI use cases through prototypes built on Microsoft technologies. Each pilot allows you to assess feasibility, measure impact with users and determine which initiatives have the conditions needed to scale into production.
- Microsoft 365 Copilot
- Copilot Studio
- Agent 365
- Microsoft Foundry
AI Agents
We implement AI agents connected to enterprise systems, with the architecture, governance and traceability required to operate securely at scale.
- Microsoft 365 Copilot
- Copilot Studio
- Agent 365
- Microsoft Foundry
AI Solutions
We develop and integrate AI solutions using enterprise information to embed predictive, analytical, and generative capabilities into your processes and applications.
- Microsoft Power BI
- Microsoft Fabric
- Databricks
- Azure
AI Operations (MLOps)
We automate deployments, monitor performance, and manage changes so your models operate with control, traceability, and lower risk.
- Microsoft Fabric
- Azure
- GitHub
- Azure Monitor
Data Engineering
We turn scattered information into a consistent, scalable data platform. We integrate, transform, and store data from multiple sources to prepare it for analytics, AI, and enterprise applications.
- Microsoft Power BI
- Microsoft Fabric
- Databricks
- Azure
Data Platform Modernization
We modernize legacy data platforms with cloud architectures and a phased migration. We consolidate storage, processing, and integration to improve scalability and availability and enable advanced analytics, AI, and enterprise applications.
- Microsoft Fabric
- Power BI
- Databricks
- Azure
Data Governance
Implement data governance with visibility into the origin, use, and ownership of information to reduce risk and enable analytics and AI initiatives.
- Microsoft Purview
- Azure
- Microsoft Fabric
Analytics & BI
We design analytical models and dashboards that turn multiple information sources into consistent metrics shared across the organization.
- Power BI
- Microsoft Fabric
- Azure Data Explorer
- Azure Insights
CASE STUDIES
CAPSA CAPEX – Strategic AI and Microsoft Copilot Adoption
From exploration to sustainable AI implementation in a leading energy company.
Banco Galicia – AI Applied to Operational Efficiency and Business Decision-Making
From exploratory pilots to concrete use cases that optimize processes and reduce turnaround times.
Veritran – From Copilot to an AI Agent Practice
From AI-assisted productivity to intelligent process automation.
Why Companies Choose Possumus
Proven Expertise Across the Microsoft Ecosystem
Our specialization as a Microsoft Solutions Partner demonstrates our ability to design and implement solutions that integrate with each organization’s technology ecosystem.
Engineering Integrated with Adoption
We combine engineering and adoption from the start so technology is not only implemented, but also incorporated into operations, used, and continuously evolved over time.
A holistic view of technology
We connect AI, data, security, software, and cloud under a single vision, avoiding isolated solutions and reducing technology fragmentation.
Audited Management Processes
Our operations are supported by processes audited under ISO 9001.
We Are a Microsoft Solutions Partner
We hold designations across all Microsoft Cloud solution areas.
Microsoft Cloud
6 Specializations
- Adoption and Change Management
- Custom Solutions for Microsoft Teams
- Meetings and Meeting Rooms for Microsoft Teams
- Secure AI Productivity
- Microsoft 365 Copilot
- Analytics on Microsoft Azure
3 Specializations
- Identity and Access Management
- Threat Protection
- Microsoft 365 Copilot
4 Specializations
- Analytics on Microsoft Azure
- Agentic DevOps with Microsoft Azure and GitHub
- Infra and Database Migration
- Azure Virtual Desktop
Top
0.1%
Superior of Microsoft Partner companies
170
Team Certifications
Let's Get In Touch
Schedule a Call
Federico Tagliani
Managing Director
Our work doesn’t end with implementation. We make sure the technology is adopted and delivers results.