The organization accumulates large volumes of information that go unused. Data exists in transactional systems, records, and documents, but it is not translated into insights that guide business decisions.
AI Solutions
Turn data into decisions and automation
We develop and integrate AI solutions using enterprise information to embed predictive, analytical, and generative capabilities into your processes and applications.
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We are a Microsoft Top Partner
What happens when data does not turn into decisions
Processes depend on manual analysis. Every assessment, review, or forecast requires someone to process information, slowing decision-making and making responsiveness dependent on team availability.
Classification or prediction tasks that should be automated are still performed manually. Operational constraints emerge as volume grows and the process cannot keep pace with the same staffing levels.
Applications need to incorporate generative capabilities but currently offer a limited user experience. At the same time, data-driven optimization opportunities go unrealized due to limited analytical capacity.
How we develop AI solutions using your data
We assess your data and processes to identify AI opportunities, design the models and architecture, build the components, and integrate them into your applications and business processes. We then monitor their performance and define how they should evolve.
Greater predictive capabilities
Automation of cognitive processes
Better use of data
Intelligent experiences
Data and process assessment
We assess AI opportunities across your data and processes. Deliverable: initiative roadmap.
Model and architecture design
We define the target solution: which models are needed and how they should be structured. Deliverable: functional architecture.
Development and integration
We build AI models and components and integrate them for use within business processes. Deliverables: implemented solution and production integration.
Monitoring and improvement
We monitor the performance of models in operation. Deliverable: evolution plan.
Technology stack
Each technology plays a defined role: Azure as the infrastructure and AI services platform, Databricks for advanced data and model processing, Microsoft Fabric for data integration and analytics, and Microsoft Power BI for visualizing and consuming results.
How we work
Each solution is developed through the Possumus Adoption Framework, our four-stage adoption framework. This ensures that the work does not end once the model has been trained. It continues with its use within the process and its improvement in operation.
1
Prepare
We identify AI opportunities across your data and processes. This stage produces the initiative roadmap.
2
Incorporate
We prepare the data, design and train the models, and integrate them into applications and business processes.
3
Impact
We monitor the performance of models within the processes where they are used.
4
Scale
We sustain the solution through operations and continuous improvement. This stage produces the evolution plan.
What your organization gains
Models integrated into your processes turn enterprise information into decisions and automation that can be sustained in operation.
Decisions powered by predictive capabilities
Greater predictive capabilities improve decision-making in the processes where they are implemented.
Less effort spent on cognitive tasks
Automating cognitive processes, such as classification or prediction, helps reduce operational effort.
Data that creates value
Making better use of available data creates business value from information that previously went unused.
More productive applications
Adding intelligent experiences improves productivity, while scalable analytical capabilities enable future growth.
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.
Frequently asked questions
The solutions combine machine learning, AI, and data science using enterprise information to embed three types of capabilities into applications and processes: prediction, classification, and content generation. They are applied, for example, when large volumes of information go unused, processes depend on manual analysis, classification or prediction tasks need to be automated, applications require generative capabilities, or data-driven optimization opportunities exist.
Turn your enterprise information into decisions and automation
Assess my AI opportunitiesWe start with your current data and processes to define which AI initiatives to develop and how to integrate them into your operations.
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.