We integrate AI, automation, and engineering practices to develop and modernize software faster while maintaining quality, security, and governance.
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Businesses demand shorter delivery cycles, greater integration capabilities and applications that can continuously evolve without compromising stability or security
At the same time, integrating AI into the software development lifecycle accelerates software delivery, but also increases the need for engineering standards, automated quality controls and DevSecOps practices to ensure reliable outcomes.
Development automation and AI coding assistants can significantly increase delivery speed, but they require consistent testing, review and governance practices to prevent defects from scaling alongside development velocity.
Applications built on monolithic architectures, unsupported technologies or difficult-to-maintain integrations increase the effort required for modernization and complicate the adoption of modern architectures, automation and AI capabilities.
The coexistence of multiple applications, platforms and data sources requires integration architectures capable of supporting consistent information flows and unified digital experiences for both internal and external users.
At Possumus, we approach software engineering as a strategic asset. We work across the entire lifecycle, from requirements and architecture to testing, deployment and the ongoing evolution of each solution.
We integrate AI into the development lifecycle to support coding, testing, deployment and operations. Its use is governed by quality and security guardrails, including automated testing, coding standards, human review and DevSecOps practices.
For architectural decision-making, we leverage Cloud Adoption Framework and Azure Well-Architected Framework when appropriate to the context. These frameworks enable the evaluation of dependencies, risks, reliability, security, performance, operational efficiency and platform evolution.
Power Apps
Power Automate
Power Platform
Copilot Studio
.NET
Azure DevOps
Azure OpenAI
Azure App Service
AzurePossumus’ AI-Augmented Software Engineering practice combines development, modernization, integration, architecture, quality and user experience design. Engagement models can vary depending on scope, engineering maturity and the organization's internal capabilities.
We provide specialized professionals who work with AI agent-augmented engineering practices to expand the delivery capacity of internal teams.
We build multidisciplinary teams that work alongside client stakeholders under nearshore, hybrid or fully integrated models, sharing goals, priorities and delivery metrics.
We execute initiatives with clearly defined objectives, roadmaps and deliverables. We apply modern engineering approaches and Spec-Driven Development to reduce uncertainty and accelerate the path from specification to implementation.
An AI-augmented engineering practice that improves software evolution capabilities, streamlines the delivery lifecycle and reduces risks associated with technical debt, fragile integrations and late-stage validation.
Applications designed to incorporate new capabilities, integrate with other platforms and adapt to technological change with reduced dependence on legacy components.
Automated testing, continuous validation and engineering standards integrated from the earliest stages to reduce risks and strengthen software reliability.
API-driven integrations and modern architectures that facilitate information exchange across applications, data and distributed services.
What this practice enables
We add specialists, integrate co-managed teams, or take on complete projects with AI-augmented engineering.
We assess and modernize critical applications on Azure and .NET to reduce risk, accelerate their evolution, and incorporate automation, agents, and AI capabilities.
We design solutions that combine low-code applications, automation, and AI agents based on each need, with integration, security, and governance built in from the start.
We connect applications, data, and processes through APIs, messaging, and events to replace point-to-point integrations with a more decoupled and scalable architecture.
We assess software, cloud, and infrastructure architectures to identify risks and dependencies, define a target architecture, and organize their evolution through a roadmap.
We incorporate AI-powered test automation to accelerate test creation, execution, and maintenance. We assess functionality, integration, performance, coverage, and vulnerabilities to detect risks early and improve the quality and reliability of your releases before production.
We design and improve applications based on usage evidence and user validation to simplify critical tasks and provide developers with clear, consistent, and documented interfaces.
Add specialists or dedicated teams that combine engineering expertise with AI agents to accelerate software, cloud, data and AI initiatives.
From exploration to sustainable AI implementation in a leading energy company.
From exploratory pilots to concrete use cases that optimize processes and reduce turnaround times.
From AI-assisted productivity to intelligent process automation.
Our specialization as a Microsoft Solutions Partner demonstrates our ability to design and implement solutions that integrate with each organization’s technology ecosystem.
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.
We connect AI, data, security, software, and cloud under a single vision, avoiding isolated solutions and reducing technology fragmentation.
Our operations are supported by processes audited under ISO 9001.
We hold designations across all Microsoft Cloud solution areas.
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Federico Tagliani
Managing Director
Our work doesn’t end with implementation. We make sure the technology is adopted and delivers results.