Turning Data into Actionable Intelligence
Our AI Services establish the foundation required for trusted, production-grade artificial intelligence. We help organizations design, build, and operate AI solutions on Microsoft Cloud—securely, responsibly, and at scale. These services address the full lifecycle of AI implementation, from initial strategy through data platform modernization, model development, adoption enablement, and ongoing governance.
Define AI roadmap aligned to business priorities.
Establish unified, governed data platforms.
Build and deploy production models and agents.
Enable safe, effective organizational use.
Continuously improve performance and value.
Data & AI Strategy
Aligning AI Initiatives to Business Outcomes, Not Experiments
Successful AI implementation begins with strategy—not technology. Too many organizations rush into AI pilots without clear understanding of which use cases will deliver the greatest value, how AI capabilities align with business priorities, whether their data and infrastructure can support production AI, or how they will measure success and ROI.
Our Data & AI Strategy services help organizations cut through the hype and develop pragmatic, executable roadmaps that prioritize initiatives based on business impact, technical feasibility, and organizational readiness.
Microsoft Fabric & Analytics
Designing Fabric-First Data Platforms That Unify Analytics, AI, and Governance
Microsoft Fabric represents a fundamental shift in how organizations approach data and analytics. By unifying data engineering, data warehousing, data science, real-time analytics, and business intelligence into a single SaaS platform, Fabric eliminates the complexity and fragmentation that has plagued traditional data architectures.
Agentis AI specializes in designing and implementing Fabric-based data platforms that serve as the intelligent foundation for all downstream AI and analytics workloads. Our implementations follow modern lakehouse architecture principles while ensuring governance, security, and performance at enterprise scale.
Azure AI & Machine Learning
Building, Deploying, and Operationalizing AIU Models Using Azure-NAtive Services
While large language models and generative AI capture headlines, many high-value enterprise use cases require custom machine learning models tailored to specific business problems. Agentis AI brings deep expertise in designing, training, deploying, and managing production ML models using the full Azure AI platform.
Our approach emphasizes models that deliver measurable business outcomes, not academic accuracy. We focus on forecasting, optimization, anomaly detection, and classification problems that directly impact revenue, costs, and operational efficiency.
AI Governance & Responsible AI
Trust Is Non-Negotiable in Enterprise AI
As AI systems gain autonomy and influence over business decisions, governance becomes critical. Organizations must ensure AI operates fairly, transparently, and in compliance with regulatory requirements. They need mechanisms to detect and mitigate bias, explain AI decisions to stakeholders and regulators, manage data privacy and security, and maintain human oversight of consequential decisions.
Agentis AI helps organizations build comprehensive AI governance frameworks that enable innovation while managing risk responsibly.