What HSO Builds
Custom AI Services
Our Custom AI Technology Stack
Azure AI Foundry
Microsoft Copilot Studio
Azure AI Search
Microsoft Purview
Dynamics 365
Power Platform
Our customers
Building custom AI solutions is high-value but not without complexity. These are the most common obstacles enterprises face when moving from generic AI tools to tailored implementations, and how HSO addresses each one.
Challenge: Custom AI models require clean, connected data, but most enterprises have critical information trapped across disconnected ERPs, CRMs, spreadsheets, and legacy systems. Without a unified data layer, AI outputs are inaccurate, incomplete, or irrelevant.
Solution: HSO builds secure, scalable data foundations on Microsoft Fabric that unify disparate sources into a single trusted layer. Before deploying any AI model, HSO's data engineers clean, structure, and govern your data, ensuring the AI operates on accurate, silo-free information.
Challenge: Many organizations struggle to move past AI pilots because they cannot quantify business value. According to MIT research, only 5% of AI pilots currently extract millions in measurable P&L impact, leaving the majority stuck in experimentation without funding to scale.
Solution: HSO's AI Jumpstart delivers a working, business-ready AI use case in weeks, not months. Every engagement starts with clear success metrics and ROI frameworks, so business cases are backed by real results rather than projections.
Challenge: Agentic AI thrives in API-driven, interconnected environments. But many enterprises run rigid, decades-old infrastructure that lacks modern APIs, making it difficult for AI agents to retrieve context, execute actions, or orchestrate multi-step workflows.
Solution: HSO designs modern API bridging layers and connector architectures that allow custom AI agents to interact with legacy systems without requiring a full platform replacement. Using Dynamics 365, Dataverse, and Azure integration services, HSO creates the connective tissue between old infrastructure and new AI capability.
Challenge: Feeding proprietary data, source code, or regulated records into public AI models presents unacceptable intellectual property and compliance risks. Forty percent of organizations cite data privacy as a top concern when deploying AI solutions.
Solution: HSO deploys custom AI solutions entirely within your organization's Microsoft Cloud boundary. Role-based access controls, Microsoft Purview sensitivity labels, and private endpoints ensure sensitive data never leaves your secure environment. For scenarios requiring maximum isolation, HSO can build and deploy small language models locally, keeping all processing on-premises.
Challenge: Generic AI models generate plausible-sounding but factually incorrect responses because they lack context about your specific products, processes, and policies. In enterprise settings, inaccurate AI outputs erode trust and can cause compliance failures.
Solution: HSO builds Retrieval-Augmented Generation (RAG) architectures that ground every AI response in your verified enterprise data, whether that is product catalogs, HR policies, financial records, or operational manuals. By tethering models to a trusted knowledge base, HSO reduces hallucinations and ensures outputs are accurate, relevant, and auditable.
Challenge: Employees resist AI tools they do not understand or trust. Without proper change management, even well-built custom AI solutions go unused, and the business case collapses.
Solution: HSO embeds change management and adoption programs into every custom AI engagement. Training is role-specific, not generic. AI agents are deployed where employees already work, inside Microsoft Teams, Outlook, and Dynamics 365, reducing friction and building trust through daily use. HSO's approach focuses on making AI feel like a helpful colleague, not a disruptive new system.
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