Insights

Architects, engineers, and QA specialists spent their time on the problems that genuinely required their attention, while Claude Code absorbed the implementation volume underneath

This year’s announcements at DAIS - Reyden, LTAP, and a far more capable Genie - push it further, bringing operations and analytical intelligence close enough that people and agents can act on live data instead of yesterday’s copy of it.

As a Databricks partner, we don't just implement the platform for our clients; we also use it to run our own firm. That distinction matters. When we sit across the table from a client and recommend a unified data platform, we're drawing on direct, first-hand experience.

The organizations that will get the most out of AI over the next few years are the ones that execute with discipline across architecture, governance, and evaluation.

This post describes how to ensure your Foundry agents, tools, and workflows are all represented as a proper architectural tier in custom Azure applications.

Origin helps leading Law Firms design and deliver AI use cases built for impact. Our team partners with AmLaw 200 Firms to identify high value opportunities, align data strategies, and pilot use cases that quickly demonstrate measurable value.

In this post, I describe how to include Microsoft Foundry instances in automated Azure resource group infrastructure deployment. Microsoft Foundry is more than just an AI playground; leverage it as a proper PaaS component in your cloud applications.

Whether you’re just getting started or looking to scale existing investments, we meet our clients where they are in the journey. If you’re ready to move from experimentation to enterprise impact, let’s start the conversation.

The Advanced Specialization underscores Origin’s commitment to continuous innovation, responsible AI development, and delivering measurable value through Microsoft Azure’s AI platform.

Software testing is going through rapid evolution with AI, automation, DevOps, and cyber-security. As AI applications become more advanced, the old testing methods have to evolve to tackle the unique challenges associated with, among others, the unpredictability of AI, explainability, bias, and continuous learning.

In this post, I will show you the basics of configurating monitoring and tracing for your Azure AI Foundry projects via Application Insights.

In this post, I'll show you how to reliably download the content behind cryptic M365 share links using C# and Microsoft Graph instead of (too much) URL string manipulation.

In the final post in the series, this will show the step by step out of the box way to connect an Azure AI Search tool to a Microsoft Foundry agent.

Here we get into the weeds on what put the "AI" in "Azure AI Search" - including all the details to programmatically configure and deploy your index, indexer, data source, and skillset to feed your data to Microsoft Foundry agents.

Let's write some code! This will detail the custom C# API that synchronizes SharePoint and Azure AI Search as well as sets the table for a fully deployable search topology using Azure OpenAI for vectorization.

This will discuss how to use Power Automate to extract SharePoint metadata and send it to a custom ASP.NET Core API to be enriched for Azure AI Search chunking and vectorization.

Here we get into the details of "The Hard Way" architecture and discuss the high level Azure components and system security with Entra.

This will show the step by step out of the box way to connect a SharePoint tool to a Microsoft Foundry agent. Additionally, I use this opportunity to discuss how the new Foundry experience differs from (and greatly improves upon) the AI user experience.

This blog series will present two options for how to send your Foundry AI agents to SharePoint college for some document knowledge.

The Optimizing Digital Insight (ODi) Conference, hosted annually by the Insight Digital Lab in partnership with DePaul University iD Lab, brings together professionals from Fortune 500 companies.

Organizations that intentionally nurture this cycle—through training, sharing stories, and investing in connective infrastructure—are the ones most likely to see AI move from hype to habit.

Origin Digital can work with you to build a production-grade version. Let us know your document domain (contracts, invoices, reports, forms, among others) and the stack you’re using, and we’ll partner together.

At Origin, we help companies move from experimentation to execution – unlocking the full potential of platforms like Azure AI Foundry to create measurable business impact.

To solve your last mile problem and dig into the opportunities and practical solutions that will define the next chapter of AI adoption at your organization contact us at hello@origindigital.com.

Azure AI Foundry represents a comprehensive ecosystem designed for enterprise AI development, balancing sophisticated capabilities with accessibility for rapid prototyping.

Databricks isn’t slowing down. They’re doubling down on their mission to democratize data and AI for every enterprise, not just through vision, but through relentless product innovation.

Origin is uniquely positioned to help businesses navigate this transformative integration between SAP and Databricks to drive growth and maintain a competitive edge.

At Origin, we believe that a well-structured Global Capability Center (GCC) can be a game-changer for businesses looking to scale efficiently.

Origin has achieved Microsoft’s Data & AI, and Digital & App Innovation Solution Partner designations, reflecting their expertise in guiding enterprises on adopting Microsoft Data, Cloud, and AI capabilities for business transformation.

The journey from "WOW" to "HOW" to "NOW" highlights the evolution of AI from awe-inspiring potential to practical, game-changing solutions.

DePaul students and Technology and Business Executives get together for a day of learning, networking, and sharing best practices on the latest in technology innovation and how that is transforming the business world.

Leveraging Large Language Model technologies on proprietary data is not only feasible but can be initiated with the data resources already at hand.

Building an enterprise Generative AI application is a multifaceted process involving strategic planning, robust infrastructure, and iterative development. By focusing on these key components, enterprises can harness the power of Generative AI to drive innovation, efficiency, and growth.

Databricks has long championed a clear mission: democratize data and AI, helping every company transition into a Data + AI enterprise.

For organizations looking to leverage the power of Phi-3, GPT-4o, or DBRX in their specific industry, our team of experts are here to help. Contact us today if you’d like to learn more about integrating these models into your workflows, maximizing efficiency, and achieving your AI-driven goals.

Not all data problems can be solved with AI. Not all AI opportunities should use a foundation model. Not all foundation model use cases should use the most powerful version available.

Becoming a data company is a journey, but the rewards are substantial. Origin can help you navigate this path and unlock the power of data to dominate your market.

The path to composable AI begins by aligning AI capabilities with business outcomes, defining an AI product roadmap, and creating an AI factory

These strategies serve as a solid foundation to successfully integrate AI into enterprise operations positioning them for success.

Achieving value with Data & AI is complex. We believe when you treat data as a product, you can succeed and avoid common setbacks.

There is a tendency to jump to building AI solutions before getting the house in order. Think Big but start small will help increase the success rate.