Author: TestAdmin

  • Azure AI Foundry: What’s New, What’s Useful, and What to Watch

    If you’re responsible for IT in a small or mid-sized business, you’ve probably noticed that Microsoft has been busy. One of the most significant recent developments is Azure AI Foundry—a new way to discover, evaluate, and deploy models to help your team automate tasks, improve workflows, and get more value from your data.

    But here’s the thing: just because something is new doesn’t mean it’s useful. And just because it’s powerful doesn’t mean it’s practical—especially for small IT teams already stretched thin.

    That’s why we’ve taken a closer look at Foundry, not from a marketing perspective, but from the lens of: “What does this mean for the average IT leader trying to support a growing business?”

    Here’s a quick preview of what we found:

    • Foundry gives you access to over 1,900 models, including Microsoft-hosted options that are secure, supported, and integrated with Azure—and third-party models from providers like Meta, Hugging Face, and Cohere that offer more variety but require more oversight.
    • You can compare models side-by-side using your data. This helps you make informed decisions before you commit to anything.
    • You can deploy models in two ways: standard (API-based, easier to start) or managed compute (more control, but more setup). Each has trade-offs, and we break them down clearly.
    • Foundry now connects with Power Platform, so you can use these models in Power Automate flows, Copilot agents, and Power Apps—if you know how to set it up securely.

    We haven’t built production apps with Foundry yet as it’s still new, but we’re learning it, testing it, and helping our clients understand what’s possible. That strategic advisory role is where we shine.

    If you’re curious about what Foundry can do, how it fits into your Microsoft environment, and whether it’s worth exploring, we’ve compiled an evaluation guide for IT leaders like you.

    Read the full article here

    Or reach out—we’d love to help you figure out what fits.

     

    TechHouse

    Innovative Solutions. Practical Software. Friendly Support.

    Schedule a call  |  View Upcoming Events  |  Access our TechHouse Library of Articles

     

  • Thoughtful Design: The Secret to Tech That Actually Works

    “Just tell me what to use.” Sound familiar? When time is tight, it’s tempting to skip the strategy and jump straight to solutions.

    But here’s the truth: the fastest path to the right tool starts with slowing down—just enough to ask the right questions. This article shows why thoughtful design isn’t a luxury, it’s a necessity for sustainable growth.

    It explains how tools like Microsoft 365, Power Automate, and QuickBooks can either streamline your business or create chaos depending on how well they’re configured. One client described their business as “a five-star restaurant with a kitchen in chaos” a polished customer experience hiding broken internal processes.

    If your systems feel like they’re held together with sticky notes and whiteboards, it’s time to rethink how you’re building. Click to learn how thoughtful design can save you time, money, and frustration.

     

    TechHouse

    Innovative Solutions. Practical Software. Friendly Support.

    Schedule a call  |  View Upcoming Events  |  Access our TechHouse Library of Articles

     

  • Choosing AI-First Tools: Productivity with Purpose

    AI-first tools like Microsoft Copilot and ChatGPT are reshaping how small businesses work—but choosing the right one isn’t just about features. It’s about purpose.

    This article helps you cut through the hype and focus on what matters: what problem you are solving, who’s using the tool, and how it fits into your existing systems. It walks you through real-world use cases like writing, meeting summaries, and research, and explains why Copilot might be better if you’re already in the Microsoft 365 ecosystem.

    You’ll also get a practical checklist to evaluate tools based on integration, data access, security, and training needs. And it makes one clear: the most expensive mistake isn’t picking the wrong tool, it’s skipping the thinking that should come first.

    If you’re feeling pressure to “just pick something,” pause. A little clarity now can save a lot of rework later. Click to explore how to choose with confidence.

    TechHouse

    Innovative Solutions. Practical Software. Friendly Support.

    Schedule a call  |  View Upcoming Events  |  Access our TechHouse Library of Articles

  • Why You Can’t Just “Buy and Go” with Dragon Copilot (and HIPAA Compliance)

    If you’re a solo psychologist, therapist, or small healthcare provider, you’ve probably heard about Dragon Copilot—Microsoft’s AI-powered voice assistant that helps streamline clinical documentation. It sounds like a dream: talk, and your notes are done. But when you try to buy it, you hit a wall: you can’t just click and purchase it online like you did with Outlook years ago.

    So, what’s going on?

    Why You Need to Buy Through a Microsoft Reseller

    Dragon Copilot isn’t sold directly to small businesses or solo providers. Instead, Microsoft requires you to purchase it through a Microsoft reseller (like us). Why? Because this isn’t just software—it’s a cloud-based service that handles sensitive health data. That means it needs to be set up and managed with care.

    Think of it like this: buying Dragon Copilot is less like buying a boxed copy of Word and more like setting up a secure server. There’s configuration, security, and compliance to think about. That’s where we come in—to help you get it right.

    HIPAA Compliance: It’s Not Just About the Software

    HIPAA compliance isn’t automatic whether you’re using Dragon Copilot or Microsoft 365. Microsoft provides the tools, but you’re responsible for how they’re used. This is what’s called the shared responsibility model—we’ve written more about that on our blog.

    Here’s what you need to do on your end:

    • Sign a Business Associate Agreement (BAA) with Microsoft
    • Enable security features like multi-factor authentication (MFA), data loss prevention (DLP), and encryption
    • Use Microsoft Compliance Manager to assess your HIPAA readiness
    • Document your policies and procedures—even if you’re a team of one

    We help our clients configure these settings, so they’re not just compliant—they’re confident.

    What About Microsoft 365 E5 Health Edition?

    You may have heard about the Microsoft 365 E5 Health Industry Edition. It’s powerful but designed for larger organizations—it requires at least 100 users and a 3-year commitment. Microsoft 365 Business Premium is a better fit for most solo or small practices. It’s HIPAA-capable when configured correctly—and yes, we help with that too.

    Bottom Line

    You don’t need a big IT team to use Dragon Copilot or Microsoft 365 securely, but you need awareness and support. That’s why Microsoft routes these tools through resellers: to ensure you’re not left guessing when protecting your patients’ data.

    If you’re ready to bring AI into your practice correctly, we’re here to help.

     

    TechHouse

    Innovative Solutions. Practical Software. Friendly Support.

    Schedule a call  |  View Upcoming Events  |  Access our TechHouse Library of Articles

  • Skilling Up: How to Build IT Talent That’s Right For You

    Want to increase your tech capabilities but not sure how? This article explores several ways to build skills: internal training, contractors, fractional experts, and hybrid models.
    Each path has trade-offs in cost, speed, and long-term value. For example, internal skilling builds lasting capability but takes time and oversight. Contractors offer speed but require careful vetting and project management. Fractional experts bring precision and experience—often delivering results in weeks, not months.
    You’ll also learn how hybrid models can accelerate learning while reducing risk and why oversight is the secret ingredient to success—whether it’s a senior architect guiding a contractor or a fractional expert mentoring your team.
    If you’re struggling to scale your capabilities or your tech to-do list is growing, this is your roadmap. Discover which approach is right for your business.

    TechHouse

    Innovative Solutions. Practical Software. Friendly Support.

    Schedule a call  |  View Upcoming Events  |  Access our TechHouse Library of Articles

  • Copilot vs. ChatGPT: Which AI Tool Has Your Back?

    If you’re a small business leader, you’ve likely asked: Should we use Microsoft Copilot or ChatGPT? The answer isn’t one-size-fits-all—and the stakes are higher than you might think.

    Copilot is built for secure, real-time productivity inside Microsoft 365. It doesn’t remember your data or train on your content and plays by enterprise-grade compliance rules. ChatGPT, on the other hand, offers powerful customization and memory—but with evolving privacy policies and recent legal orders requiring OpenAI to retain user data, even deleted chats.

    This isn’t just about features—trust, control, and risk. Want to know which tool fits your business best? Read the full article to compare the trade-offs.

     

    TechHouse

    Innovative Solutions. Practical Software. Friendly Support.

    Schedule a call  |  View Upcoming Events  |  Access our TechHouse Library of Articles

  • AI Inside: Are Your Business Systems Smarter Than You Think?

    You may already be using AI—and not even realize it. Tools like QuickBooks, Business Central, and Dynamics 365 now have embedded intelligence that can forecast cash flow, automate workflows, and even draft emails or summarize meetings.

    But here’s the catch: these features only shine when aligned with your business goals. Our newest article on this topic evaluates AI-embedded systems by their features and how well they solve your problems. It includes a practical checklist covering data integration, customization, and compliance.

    For example, QuickBooks uses AI to categorize expenses and predict cash flow, while Dynamics 365 can automate sales orders and detect errors. But if you’re not using these features—or don’t know they exist—you’re leaving value on the table.

    Before investing in something new, ensure you’re getting the most out of what you already have. Read more to find out how.

    TechHouse

    Innovative Solutions. Practical Software. Friendly Support.

    Schedule a call  |  View Upcoming Events  |  Access our TechHouse Library of Articles

  • 5 Proven Ways to Build Critical Skills and Expertise in Your Organization

    There are five key ways to acquire skill and expertise for a solution. Each has a different cost-to-value structure—some are better suited for short-term outcomes, while others better align with long-term strategic moves. This article explores these options to help organizations make informed decisions about how to bring in the right capabilities for their needs.

    In-House Skilling

    • Definition: Training and developing existing employees to build new capabilities.
    • Ideal Company Size: Mid-sized to large organizations with capacity for long-term investment.
    • Skills Provided: Automation, reporting, data integration, and other internal process improvements.
    • Duration: Best for long-term development and ongoing maintenance.
    • Innovation Criticality: Suitable for foundational or moderately critical innovations.
    • Extensibility: High, if the organization has the resources to scale learnings.
    • Core Competencies Alignment: Best when the solution aligns with the company’s strategic focus.
    • Cost/Benefit: High upfront investment in time and training; lower long-term external costs. Opportunity to benefit from investment in labor over time in addition to the technical solution’s ROI.
    • Example: We provided guidance and mentoring to the IT director at a real-estate company to allow them to make as-needed adjustments to their Dynamics environment.

    Contracted Staff Augmentation

    • Definition: Hiring external individuals (W2 or 1099) for specific projects or over an extended period – months or years. Could be full time or part-time.
    • Ideal Company Size: Startups to mid-sized companies needing incremental support that they can manage.
    • Skills Provided: Specialized development, design, or implementation skills.
    • Duration: Ideal for short- to medium-term projects with defined scope or ongoing maintenance of same.
    • Innovation Criticality: Works well for non-core or experimental initiatives.
    • Extensibility: Moderate, depending on documentation and knowledge transfer.
    • Core Competencies Alignment: Useful when internal expertise is limited in some areas but present in others to ensure adequate oversight.
    • Cost/Benefit:: Higher labor hourly rate. When the effort required is not full time or permanent, it can reduce long term cost. Requires dditional administrative overhead and management.
    • Example: We provided a part-time web-developer to one of our clients for a fixed number of hours each month. The client coordinated the deliverable timelines and requirements.

    Fractional Experts

    • Definition: Engaging experienced professionals or firms on a part-time or project basis.
    • Ideal Company Size: Small to mid-sized organizations needing expert guidance.
    • Skills Provided: Strategic planning, architecture, implementation, and oversight. Typically require a decade or more of specific related experience and advanced skilling.
    • Duration: Effective for medium- to long-term initiatives requiring precision and specialized skills. Often strategic or difficult to source skills.
    • Innovation Criticality: Ideal for high-impact, business-critical projects.
    • Extensibility: High, especially with proper documentation and internal follow-up.
    • Core Competencies Alignment: Valuable when internal teams need expert direction.
    • Cost/Benefit: Higher hourly rate, but lower total cost due to efficiency and speed for the overall effort. Access to otherwise inaccessible skills due to cost barrier for full time hire. Additionally small and mid-size organizations often do not have enough complex work to keep a senior level or specialized resource engaged.
    • Example: We implemented a Business Central and Power BI reporting environment for a manufacturing company to better understand their inventory and sales.

    Hybrid Approach (Internal Skilling with Fractional Oversight)

    • Definition: Upskilling internal staff under the guidance of a fractional expert.
    • Ideal Company Size: Organizations aiming to build internal capability with support.
    • Skills Provided: Real-time learning, mentorship, and quality assurance.
    • Duration: Suitable for long-term development with short-term expert input.
    • Innovation Criticality: Effective for strategic initiatives requiring internal ownership.
    • Extensibility: Very high, as internal teams gain skills while delivering value.
    • Core Competencies Alignment: Best when the solution aligns with growth areas.
    • Cost/Benefit: Balanced investment in training with reduced risk of missteps due to oversight. Risk that internal staff will not have the necessary skill or, with fractional oversight, will not receive the priority for work to be performed. Organizational commitment to the model is critical to success.
    • Example: Training internal staff on adding/removing users to the Microsoft 365 environment and responding to system alerts, while relying on a fractional expert to handle escalations and more advanced configurations.

    Fully Managed or Co-Managed

    • Definition: Outsourcing the solution to a third-party provider, either fully or in collaboration with internal teams.
    • Ideal Company Size: Organizations lacking internal capacity or seeking turnkey solutions.
    • Skills Provided: End-to-end delivery, support, and maintenance.
    • Duration: Best for long-term systems requiring ongoing updates and support.
    • Innovation Criticality: Suitable for mission-critical systems needing reliability.
    • Extensibility: Moderate to high, depending on vendor flexibility and integration.
    • Core Competencies Alignment: Useful when the solution is outside the company’s core focus.
    • Cost/Benefit: Like Fractional, provides access to more resources and skills that could for the same budget with internal or contracted skilling. Typically, engagement of all these resources requires that level of investment and provides a corresponding return.
    • Example: We developed and actively manage a data processing and report generation process for a pharmaceutical company so they can provide key documentation to their clients.

    Whether you’re considering internal skilling, hiring a contractor, engaging a fractional expert, or exploring a fully managed solution, we’re here to help you make the right choice for your organization. Contact us today to discuss your goals and explore tailored solutions that support your growth.

     

    TechHouse

    Innovative Solutions. Practical Software. Friendly Support.

    Schedule a call  |  View Upcoming Events  |  Access our TechHouse Library of Articles

  • Why Thoughtful Design Matters—Even When You Just Want a Quick Fix

    If you’re a small business leader, you’ve probably said something like this before:

    “I know something’s not working—just tell me what to use.”

    We get it. You’re busy. Your team is busy. You don’t have time to overthink things. You just want a solution that works.

    But here’s the thing: the fastest path to the right solution usually starts with slowing down—just a little.

    This article is for leaders like you. It’s not about making things more complicated. It’s about helping you avoid the kind of expensive, frustrating rework when you skip the thinking part and jump straight to the doing.

    Let’s talk about why thoughtful design matters—and how to know when it’s worth the time.

    Not All Tools Are Created Equal

    Some tools are plug-and-play. You turn them on, and they do what they’re supposed to do.

    Others—like Microsoft Word or Outlook—have layers of features that only reveal their value when you learn them.

    Then, some tools need to be configured to work correctly. Think Microsoft 365 Business Premium: it comes with great security features, but they don’t protect you unless set up correctly.

    And finally, there are platforms like Power Automate or Power Apps. These are designed to be tailored to your business. They’re powerful—but only if you know what you’re solving for.

    The more tailored the solution, the more critical it is to understand the problem.

    Why Discovery Matters

    Sometimes, you know something’s broken—but not exactly why. That’s where discovery comes in.

    It’s like going to the doctor. You say your throat hurts. They don’t just hand you antibiotics—they check to see if it’s strep, allergies, or something else entirely.

    The same principle applies in business. If you skip the diagnostic step, you risk solving the wrong problem, which can lead to wasted time, wasted money, and a whole lot of frustration.

    When “Simple” Isn’t So Simple

    We often hear, “Just give me a simple solution.” But what seems simple on the surface often hides complexity underneath.

    Take QuickBooks Online. You can use it out of the box—but if your chart of accounts isn’t set up to match your industry or compliance needs, you’re missing out on real value.

    A client once told us, “We’re like a five-star restaurant with a kitchen in chaos.”

    The customer experience was polished, but old processes didnt meet the current demand. Processes were disjointed and unsustainable behind the scenes.

    That’s where thoughtful design—of workflows, systems, and processes—can make all the difference.

    From Jazz Band to Orchestra

    Small teams (3–5 people) can operate like a jazz band—flexible, improvisational, and effective.

    But as your team grows (10+ people), coordination becomes more important. That’s when you need to shift toward an orchestra model, where everyone follows a shared process.

    This is where digital transformation starts to matter. Common triggers include:

    • Tracking process steps
    • Managing approvals
    • Consolidating reporting
    • Centralizing data and documents
    • Managing Quality Control

    Sticky notes and whiteboards work great—until they don’t. As your team scales, shared systems become essential.

    The Role of AI, Security, and Customization

    AI is everywhere right now. And it’s tempting just to pick a tool—any tool—and start using it.

    But whether you’re choosing an AI-first tool like Copilot or ChatGPT or evaluating a business system with AI built-in, the same rule applies:

    Define what you need before you choose.

    If you skip that step, you risk buying something that looks great on paper but doesn’t solve your problem.

    Implementation Without Insight Is Just Guesswork

    We’ve seen it too many times: a business picks a tool because it’s familiar, someone recommended it, or it promises to be “simple.”

    However, without a clear understanding of the problem, even the best tool can fall flat.

    That’s why we always start with discovery. We ask questions. We clarify goals. We help you figure out what’s happening—so the solution we build works.

    You Don’t Have to Do It Alone

    You already rely on experience to guide your business, whether you’re managing a team, serving a client, or navigating a challenge.

    Technology is no different. The right partner can help you avoid missteps, uncover better options, and confidently move forward.

    It’s not just about implementing tools. It’s about making the most of them.

    Ready to Think It Through?

    If you’re wondering whether your current tools are working—or if it’s time to rethink how your team operates—we’re here to help.

    Let’s discuss what’s possible. We’ll meet you where you are and help you get where you want to go.

    TechHouse

    Innovative Solutions. Practical Software. Friendly Support.

    Schedule a call  |  View Upcoming Events  |  Access our TechHouse Library of Articles

  • What Small Business IT Leaders Need to Know About Azure AI Foundry

    If you’re leading IT at a small or mid-sized business, you’ve probably noticed that Microsoft has been rolling out a lot of new tools lately. One of the most significant—and potentially most useful—is Azure AI Foundry.

    Foundry isn’t just a rebrand of Azure AI Services. It’s a new way to discover, evaluate, and deploy models to help your team automate tasks, improve workflows, and use your data. But with more options comes more complexity. And if you’re like most IT leaders we work with, you don’t have time to chase every new feature. You need to know what’s useful, what’s safe, and what’s worth your time.

    That’s what this article is here to help with.

    What Is Azure AI Foundry?

    Azure AI Foundry is Microsoft’s new model catalog and deployment platform. It brings together over 1,900 models from Microsoft and third-party providers, all accessible through a single interface. Users can search, compare, and deploy models for a wide range of tasks, including language processing, image analysis, reasoning, and more.

    Some of the key capabilities that will benefit small businesses revolve around Microsoft, reducing some of the advanced complexity of managing and curating AI models. With Azure AI Foundry, you have a transparent marketplace to support your decision-making. For example, you can:

    • Compare models side-by-side using your data
    • Deploy models using either Microsoft-managed infrastructure or your own Azure resources
    • Fine-tune models, monitor performance and apply content safety filters
    • Choose from models hosted by Microsoft or by external providers

    This flexibility is great, but it also means you need to understand the differences to make the right choice.

    Microsoft Hosted or Not?

    There are two types of models available in the Azure AI Foundry: models sold directly by Microsoft and Models sold by third-party providers. This is similar to Azure Marketplace, where you can purchase Virtual Machines managed by Microsoft or Virtual Machines managed by other providers.

    1. Models Sold Directly by Microsoft

    Models sold directly by Microsoft make compliance and management eassier. They are hosted and supported by Microsoft under its product terms including being backed by Microsoft’s SLA and support. They are connected directly to Azure’s infrastructure and they meet Microsoft’s requirements for security, compliance, and performance.

    Examples include:

    • Azure OpenAI models like GPT-4o
    • Microsoft’s own document processing and translation models
    • Select models from providers like Meta and Mistral that Microsoft has chosen to host and support directly

    These are the safest bet for small businesses that need reliability, compliance, and support.

    2. Models from Partners and the Community

    These models make up the majority of the Foundry catalog. They’re developed and supported by third-party providers, such as Hugging Face, Cohere, Meta (in some cases), and others.

    Key characteristics:

    • Hosted by the provider or in Microsoft-managed infrastructure
    • Support and SLAs vary by provider
    • Often cutting-edge or industry-specific
    • May not meet Microsoft’s Responsible AI standards
    • Require more due diligence from IT teams

    Examples include:

    • Hugging Face models for sentiment analysis, classification, and more
    • Cohere’s RAG (retrieval-augmented generation) models for knowledge-heavy tasks
    • Meta’s LLaMA models (when not hosted directly by Microsoft)
    • Industry-specific models (e.g., legal, healthcare, and finance)

    Deployment Options:

    Microsoft offers both standard and managed compute options. With a standard deployment, Microsoft hosts the model. With Managed compute, you deploy the model on an Azure Virtual Machine.

     Azure AI Foundry Deployment Options: Side-by-Side Comparison

    Feature Standard Deployment Managed Compute
    Hosting Microsoft hosts the model You deploy the model to your own Azure virtual machine
    Access Method Access via API Access via REST API on your VM
    Billing Billed per use (tokens in, tokens out) Billed based on VM usage
    Ease of Use Easier to get started Requires Azure VM quotas and setup
    Customization Limited customization Supports fine-tuning and advanced monitoring
    Control & Security Less control over infrastructure More control over performance, security, and network isolation

     

    Compare Models Side-by-Side Using Your Data

    A great new feature in Azure Foundry is the ability to evaluate models with your own data.

    Here’s how it works:

    • In the Foundry portal, you can browse the model catalog and select multiple models supporting the same task type (e.g., summarization, classification, translation).
    • You can upload your sample data—documents, text, or other inputs—and run the same task across different models.
    • Foundry will show you how each model performs on your data, including:
      • Output quality
      • Latency
      • Cost metrics
      • Benchmark scores (where available)

    You can also filter models by:

    • Industry-specific training (e.g., legal, healthcare, finance)
    • Capabilities like reasoning or tool calling
    • Deployment options (standard API vs. managed compute)
    • Licensing terms and support levels

    This kind of hands-on evaluation is rare in small business tech and it’s a big reason why Foundry is worth exploring, even if you’re not ready to deploy yet.

    Can You Use Foundry Models in Power Platform?

    Yes—and this is where things get exciting for small business IT teams.

    As of the 2025 Wave 1 release, Microsoft has introduced native integration between Azure AI Foundry and Power Platform’s Prompt Builder. This means you can securely connect to models you’ve deployed in Foundry and use them directly in:

    • Power Automate flows
    • Copilot agents
    • Power Apps (via Power Automate or API connectors)

    This allows you to:

    • Use specialized models (including ones you’ve fine-tuned) for tasks like summarization, classification, or document processing
    • Incorporate domain-specific intelligence into your automations
    • Optimize costs by selecting models that are right-sized for your needs

    But it’s not plug-and-play. You’ll still need to:

    • Deploy the model in Foundry (standard or managed compute)
    • Expose it via API
    • Set up authentication and governance

    What Small Business IT Leaders Need to Watch For

    • Not all models are created equal. Just because a model is in the catalog doesn’t mean it’s right for your business.
    • Support varies widely. Microsoft-hosted models come with enterprise-grade support. Partner models may not.
    • Compliance is your responsibility. If you’re using a third-party model, you’re responsible for ensuring it meets your data handling and privacy requirements.
    • Copilot and automation tools don’t replace expertise. These tools can help you move faster—but they don’t design solutions for you.

    How TechHouse Can Help

    Azure AI Foundry is new and like many of Microsoft’s most powerful tools, it’s evolving quickly. At TechHouse, we haven’t built production applications with Foundry yet, but we’re actively learning, testing, and staying on top of what’s possible.

    What we do bring to the table is deep experience with Microsoft’s platform, a strong understanding of how small businesses work, and a track record of helping IT leaders make smart, strategic decisions.

    If you’re curious about Foundry—what it can do, how it fits into your environment, and whether it’s worth exploring—we’re here to help you figure that out. We’ll help you:

    • Understand what’s available and how it works
    • Evaluate models and deployment options
    • Connect Foundry to your Power Platform solutions
    • Plan for governance, security, and support

    You don’t need to be a data scientist to use Foundry—but you do need a partner who’s paying attention, asking the right questions, and ready to help you move forward.

    Let’s explore what’s possible—together.

    TechHouse

    Innovative Solutions. Practical Software. Friendly Support.

    Schedule a call  |  View Upcoming Events  |  Access our TechHouse Library of Articles