Summary Organizations typically use Dynamics 365 CRM/Sales Business Process Flow (BPF) to manage the sales cycle and win deals. It is commonly treated as an out-of-the-box (OOB) capability designed strictly for sales processes. In this blog, we explore how a door and window manufacturer in New York successfully repurposed Dynamics 365 Business Process Flow to track ‘Shop Floor Stages’-extending its use beyond sales into operations. The Idea Behind Using Business Process Flow This company manufactures one of the most diverse ranges of steel windows and doors in the USA. While managing their sales cycle, they also needed better visibility into order progress. The idea was to reuse the standard BPF structure instead of building a new system from scratch. The standard BPF follows:Lead → Opportunity → Quote → Order The approach was to repurpose this flow into a custom process aligned with their operational needs. Extending into Order Fulfilment The Order entity was enhanced and renamed as Order Fulfilment, where the BPF continued beyond sales. Shop floor coordinators could quickly identify issues and physically inspect problem areas, improving operational efficiency. Additionally: Over time, the system evolved organically-retaining only what added value. Readiness for AI With clean, structured, and unified data across the entire lifecycle, the system became AI-ready. Key use cases included: What Did We Achieve? Key insights from the solution architects: To conclude, by reimagining the use of Dynamics 365 Business Process Flow, this organization successfully bridged the gap between sales and operations. What began as a sales tracking tool evolved into a comprehensive system managing the entire lifecycle-from lead generation to shop floor execution. Today, this approach continues to power their operations end-to-end, proving that thoughtful reuse of existing capabilities can drive efficiency, reduce costs, and create a strong foundation for future innovations, including AI. Connect with CloudFronts to get started at transform@cloudfonts.com

Summary: In today’s Agentic AI conversations, existing suite of business applications by Microsoft Dynamics 365 like CE applications, Business Central or Finance and Operations still make sense – but too early for your needs? Well, here’s where Power Apps proves to be the most apt choice in terms of license spend, use case for smaller but growing business till you need to move to full-fledged applications.   Why Power Apps Premium?  If you are a smaller team of about 5-10 and currently operating with 1-2 systems or file repositories which are smaller but disparate, here’s how this approach works best –   One of the recent examples is helping an American ISV’s build a Power Apps version of a job costing module coming from Dynamics GP which will sunset in a few years. This paves way for existing customers move to a relatively smaller license footprint while the application remains focused on a specific purpose only.   With Power Apps Premium, this is a huge deal for organizations who want to do Job Costing but don’t really need the full Field Service or Project Management applications. This lowers the barrier to entry in Dynamics 365 cloud and also enables them to spend on Power Apps Premium as well as Business Central to handle the accounting for Job Costing.  What to take care about?  While choosing Power Apps may seem like the right choice for smaller use cases that don’t need full-scale Dynamics 365 Applications, here are some of the aspects you must take care of –   To conclude, if you are a small business and looking to get started on Power Platform / Power Apps for specific needs, it makes more sense to build small using Canvas or Model Driven Apps instead of going for a full-fledged business system like Dynamics 365 CE Apps, Business Central or Finance and Operations.  This gives you the right cover for specific needs till you really get to the scale where your growth actually demands for full-scale applications.  This helps keep the cost low, applications focused to serve designated purposes and deploy and connect to existing data sources quicker.  Connect with CloudFronts to get started at transform@cloudfonts.com

For many small and medium-sized organizations, the ERP that once powered early growth is now slowing progress. Custom-built systems, often implemented long before the cloud era, were developed for a different time: smaller product catalogs, simpler compliance requirements, and fewer integration demands. Today’s businesses need more: more visibility, more agility, and more operational resilience. That is where Microsoft Dynamics 365 Business Central stands out. Its cloud-native architecture, rich financial and operational capabilities, and strong talent availability make it an ideal next step for organizations evolving from aging, home-grown systems. When “It Still Works” Is Not Enough Leaders often tell us their legacy ERP is still functioning. But “functioning” is not the same as “fit for the future.” Common challenges we hear include: 1) Systems Built for a Smaller Business Custom ERPs often cannot scale with new product lines, acquisitions, or international expansion. What once felt tailored now feels restrictive. 2) Rising Skill Gaps The original developers and architects are long gone. Each new change requires specialized workarounds, creating dependency on limited IT support and extending delivery timelines. 3) Infrastructure and Security Risks On-premises systems demand constant upkeep: servers, backups, security patches, disaster recovery, and more. Maintaining all this diverts attention from core business priorities and increases risk exposure. 4) Limited Audit and Compliance Capabilities Regulatory expectations have evolved. Many legacy ERPs lack traceability, standardized reporting, and audit-ready controls, making compliance costly and inefficient. These challenges create operational drag. Instead of enabling efficiency, the ERP becomes a barrier to progress. That is why many organizations are accelerating their move to the cloud, and Business Central has become the preferred direction. Why Business Central Is the Right Upgrade Path Modern Skills and Easier Adoption Business Central aligns with competencies already familiar to finance and IT teams. Talent is more widely available compared to niche ERP platforms, lowering hiring and training efforts. The Right Size for SMB Growth It offers robust ERP capabilities without the cost and complexity associated with larger enterprise systems. Cloud as a Differentiator With Microsoft handling security, performance, and updates, organizations free up resources for innovation instead of infrastructure maintenance. Designed for Integration CloudFronts has helped many organizations successfully transition from custom ERPs to Business Central Online. To further simplify operations, we have developed the PO BC Integration Module 2.0. This connects Dynamics 365 Project Operations and Business Central, delivering process continuity that is missing in standard connectors. A Foundation for the Future Migrating to Business Central is not just a technology upgrade. It is a strategic shift. It builds the foundation for advanced reporting, AI-driven insights, automation, and scalable growth. Businesses that make this move gain a system that: ✔ Supports today’s operations✔ Adapts to future changes✔ Reduces risk and complexity✔ Strengthens competitiveness Ready to Modernize Your ERP? CloudFronts helps organizations move from custom, outdated systems to Business Central with a structured, low-risk transformation approach. If you are considering your next ERP move, we are here to support you at every step. Connect with our experts: transform@cloudfronts.com

The landscape of digital transformation has never been more complex. Rapid market shifts, rising customer demands, and tightening budgets have made technology decisions more consequential than ever. The challenge isn’t adopting new tools it’s leading transformation by ensuring that every investment is grounded in clarity, alignment, and predictability. At CloudFront’s, we understand this. That’s why our Business Assessment Engagement model has become a proven first step toward successful, low-risk technology implementations. What Is a Business Assessment? A Business Assessment is a structured, short-term engagement conducted before signing a full implementation Statement of Work (SoW). It is designed to create complete visibility into your current business processes, desired future state, and the potential risks that could impact your project. Typically spanning 3 – 4 weeks, this engagement brings together functional and technical stakeholders from both your organization and CloudFront’s. Whenever feasible, we conduct this assessment onsite, ensuring close collaboration and a deep understanding of your business landscape. During this engagement, our experts: The result is a detailed Business Requirements Study (BRS) a comprehensive document that translates assessment insights into an actionable implementation roadmap. This BRS becomes the foundation for a precise and mutually agreed Statement of Work, ensuring every phase of your digital transformation is built on validated insights and shared understanding. Why a Business Assessment Matters For enterprise technology leaders, the Business Assessment approach delivers tangible benefits: Ultimately, this process transforms uncertainty into informed decision-making, enabling IT leaders to confidently advance from planning to execution. Proven Success with CloudFront’s At CloudFront’s, we’ve seen firsthand how Business Assessment engagements set the stage for successful digital transformations. Clients who adopt this model enter implementation phases with greater predictability, stronger governance, and renewed confidence in both the technology and the partnership driving it. Recently, we partnered with one of the world’s largest U.S. based commercial vehicle manufacturers to conduct an onsite Business Requirements Study (BRS). Our team worked closely with their stakeholders to map existing systems and design a strategic roadmap for migration to Microsoft Dynamics 365 Supply Chain Management (SCM). Following the successful completion of the BRS, we are now leading Phase 1, enabling their inventory, advanced warehouse, and procurement operations to establish a strong operational foundation. In Phase 2, we will enable master planning, production, and quality management to deliver end-to-end operational efficiency, ensuring a seamless and future-ready digital ecosystem. Our clients consistently tell us that this approach not only de-risks their investment but also enhances alignment between business and IT, a crucial factor in any transformation journey. To conclude, in today’s unpredictable business landscape, a well-executed Business Assessment isn’t just a preliminary step, it’s a strategic imperative. By partnering with CloudFront’s for a Business Assessment, you’re not committing to uncertainty; you’re investing in clarity, alignment, and long-term success. If your organization is planning a digital transformation initiative, start with a Business Assessment Engagement and move forward with the confidence of knowing your path is mapped, risks are managed, and success is measurable. Ready to move from uncertainty to clarity?Connect with CloudFront’s at transform@cloudfronts.com to schedule a Business Assessment Engagement and gain a clear, actionable roadmap for your next digital transformation. Contact Us to start your assessment today.

Everyone wants AI. Few are ready for it.  The question isn’t “When do we start?” but “Are we prepared to get it right?”  Because switching on Copilots without fixing your foundations doesn’t accelerate you. it amplifies chaos.  This article will cover how to fix your foundations for AI so that the AI tools you deploy are accurate and reliable.  Challenges of deploying AI Directly  Some of the common challenges of directly deploying AI on top of your business applications are –   And these issues just render the AI implementation as a failure immediately dismissing trust in using AI at all.  But these challenges can be overcome once the foundations of AI are in place which we’ll discuss in the next section.  Foundation of AI  At CloudFronts, we call this the 3 Pillars of AI Readiness:  Here’s how I sum up the foundation of the systems for AI –  For example, when CloudFronts helped Tinius Olsen modernize their systems, the focus wasn’t just technical uplift. It was about ensuring every business process was cloud-ready so AI models could actually trust the data.   Upgrading from legacy systems And this is the foundation that needs to be had before AI can be implemented at your organization.  Data & AI Maturity Curve by Databricks  Given the above foundations in place for your AI Adoption strategy and choosing the right framework for your implementation, the Data & AI Maturity Curve shown below can be referenced to see where your organization is on the curve and where do you want to get to –   On a high level, the foundation will get you to look back at the data and see what has happened in the past and AI tools can help you get this information accurately.  Further, once trust is established, actions like making the AI predict the future state of operations, prescribe steps and even take decisions on our behalf can be achieved – provided you really want that to happen. It might be too soon just yet.  To conclude, AI success = Foundations × Trust.  Without modern systems, connected data, and governed access, AI is just noise.  But with these in place, every AI tool you deploy whether predictive analytics or Copilots becomes an accelerator for decision-making, not a distraction.  Before you deploy AI, fix your foundations. If you’re serious about making AI a trusted accelerator not a costly experiment start with modernization, connection, and governance. At CloudFronts, we help enterprises build these foundations with confidence. Let’s connect over our email: Transfrom@cloudfronts.com  

When we say building a bridge? Does it mean something isn’t connected together? And what is it?It’s AI itself and your systems that are not connected. What this means if although your AI can access your systems to derive information, it’s still unreliable, slow. What is needed for AI to be successful? In order for AI to be successful, below is what to avoid: In order to eliminate the above, we must have a layer of ‘catalog’ which will house all business data together so that a common vocabulary is established between systems. AI then pools from this ‘Data catalog’ to perform agentic actions. The diagram below best explains, on a high level, how this looks : And all this is defined by how well the integrations between these systems are established. How CloudFronts Can Help? CloudFronts has deep integration expertise where we connected cloud-based applications with each other with the below in mind – Often times, we find ready-made plug and play cloud-based integration solutions which come with their own hefty licensing that keeps going up every few years. Using such integration tools not only affects cash flow but also adds a layer of opaqueness, as we don’t control the flow of integration, and we cannot granularize it beyond what’s offered. Custom integration gives you better control and analytics, which readymade solutions can’t.Here’s a CloudFronts Case Study published by Microsoft, wherein we connected systems for our customer with multiple systems driving data and insights. To conclude, AI Agents are meant to be for your organization aren’t optimized to work right away. This disconnect needs to be engineered just like any other implementation project today. As this gap is real and must be fulfilled by something called Unity Catalog and integrations, CloudFronts can help bridge this gap and make AI work for your organization to continue to optimize cash flow against rising costs. We hope you found this blog useful, and if you would like to discuss anything, you can reach out to us at transform@cloudfonts.com.

Since the turn of 2025, AI has been thrown around a lot in conversations – both individual and also at an organizational level. Major technology providers have started their own suite of tools to build AI agents.  While these tools are good enough for simpler AI use cases like fetching data from systems and presenting to us, but complex use cases like predicting patterns, collating data from multiple systems and driving insights from connected systems – that’s where AI implementations need to be looked at like projects which needs architecting and implementing with organization’s vision of AI.  Let’s look at how we can make sure that AI implementations give us over 95% accuracy and not just answers every time which we assume might be correct.  Is AI enough by itself?  Common perception that AI Agents are deployed on top of applications which can be used to interact with the underlying systems to do what users are supposed to get done from AI.  This perception stems from our use of AI tools like ChatGPT/Claude/Gemini as they interact with the Internet to get your queries answered. Since this is a tool available independently, there’s not technical setup and it is ready to go.  Speaking of being Copilot being enough on itself, it depends on where the data is sourced from – and what the intent of the Agent is. If your Custom Copilot / AI Agent is meant to only look at some SharePoint files, some websites and within 1 system in your M365 gated access, you should be able to patch to knowledge sources and be good enough to let AI Agent give you the information in the format you need.  Challenge occurs where you expecting the AI Agents to make sense of the data which is stored differently in different systems with different naming conventions – that’s when AI agents will fall through because it cannot understand when you are pointing to an “Account” in CRM, but the same is stored as a “Customer” in Business Central.  And this is where something like a Unity Catalog comes into picture. The term itself describes that the data comes together in a catalog for common access and AI agents to source from.  Let’s look at how we can imagine this unity catalog to be in the next section.  Unity Catalog  Unity Catalog can be thought of as an implementation strategy and collection of connected systems over which AI Agents can be based upon.  Here’s how I summarize this process –   Above diagram is a summary for how AI implementations will scale within organizations and have different variations of the same.  To encapsulate, while independent AI agents can be implemented for personal use within the organization, given the appropriate privileges, for AI to make sense of and enable trusted decision making, AI implementations need to have data readiness in place with clarity.  Hopefully, this topic summarizes the direction in which organizations can think of AI implementation, more than just building agents.  We hope you found this blog useful, and if you would like to discuss anything, you can reach out to us at transform@cloudfonts.com.

For organizations, cashflow issues can be mitigated if billing happens on time. Having Project Operations and Business Central gets you covered from a Sales/Project standpoint and BC handles the accounting side, which is great. But when these systems are not connected end to end, it creates problems.  Let’s look at some of the issues and the need to have PO-BC integrated so that business transactions need not be left to manual dependency.  Disconnected Systems  Organizations like Professional Services or Project-based organizations in the SMB/SMC sector use Project Operations to handle Sales and Project Management and use Business Central as their backend Accounting.  Out-of-the-box, Project Operations and Business Central are not integrated from a transaction perspective. This leaves a gap for the organization to be filled manually and dependent on accounting/project management to ensure everything is accounted for in Business Central.  This adds human dependency to keep both the systems in sync and make sure everything gets billed on time.  But this is only the scenario, let’s talk about some problems with this scenario in the below section.  Why PO and BC Integration Matters  When we don’t have the systems connected all the way from Sales to Billing, the following issues start to add up resulting bigger cashflow issues –   These things add up causing loss in revenue and hence, causing cashflow issues. Profit and Loss statement might look great, but cash-in-hand makes organizations suffer and causes hindrance in growth.  Hence, the systems should be reliably integrated to eradicate the issues discussed above.  To give perspective of what all needs to be integrated to ensure that all transaction data between Project Operations and Business Central is taken care of, refer to the below architecture which we’ve incorporated in our PO-BC Integration Module –  To conclude that, when Organizations have their business systems connected to accounting and the financial transactions are taken care of, cashflow issues are eradicated so that organizations can bill on time and get paid on time.  Without this, cashflow chaos is difficult to overcome and fixing billing issues is of prime importance.  We hope you found this blog useful, and if you would like to discuss anything, you can reach out to us at transform@cloudfonts.com.

At the turn of 2025, AI has been infused in everything we do, both in our personal lives and at work. As AI becomes more mainstream in business, from mastering prompt engineering to having a solid data catalog, it’s become crucial for organizations to ensure their applications are fully AI-ready. This article will focus on how you can drive AI and Insights from your Sales to Billing cycle at your organization to establish a dependable AI strategy.  PO and BC – Data Catalog: The word ‘Data Catalog’ gives an impression of all the data being available through connected systems through a single source – this source is AI Agents.  Organizations which run their projects with Project Operations have Sales cycle, Project & Resource Management, Invoicing in Business Central with all the transaction data from Project Operations – they for a data catalog when connected.  AI Agents need a data catalog to have consolidated form a system which it can leverage to give reliable insights and take correct actions which you define in your business. For example – AI will give incorrect responses or not act accordingly if the two systems are not connected, and AI Agents are not able to make sense of it. This will throw off the AI Strategy planned for your organization.  A well-organized Data Catalog increases AI Agents’ reliability and accuracy, enabling correct results and supporting AI use-cases in your organization.  PO-BC Integration Module: There is an absence of an integration solution between Project Operations and Business Central which caters to connect Customers/Projects from Project Operations to transaction data in Business Central.  Now, the AI Strategy will align only when the systems are seamlessly connected end-to-end. And due to this disconnect, the Project Management as well as the Business Central data doesn’t align and is human-dependent for its reliability which is counter-intuitive. AI won’t give errors, it’ll give incorrect answers! And hence, the integration needs to be in place for data integrity to drive AI Agents off of this reliable data.  To fill this gap of Project Operations and Business Central not being connected out-of-the-box, CloudFronts has released PO-BC Integration Module to bridge this gap and connect Project Operations to Business Central. This solution connects Project Operations data end-to-end to Business Central and back so that the AI agents can take reliable actions against this data – either automatically or when asked.  Conclusion : For a reliable AI strategy, integrate systems like Project Operations and Business Central. Achieve this using CloudFronts’ PO+BC Integration solution. This ensures AI agents can use the data to improve cash flow for growth.  This will help optimize operations efficiencies so that both, resources and cashflow can be freed up to focus on growth at the organization.  We hope you found this article useful, and if you would like to discuss anything, you can reach out to us at transform@cloudfronts.com

If you are a decision maker at an organization and looking to strategize the information at your organization and how the systems should source information from one to another, then this post is for you.  Systems for source of truth at the organization is the question you are looking to get answered.  Dynamics 365 Applications involved for Professional Services firms  Let’s break down the systems from Dynamics 365 Application stack-standpoint –   Sales and Project Management  If you are a Professional Services firm in Construction, Engineering, Accounting, IT Services etc. and you have a Sales cycle running from Opportunity generation all the way to Project and Resource Management, then you need Dynamics 365 Project Operations – below is what Project Operations handles –   Accounting  Dynamics 365 Project Operations itself isn’t designed as an Accounting platform – it can create up to Pro-forma Invoices. But here’s to consider some options for Accounting –   Marketing  Marketing is a key aspect for an organization which primary deals with data like Accounts and Contacts – Here are some options to look out for –  HRMS  Maybe you are coming from an existing HR platforms, but here are some thoughts –   Tying it all together  As you’ve seen so far, the source of truth being Dynamics 365 Project Operations or core CRM application because of its flexibility, it is pivotal to source data from this system to other systems and all CRUD operations are tied to Project Operations upon integration.  Other systems are then used to perform their respective operation and send updates back to Project Operations through integration.  Conclusion  Making Dynamics 365 Project Operations as source of truth works for our customers as they find the information clean, consistent and available for correct reporting through just one system.  This gives a true view of the organization without having siloed systems which result in inconsistencies in data and information mismatch if integrations are not architected correctly. Making a system as source of truth gives you improved accuracy and trust in your organizations’ data and drives efficency in the longer run.  We hope you found this article useful, and if you would like to discuss anything, you can reach out to us at transform@cloudfronts.com