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Additive manufacturing has reshaped the way industries approach production, offering unparalleled design freedom, material efficiency, and supply chain flexibility. However, despite its many advantages, AM still faces significant challenges, from production bottlenecks to data silos and quality control issues. This is where a robust Additive Manufacturing MES (Manufacturing Execution System) comes into play, streamlining operations and unlocking the full potential of AM. Common Challenges in Additive Manufacturing 1. Workflow Inefficiencies Managing AM production across multiple machines, materials, and post-processing steps can be complex. Many companies still rely on manual tracking methods, leading to delays, miscommunication, and inconsistencies in production. 2. Data Fragmentation AM processes generate vast amounts of data, from design files to machine parameters and post-processing logs. Without a centralised system, this data often becomes siloed, making it difficult to optimise production and ensure traceability. 3. Quality Assurance & Compliance Ensuring part quality in AM is critical, especially in industries like aerospace, healthcare and defence, where compliance standards are strict. Without real-time monitoring and automated reporting, defects can go unnoticed, leading to costly rework or part failures. 4. Scalability Issues As businesses expand their AM operations, they need scalable solutions to handle increasing production demands. Traditional manufacturing software often lacks the flexibility required for AM workflows, making it difficult to scale efficiently. How an Additive Manufacturing MES Helps Overcome These Challenges A Manufacturing Execution System (MES) tailored specifically for AM can address these issues by providing end-to-end visibility, automation, and data-driven decision-making. Here’s how: 1. Streamlined Workflow Management An Additive Manufacturing MES automates job scheduling, material tracking, and post-processing workflows, reducing human errors and improving efficiency. By integrating with machines and ERP systems, it ensures seamless production planning and execution. 2. Centralised Data & Real-Time Insights With an MES, all AM-related data is collected and stored in one place, providing real-time insights into production performance. This enables better decision-making, predictive maintenance, and continuous process optimisation. 3. Enhanced Quality Control & Compliance MES solutions facilitate real-time monitoring of AM processes, capturing data at every stage to ensure quality standards are met. Automated compliance reporting simplifies audits and ensures traceability, reducing risks in regulated industries. 4. Scalability & Flexibility An advanced MES system grows with your business, allowing you to add new machines, materials, and production workflows effortlessly. This flexibility supports long-term growth and adapts to evolving AM technologies. Success is best when shared! Overcoming challenges in Additive Manufacturing is easier with the right MES. Why Choose Authentise for Additive Manufacturing MES? At Authentise , we specialise in Additive Manufacturing MES solutions designed to tackle the unique challenges of AM. Our data-driven platform integrates seamlessly with your existing workflows, offering real-time tracking, automation, and AI-driven insights to enhance efficiency and quality. With Authentise MES, manufacturers gain the control and visibility they need to scale their AM operations confidently. Conclusion The future of additive manufacturing depends on overcoming inefficiencies, improving data management, and ensuring high-quality standards. Implementing an Additive Manufacturing MES is a crucial step toward achieving these goals. Whether you’re struggling with workflow complexity, quality assurance, or scalability, an MES solution - like the one offered by Authentise - can help transform your AM operations for long-term success. Ready to optimise your additive manufacturing processes?  Get in touch with Authentise  today to learn more about how our MES solutions can drive efficiency and innovation in your production workflows.

Engineering project reviews are a critical checkpoint in any development process. They ensure that projects remain on track, risks are mitigated, and key milestones align with expectations. Whether in aerospace, defense, or additive manufacturing, project reviews provide accountability and structured decision-making. However, the process can often be time-consuming and fragmented, with data spread across multiple systems, teams, and tools. At Authentise , we’re not here to replace your project reviews - we’re here to make them smoother, smarter, and more efficient by ensuring that all relevant information is available at your fingertips, right when you need it most. The Challenge: Complex, Disconnected Reviews Traditional engineering project reviews involve pulling together dispersed data from CAD models, production logs, quality reports, and supplier communications. This often means manual collection, outdated documents, and misaligned teams. In sectors such as defense and aerospace, where structured milestone-based evaluations like SRR (System Requirements Review), PDR (Preliminary Design Review), and CDR (Critical Design Review) are crucial, disorganisation can lead to costly delays. No more chasing paper trails or hunting down updates! With Authentise, all your project data is in one place - always up-to-date and ready when you are.   Authentise: The Digital Backbone of Seamless Reviews Authentise’s data-driven approach removes bottlenecks and ensures that every review is informed by real-time insights. Our platform integrates seamlessly with existing workflows, reducing manual effort and enhancing transparency. Here’s how: 🔹 Centralised Data Access  – No more hunting for files; all project details are in one place. 🔹 Automated Updates  – Real-time insights ensure that project statuses, supplier communications, and production metrics are always up to date. 🔹 Version Control & Traceability  – Maintain a complete audit trail to support decision-making at every stage. 🔹 Live Dashboards  – Visualise progress towards milestones such as SRR, PDR, and CDR without manual tracking. Aligning with DoD Milestones & Best Practices In defence and aerospace, structured project milestones define progress. Authentise aligns with key Department of Defense (DoD) review frameworks to help ensure projects meet compliance and security requirements. By providing automated tracking, audit logs, and real-time reporting, our platform makes it easier to prepare for milestone reviews and stay ahead of deadlines. The Future of Engineering Project Reviews Project reviews are here to stay, but they don’t have to be slow or inefficient. With Authentise , teams gain real-time visibility, automated reporting, and a single source of truth, ensuring that every review is backed by accurate, actionable data. Looking to streamline your project review process? Let’s talk!   Visit Authentise.com  to learn more.

Dirty data costs the additive industry millions of dollars a year. Material parameter development, operational mistakes, or part failure could all be avoided if reliable, detailed and comprehensive data about previous production runs were available. Beyond the immediate savings, there are several other reasons why clean data is critical for the future of our industry: Firstly, it ensures accurate predictions and decision making, which optimizes processes, predicts failure and forecasts demand. Bad data = bad decision making. Secondly, it enables effective collaboration and communication within the manufacturing ecosystem. Even the simple case of proving the need for more machines hinges on clean utilization data to persuade management. It’s also critical to make sure that tribal knowledge within the organizations is passed on effectively. Thirdly, it is necessary for effective supply chain management, by keeping all parties informed about inventory levels and schedules. In the future, we might also be able to infer and compensate potential assembly problems in advance with all the right data available. Lastly, it ensures compliance with industry regulations, avoiding costly fines and penalties. It also helps in the development of those regulations and standards, giving the relevant committees access to the information. It can also help enforce those effectively, by sharing data with auditors. 📖 Why Your AM Data Isn’t Audit-Ready (Even If You Think It Is) Above all, clean data is critical for the future. Increasingly powerful AI programs rely on clean data to make effective decisions. If we want to get to “first time right”, then bad data is not an option, as it reinforces bad decision making. And yet, the most common routes are closed to the additive industry. In additive, AI can’t build on deep data such as a single sensor providing data on millions of parts. Instead, the AI needs to be trained on contextual data from the full production process starting with the origin of the design, through the genealogy of the feedstock, to the actions of the operators and the output of the machines. This makes the challenge of capturing clean data all the greater. Deploying the next generation technology relies on moving on from 20th century habits of doing everything on paper. To capture clean data from the full context of parts requires everybody to work together to move the processes onto a digital framework. That doesn’t mean users can’t use their favourite software to do the tool pathing, or have to forgo the meeting to sign off production. Just that these actions and decisions be integrated or digitally captured. 📖 Engineering Data Isn’t in Your PLM: Why Lost Intent Is Costing You More Open workflow solutions such as Authentise Flows AM can provide extensible ways to manage the process efficiently while capturing the process data. But without the collaborative effort of everybody in the organization to adopt and maintain such systems, they won’t yield the data required. Software itself can do a lot to help. New AI can help clean and augment sparse data and well-designed software can make the process of bringing everybody onboard the journey easier. But in the end, the important step is to start engaging people on a digital journey. The time to do so is now. AM part prices are still a multiple higher than their traditional counterparts, yield rates are terrible and AM market penetration in manufacturing is still abysmal. The long term viability of additive operations may depend on the industry’s ability to level up. That can only happen with clean data. Article initially published on 3DPrint.com by Authentise. ⚙️ Flows AM – Workflow Management Software

, resources, people and tools that represent most manufacturing environments… a contextual digital thread

TL;DR Additive manufacturing workflows rarely fail because of printer limitations alone. More often, delays, rework, missed deadlines, and quality issues come from disconnected systems, manual handoffs, missing engineering context, material shortages, and approval bottlenecks. Understanding where additive manufacturing workflows commonly break down can help teams reduce inefficiencies, improve traceability, and scale production more successfully. Where Additive Manufacturing Workflows Break Down (And How to Prevent It) Additive manufacturing promises speed, flexibility, and the ability to move from idea to production faster than traditional manufacturing. Yet many organisations discover something frustrating once they begin scaling: The printer is rarely the real bottleneck. Instead, delays often happen between steps — when teams wait for approvals, hunt for files, discover material shortages, or struggle to understand why a design changed in the first place. In other words, the workflow breaks down. And when workflows break down, additive manufacturing becomes slower, more expensive, and harder to scale. In this guide, we explore the most common places additive manufacturing (AM) workflows fail — and, more importantly, how to prevent them. 👉 Data, Software and Workflow in Additive Manufacturing: A Practical Guide 1. Quoting Takes Too Long For many manufacturers, workflow delays begin before production even starts. Quoting additive manufacturing jobs often involves: Manual spreadsheets Engineering reviews Material cost calculations Machine time estimates Back-and-forth approvals While this may work at low volume, it quickly becomes difficult to manage as complexity increases. Long quoting cycles can create problems such as: Slow customer response times Lost opportunities to faster competitors Inconsistent pricing Bottlenecks for engineering teams When customers expect rapid turnaround, waiting days for a quote can become a competitive disadvantage. How to Prevent It Standardising quoting processes and improving visibility into materials, machine availability, and costing assumptions can significantly reduce delays. Connected workflows also help remove duplicated effort and reduce the risk of pricing inconsistencies. Related reading: What Is Additive MES? A Practical Guide to MES for Additive Manufacturing The Complete Guide to Additive Manufacturing Workflow Software: Strategies, ROI, Compliance & Real-World Impact 2. Engineering Data Lives in Too Many Places One of the biggest hidden workflow problems in additive manufacturing is fragmented information. It is surprisingly common for data to live across: CAD systems Shared drives Emails Spreadsheets Messaging platforms Individual engineers’ notes When this happens, teams waste valuable time simply trying to find information. Engineers search for the latest file version. Production teams wait for clarification. Quality teams struggle to locate documentation. And suddenly, what should be a fast process slows down considerably. The issue is often not missing data. It is missing visibility. How to Prevent It Creating stronger connections between systems and reducing information silos helps teams work from a shared source of truth. When design, production, materials, and quality information become easier to access, handoffs become faster and mistakes become less common. Related reading: Data, Software and Workflow in Additive Manufacturing: A Practical Guide What Is Additive MES? A Practical Guide to MES for Additive Manufacturing 3. Engineering Intent Gets Lost During Handoffs This is one of the most overlooked workflow failures in additive manufacturing. Many organisations assume sharing a CAD file is enough. It is not. A CAD file may show what to build. It rarely explains: Why a tolerance changed Which design trade-offs were accepted Why a parameter was modified What risks were discussed Who approved key decisions This missing context is often referred to as engineering intent. And as workflows become more complex — especially across suppliers, teams, or locations — losing that intent creates unnecessary confusion. A production team may follow the file exactly but still miss the reasoning behind important decisions. The result? Rework, delays, inconsistent outcomes, and avoidable mistakes. How to Prevent It Manufacturers benefit from creating processes that preserve context alongside design data. Capturing decisions, approvals, conversations, and rationale helps ensure teams understand not just what changed — but why. This becomes especially important for regulated industries where auditability matters. PRESS RELEASE: Authentise Launches “Whisper,” an Agentic AI Backbone for Engineering and Manufacturing 4. Material Availability Creates Hidden Delays Material issues can quietly disrupt additive manufacturing workflows. Teams may assume material is available, only to discover: Stock is lower than expected The wrong material batch is available Reserved inventory has already been allocated elsewhere Incoming deliveries are delayed These problems often appear late in the process, causing production schedules to shift unexpectedly. And because additive manufacturing materials can be specialised or difficult to source quickly, delays become costly. How to Prevent It Forward-looking material planning helps reduce surprises. Rather than only understanding what is on the shelf today, manufacturers benefit from visibility into: Upcoming production demand Reserved materials Incoming inventory Forecast shortages The earlier material risks are identified, the easier they are to solve. Related reading: 5 Material Management Mistakes That Cost AM Teams Traceability & Compliance in Additive Manufacturing 5. Quality Checks Become Bottlenecks Quality assurance is essential in additive manufacturing — particularly in industries such as aerospace, defence, healthcare, and energy. But quality processes often become disconnected from production. Documentation may sit in separate systems. Approvals happen manually. Testing records become difficult to locate. And compliance reporting turns into an administrative burden. The problem becomes worse as production scales. Without traceable processes, quality teams can quickly become a bottleneck. How to Prevent It Connected workflows help quality move alongside production instead of lagging behind it. When documentation, approvals, machine data, and material records remain linked throughout the workflow, traceability becomes easier and reporting becomes less painful. This is especially important for regulated manufacturing environments. Related reading: Traceability & Compliance in Additive Manufacturing 5 Material Management Mistakes That Cost AM Teams 6. Machines Sit Idle While Teams Wait Many manufacturers assume poor printer utilisation is caused by machine limitations. In reality, printers often sit idle for entirely different reasons. Teams are waiting for: File approvals Material confirmation Scheduling decisions Design clarification Customer signoff In many cases, the printer is ready — the workflow is not. This hidden downtime can quietly reduce productivity and increase production costs. How to Prevent It Mapping the workflow around production — not just the production step itself — often reveals avoidable delays. Improving coordination between teams, approvals, and scheduling can unlock more efficiency without adding additional equipment. A surprising number of bottlenecks happen before the print even starts. Industry 4.0 for SMEs: A Practical Guide to Digital Transformation in Manufacturing 7. Scaling Breaks the Process Many additive manufacturing workflows work well at small scale. Then growth happens. Suddenly there are: More machines More engineers More customers More suppliers More revisions More compliance requirements Processes that once felt manageable begin relying on spreadsheets, workarounds, and tribal knowledge. What worked during pilot production struggles to survive real operational complexity. How to Prevent It Scaling additive manufacturing successfully often depends on standardisation. Clear workflows, stronger visibility, repeatable approvals, and connected information help reduce chaos as operations grow. The goal is not adding unnecessary complexity. It is building processes that remain manageable as demand increases. Why Most Additive Manufacturing Workflow Problems Are Really Coordination Problems When workflows break down, it is easy to blame machines, staffing, or technical limitations. But more often, the issue lies in coordination. Information becomes fragmented. Approvals slow down. Context disappears. Teams rely on manual workarounds. And friction quietly grows between systems, people, and decisions. The result is an additive manufacturing process that feels far more difficult than it should. Final Thoughts Additive manufacturing workflows rarely collapse overnight. More often, they fail quietly. A missed approval here. An outdated file there. A material shortage nobody saw coming. A design change that lost its context. Individually, these issues seem manageable. Together, they create delays, quality risks, and operational frustration. The good news is that most workflow problems are preventable. By improving visibility, reducing silos, preserving engineering intent, and connecting information across teams, manufacturers can build workflows that scale more effectively — without sacrificing quality or speed. Frequently Asked Questions What causes additive manufacturing workflows to fail? The most common causes include disconnected systems, manual approvals, fragmented engineering data, material shortages, lost engineering context, and poor visibility between teams. What is the biggest bottleneck in additive manufacturing? While many assume machines are the bottleneck, delays often happen earlier in the workflow through quoting, approvals, material planning, or communication breakdowns. How can manufacturers improve additive manufacturing workflows? Manufacturers can improve workflows by reducing manual handoffs, improving data visibility, standardising processes, strengthening traceability, and connecting information across systems. Why is engineering intent important in additive manufacturing? Engineering intent helps teams understand why decisions were made during design and production. Without it, teams risk mistakes, rework, and inconsistent outcomes.

In the engineering and manufacturing industry we’ve been working for decades on digitizing the description and performance of our products and the processes by which we make them. As a result the traditional methods and organizational paradigms that govern how we deliver new innovations to market ought to change too, right? After all, if we’ve digitized product & process definition then, surely, we can iterate at similar speeds, and with similar methods, to the software world, right? Maybe. Image by ArtPhoto_studio on Freepik Although continually adapting, in many industrial engineering organizations, a lot of the ideas & methods in place today are based on working ideas from the last century: The stage gate process, which a huge number of corporations utilize, really took off in the 1960s. 📖 Engineering Data Isn’t in Your PLM: Why Lost Intent Is Costing You More The better news is that there’s change in the air. Many are starting to realise that our best source of experience and inspiration, in how we go about delivering innovation, comes from what software teams have been doing for a while now. In fact, the latest “State of Agile Report” outlines that 1/3 of engineering / R&D teams have now adopted Agile. Agile is definitely “crossing the chasm” . However, did you know that the Agile Manifesto is 22 years old this Feb? Birthday celebrations aside, outside of software, vertically stacked, cross functional, integrated project teams, focussed on the needs of the customer, and the overall performance of their supporting systems, collaborating together, in a daily scrum are increasingly buzzworthy ideas of late. The buzz is warranted. Agile projects have been proven to be 1.5x more successful than traditional methods, with 2.5x better quality and 25% improved productivity. It’s incredibly exciting to see these changes, and the benefits they bring. 📖 PLM vs MES vs Workflow Software in AM: What Goes Where? However, what’s not so exciting is the level of support software provides to these processes. Outside of the software industry, there’s little support for agile processes. In addition, the vast majority of software offerings in the market today, particularly in R&D, involve isolated disciplinary islands. To be blunt, today’s tools for engineering are not as well developed as they need to be. At Authentise, we believe this needs to change! As with the change in methods, we foresee a need for better support from our software tools. We’re in a position to help, and are actively developing solutions. If you feel the same, and want to get involved and help, we want to hear from you! Contact us or leave a comment at the very end of this page. ⚙️ Whisper

Integration Seamlessly link with Authentise Flows and Threads, enabling digital assets to move directly Part of a Connected Digital Thread Digital Design Warehouse doesn’t exist in isolation. It connects directly into the Authentise Digital Thread, ensuring design data flows smoothly into production housed in DDW can be pulled directly into Authentise Flows for automated workflow management or into Threads

Integrated digital threads: Connecting order management, design collaboration, and machine data ensures

Their digital thread ensures quality and performance for additive parts. While there is a common perception that digitization is a threat to the world’s workers, leading companies Additive's continuous development Today Carpenter Additive boasts an easy access, comprehensive digital thread

It lives in emails, meetings, chat threads, and informal decisions. Whisper changes that. Its digital thread tools, Flows and Threads, provide the backbone of SPARC’s live capacity insights and

It happens in: Slack threads Email chains Meetings and calls “Quick chats” in the hallway Only the final conversations across Slack, email, meetings, and documents Structures them into permission-aware knowledge threads

of AI in Manufacturing: 2026 Trends, Tools & Real-World Impact Digital Manufacturing and the Digital Thread repeatability collaboration Modern additive manufacturing environments increasingly depend on the digital thread Related reading: What Is a Digital Thread in Additive Manufacturing? Trace, and Scale in 2026 Accelerating the Art-to-Part Process: Harnessing the Power of the Digital Thread