[{"data":1,"prerenderedAt":917},["ShallowReactive",2],{"website-api-page-case-studies-field-aerospace":3,"i-ph:arrow-left-light":149,"mainMenu":153,"i-n8n:box":317,"i-n8n:boxes":319,"i-n8n:sparkle":321,"i-n8n:layers":323,"i-n8n:connection":325,"i-n8n:pieces":327,"i-n8n:blocks":329,"i-n8n:files":331,"i-n8n:drives":333,"i-n8n:docs":335,"i-n8n:copyright":337,"i-n8n:note":339,"i-ph:caret-down":341,"i-n8n:chat":343,"i-n8n:discord":345,"i-n8n:blog":347,"i-n8n:users":349,"i-n8n:contribute":351,"i-n8n:score":353,"i-n8n:shield":355,"i-n8n:lightning":357,"i-n8n:help":359,"website-global-component-39":361,"i-ph:arrow-right":376,"footer":378,"githubCount":507,"i-uil:github":508,"website-global-component-35":510,"sub-footer":706,"i-n8n:arrow-link":915},{"id":4,"documentId":5,"url":6,"hideFooterCta":7,"hideFooterTestimonials":7,"createdAt":8,"updatedAt":9,"publishedAt":10,"pageTitle":11,"pageType":12,"templateId":12,"templateVariant":12,"SEO":13,"content":63,"editorialView":148,"searchPageConfig":12},946,"oyh9cwfhkjjv1bdnd7iq8p90","/case-studies/field-aerospace",false,"2026-02-24T15:12:27.084Z","2026-03-03T11:28:48.200Z","2026-03-03T11:28:48.527Z","Case study Field Aerospace",null,{"id":14,"metaTitle":15,"metaDescription":16,"keywords":12,"metaRobots":12,"structuredData":12,"metaViewport":12,"canonicalURL":12,"metaImage":17,"metaSocial":62},830,"How Field Aerospace uses n8n to generate proposals faster and stay ahead of government solicitations","“Getting to the 80% stage would have taken us probably 2 weeks of 3-4 people working on it pretty consistently. And now we get there in 25 minutes.\"",{"id":18,"documentId":12,"name":19,"alternativeText":12,"caption":12,"width":20,"height":21,"formats":22,"hash":57,"ext":24,"mime":27,"size":58,"url":59,"previewUrl":12,"provider":60,"provider_metadata":12,"createdAt":61,"updatedAt":61,"publishedAt":12,"focalPoint":12},2529,"og-n8n-case-study.png",1200,630,{"large":23,"small":33,"medium":41,"thumbnail":49},{"ext":24,"url":25,"hash":26,"mime":27,"name":28,"path":12,"size":29,"width":30,"height":31,"sizeInBytes":32},".png","https://n8niostorageaccount.blob.core.windows.net/n8nio-strapi-blobs-stage/assets/large_og_n8n_case_study_67f8b9ae05.png","large_og_n8n_case_study_67f8b9ae05","image/png","large_og-n8n-case-study.png",387.7,1000,525,387698,{"ext":24,"url":34,"hash":35,"mime":27,"name":36,"path":12,"size":37,"width":38,"height":39,"sizeInBytes":40},"https://n8niostorageaccount.blob.core.windows.net/n8nio-strapi-blobs-stage/assets/small_og_n8n_case_study_67f8b9ae05.png","small_og_n8n_case_study_67f8b9ae05","small_og-n8n-case-study.png",119.24,500,263,119237,{"ext":24,"url":42,"hash":43,"mime":27,"name":44,"path":12,"size":45,"width":46,"height":47,"sizeInBytes":48},"https://n8niostorageaccount.blob.core.windows.net/n8nio-strapi-blobs-stage/assets/medium_og_n8n_case_study_67f8b9ae05.png","medium_og_n8n_case_study_67f8b9ae05","medium_og-n8n-case-study.png",241.96,750,394,241958,{"ext":24,"url":50,"hash":51,"mime":27,"name":52,"path":12,"size":53,"width":54,"height":55,"sizeInBytes":56},"https://n8niostorageaccount.blob.core.windows.net/n8nio-strapi-blobs-stage/assets/thumbnail_og_n8n_case_study_67f8b9ae05.png","thumbnail_og_n8n_case_study_67f8b9ae05","thumbnail_og-n8n-case-study.png",38.86,245,129,38860,"og_n8n_case_study_67f8b9ae05",124.18,"https://n8niostorageaccount.blob.core.windows.net/n8nio-strapi-blobs-stage/assets/og_n8n_case_study_67f8b9ae05.png","strapi-provider-upload-azure-storage","2025-04-24T07:16:40.311Z",[],[64,70,97,105,127],{"__component":65,"id":66,"tagline":12,"title":67,"description":68,"themeVariant":69},"components.hero-basic-section",350,"How Field Aerospace speeds up **proposal generation for government solicitation** with n8n","Aircraft modification company replaces manual processes with AI-powered workflows, saving $22,000 annually and reducing proposal time from 2 weeks to 25 minutes.","orange",{"__component":71,"id":72,"n8nVersion":73,"banner":74,"logo":76,"metrics":88},"components.case-study-details",94,"Business",{"id":75},39,{"id":77,"documentId":78,"name":79,"alternativeText":80,"caption":80,"width":81,"height":82,"formats":12,"hash":83,"ext":24,"mime":27,"size":84,"url":85,"previewUrl":12,"provider":60,"provider_metadata":12,"createdAt":86,"updatedAt":87,"publishedAt":86,"focalPoint":12},3032,"ioshdj945ufm7ausalubeur0","fieldaero.png","",167,60,"fieldaero_bd9b7ec107",1.43,"https://n8niostorageaccount.blob.core.windows.net/n8nio-strapi-blobs-prod/assets/fieldaero_bd9b7ec107.png","2026-02-25T10:43:27.178Z","2026-02-25T10:43:27.869Z",[89,93],{"id":90,"label":91,"content":92},152,"Annual software costs eliminated","$30K",{"id":94,"label":95,"content":96},153,"Time to reach an 80% proposal draft","25 minutes (vs 3-4 weeks before)",{"__component":98,"id":99,"content":100,"variant":12,"settings":101,"heading":12},"components.rich-text",252,"## Context\n\n[Field Aerospace](https://fieldaero.com/) is an aircraft modification company with operations in Oklahoma City and Toronto, and a corporate presence in Cincinnati. The team designs, fabricates, installs, tests, and supports certification of aircraft modifications, often for **U.S. Department of Defense programs and international customers**. \n\nWith around 250 employees, Field’s business development and program teams regularly respond to **complex government solicitations where speed, accuracy, and consistency directly impact competitiveness**.\n\nOperating in a **highly regulated and sensitive environment**, Field required a solution that could run **fully on premises** while still enabling **non-technical users to benefit from automation**. The goal was clear: **move faster on proposals without compromising security, auditability, or control**.\n\n## Challenge\n\nField Aerospace’s first challenge was the sheer effort required to evaluate and respond to solicitations. Many solicitations exceed **50 pages**, and extracting requirements manually can take hours. Drafting a proposal response often required **two weeks of work from three to four people**, pulling time away from pricing, program execution, and risk assessment.\n\nOpportunity discovery was another major issue. **Thousands of government solicitations are published and updated regularly**, and Field sometimes learned about relevant opportunities too late. When that happened, teams were forced to rush proposal preparation, **increasing risk and reducing response quality**.\n\nAt the same time, Field was paying for **multiple third-party tools** that still did not fully meet their needs. They needed a **secure, self-hosted system** that could **reduce manual effort, improve consistency, and help them engage earlier with the right opportunities**.\n\n## Solution\n\n![cs-field-aerospace.png](https://n8niostorageaccount.blob.core.windows.net/n8nio-strapi-blobs-stage/assets/cs_field_aerospace_1bd6bfa2e4.png)\n\nField adopted a **self-hosted n8n deployment** and **built an internal web application to make automation accessible to business users**. The application, built with **React and a Node.js backend**, acts as a simple entry point for program managers and business development staff. Users upload solicitation files, trigger workflows via **webhooks**, receive notifications when processing completes, and review outputs through a clean interface **without interacting directly with workflows**.\n\nFor proposal creation, **n8n orchestrates a set of workflows** that break each solicitation into structured sections, extract key prompts and requirement language, and generate draft responses. The system combines solicitation content with an internal **library of approved reference material**, including past performance examples, so outputs reflect **Field’s real capabilities rather than generic AI text**. Drafts are returned in Markdown, clearly marked as AI-generated starting points, and exported into **Microsoft Teams for review and refinement**. \n\nFor requirements extraction, Field built a workflow that processes long solicitation documents and produces a **consolidated requirements matrix**. Instead of manually searching for shall, must, and will statements, teams receive a **structured output they can validate and reuse downstream**.\n\nTo improve opportunity discovery, Field implemented an **automated evaluator workflow on n8n** that connects to **Deltek GovWin via API**. Each day, n8n retrieves newly created or updated solicitations, **scores them against Field’s internal criteria**, and delivers a **filtered report to business development and leadership**. By surfacing only **high-fit opportunities**, the team can focus attention where it matters most.\n\nField has also begun building an **internal AI chatbot connected to company data**, orchestrated by n8n, allowing employees to ask questions **without exposing sensitive context to external tools**.\n\n## Results\n\nField replaced **two legacy tools** and eliminated approximately **$30,000 in annual software costs**. More importantly, the new workflows dramatically reduced the time burden on a small, highly utilized team. A proposal draft that previously required **about two weeks of work** from multiple contributors can now reach an **80% starting point in roughly 25 minutes**, allowing teams to focus on **pricing, evaluation, and risk reduction**.\n\nRequirements extraction improved as well. What once took **hours of manual effort** is now produced in **15 to 20 minutes**, depending on document size, with outputs that are **easier to validate and reuse**.\n\nOperationally, the opportunity evaluator has **reduced the risk of missed solicitations and last-minute proposal scrambles**. By identifying relevant opportunities earlier and accelerating proposal preparation, Field reports **more consistent response quality and a stronger competitive position**. The team expects these improvements to **support higher win rates over time**, while continuing to expand n8n into additional internal processes and data sources.",{"id":102,"anchorLink":12,"sectionMargin":103,"sectionSize":104,"sectionGapX":7},1788,"none","full",{"__component":106,"id":107,"title":12,"content":108,"themeVariant":12,"logo":12,"author":109,"button":12,"settings":124},"components.case-study-feedback",414,"\"A general proposal to get to the 80% stage would have taken us probably two weeks of three or four people working on it pretty consistently. 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