{ "generated_at": "2026-08-17T08:31:22+00:00", "name": "Assembly", "aliases": [ "AI Assembly", "AI Assembly Lines", "aiassemblylines.com" ], "legal_name": "AI Assembly Lines", "website": "https://aiassemblylines.com", "tagline": "AI transformation partner for enterprises, regulated industries, and private equity firms", "description": "Assembly is an AI transformation partner that helps enterprises identify high-impact AI opportunities and turn them into measurable business outcomes. It helps clients clarify where to start, select the right use cases and vendors, design the operating model and governance, and deliver AI solutions that work in production.", "type": [ "Organization", "ProfessionalService", "ConsultingFirm" ], "industry": [ "Management consulting", "Artificial intelligence" ], "headquarters": { "street": "850 New Burton Road, Suite 201", "city": "Dover", "region": "DE", "postal_code": "19904", "country": "US" }, "contact": { "email": "daniel@aiassemblylines.com", "phone": "+19297558264", "contact_page": "https://aiassemblylines.com/get-in-touch" }, "audiences": [ "Mid-market companies", "Regulated industries (financial services, healthcare, retail, business services)", "Leadership teams without an AI roadmap", "Private equity firms and portfolio companies" ], "principles": [ "Clarity before execution", "Business impact over demos", "Governance before scale", "Adoption matters more than novelty", "Build around existing systems, not around generic tools", "Measure success in outcomes, not benchmarks" ], "links": { "home": "https://aiassemblylines.com/", "services": "https://aiassemblylines.com/services", "blog": "https://aiassemblylines.com/blog", "resources": "https://aiassemblylines.com/resources", "contact": "https://aiassemblylines.com/get-in-touch", "developers": "https://aiassemblylines.com/developers", "llms_txt": "https://aiassemblylines.com/llms.txt", "sitemap": "https://aiassemblylines.com/sitemap.xml", "rss": "https://aiassemblylines.com/rss.xml", "openapi": "https://aiassemblylines.com/openapi.json", "articles_api": "https://aiassemblylines.com/api/articles.json" }, "services": [ { "id": "ai-strategy", "name": "AI Strategy", "summary": "A structured assessment that identifies high-impact AI use cases, maps system and data readiness, aligns stakeholders, and builds an execution roadmap grounded in business value.", "includes": [ "Baselining", "Use case qualification", "Business case development", "Execution roadmap" ], "url": "https://aiassemblylines.com/services" }, { "id": "fractional-ai-coe", "name": "Fractional AI CoE", "summary": "Support for standing up the operational layer required for AI adoption: vendor and tool selection, architecture and integration planning, governance, operating model design, and success metrics.", "includes": [ "Vendor and tool selection", "Architecture and integration planning", "Governance", "Operating model design", "Success metrics" ], "url": "https://aiassemblylines.com/services" }, { "id": "ai-solutions", "name": "AI Solutions", "summary": "Custom AI solutions built around the client's workflows, systems, and constraints, with a focus on measurable business impact and deployment in weeks rather than quarters.", "includes": [ "Custom AI solution design and build", "Legacy system integration", "Change management", "Production deployment" ], "url": "https://aiassemblylines.com/services" } ], "how_to_engage": { "contact_page": "https://aiassemblylines.com/get-in-touch", "email": "daniel@aiassemblylines.com" }, "resources": [ { "id": "state-of-ai-shared-services-2026-benchmarks", "title": "What Is the State of AI in Shared Services? 2026 Benchmarks From 6 Studies", "summary": "AI in shared services is at a tipping point: 66% of GBS orgs are investing while 56% automate under half their work. See where your organization stands.", "url": "https://aiassemblylines.com/resources/state-of-ai-shared-services-2026-benchmarks", "image": "https://framerusercontent.com/images/a0PRM2yRI1YzsTBmeoK4iZB6Q.png" }, { "id": "state-of-ai-revenue-cycle-management-2026-benchmarks", "title": "What Is the State of AI in Revenue Cycle Management? 10 Benchmarks for 2026", "summary": "AI in revenue cycle management: 63% of providers use it, only 15% see ROI, and denials keep climbing. See how your revenue cycle compares against 2026 peers.", "url": "https://aiassemblylines.com/resources/state-of-ai-revenue-cycle-management-2026-benchmarks", "image": "https://framerusercontent.com/images/a0PRM2yRI1YzsTBmeoK4iZB6Q.png" }, { "id": "state-of-ai-procurement-2026-benchmarks", "title": "What Is the State of AI in Procurement? 2026 Benchmarks From 5 Studies", "summary": "AI in procurement is everywhere but shallow: 92% of CPOs are planning it, 49% piloted, just 4% run it at scale. See how your team compares going into 2026.", "url": "https://aiassemblylines.com/resources/state-of-ai-procurement-2026-benchmarks", "image": "https://framerusercontent.com/images/a0PRM2yRI1YzsTBmeoK4iZB6Q.png" }, { "id": "state-of-ai-accounts-payable-2026-benchmarks", "title": "What Is the State of AI in Accounts Payable? 10 Benchmarks for 2026", "summary": "AI in accounts payable is nearly universal, yet the average team is touchless on just 32.6% of invoices vs. 49.2% for leaders. See where your AP stands.", "url": "https://aiassemblylines.com/resources/state-of-ai-accounts-payable-2026-benchmarks", "image": "https://framerusercontent.com/images/a0PRM2yRI1YzsTBmeoK4iZB6Q.png" }, { "id": "ai-transformation-framework-guide", "title": "The AI Transformation Framework: 5 Dimensions That Determine Whether Enterprise AI Scales", "summary": "Most enterprise AI programs stall because they are missing one of the same five dimensions. See which dimension your program lacks before the next pilot fails.", "url": "https://aiassemblylines.com/resources/ai-transformation-framework-guide", "image": "https://framerusercontent.com/images/a0PRM2yRI1YzsTBmeoK4iZB6Q.png" }, { "id": "ai-transformation-shared-services", "title": "AI Transformation for Shared Services: The 4-Phase Roadmap for Ops Leaders", "summary": "Most shared services functions automate tasks but never scale AI into their operating model. Here is the 4-phase roadmap that changes that.", "url": "https://aiassemblylines.com/resources/ai-transformation-shared-services", "image": "https://framerusercontent.com/images/a0PRM2yRI1YzsTBmeoK4iZB6Q.png" }, { "id": "ai-initiatives-operating-model", "title": "Enterprise AI Operating Model: Hub-and-Spoke, Federated, or Centralized?", "summary": "Choosing the wrong AI operating model costs 12 to 18 months of rework. See which of the three architectures, centralized, federated, or hub-and-spoke, fits you.", "url": "https://aiassemblylines.com/resources/ai-initiatives-operating-model", "image": "https://framerusercontent.com/images/a0PRM2yRI1YzsTBmeoK4iZB6Q.png" }, { "id": "ai-transformation-governance-guide", "title": "AI Transformation Governance: The Accountability Framework for Enterprise AI Scale", "summary": "Most AI programs stall because of governance gaps, not bad technology. Here is the accountability framework that makes enterprise AI actually scale.", "url": "https://aiassemblylines.com/resources/ai-transformation-governance-guide", "image": "https://framerusercontent.com/images/a0PRM2yRI1YzsTBmeoK4iZB6Q.png" }, { "id": "ai-transformation-roadmap-guide", "title": "AI Transformation Roadmap: The 6-Phase Guide for Enterprise Operations Leaders", "summary": "Most enterprise AI pilots stall before they deliver ROI. Here is the 6-phase roadmap ops leaders use to move from first pilot to full enterprise AI scale.", "url": "https://aiassemblylines.com/resources/ai-transformation-roadmap-guide", "image": "https://framerusercontent.com/images/a0PRM2yRI1YzsTBmeoK4iZB6Q.png" } ] }