Case Study
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Migrating hundreds of thousands of pages, re-platforming and extending for the leading composable AI integration platform
From Adobe Experience Manager to Kontent.ai
We are the Adobe Experience Manager to Kontent.ai migration experts
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Challenges with Adobe Experience Manager
Key pain points
AEM’s biggest flaw is simple: everything about it is expensive. The license, the hosting, the maintenance, the consultants, the upgrades, and the people required to even use it. The learning curve is a cliff, implementation cycles move at glacial speed, and the UI feels like punishment for asking to edit content. Performance tanks the moment you customise anything, and collaboration is basically “email the PDF and pray.” If you ever see the word specialised in an AEM context, just assume the invoice comes with an extra zero.
It’s the definition of a heavyweight DXP built for organisations with more bureaucracy than sense. For everyone else, it becomes a slow-moving, over-engineered system that requires Adobe-certified babysitters just to stay alive. If you’re considering scrapping it for something faster, saner, and built this decade, we can help you migrate without dragging the AEM baggage along for the ride.
High complexity and cost
AEM is one of the most expensive CMS/DEXP platforms on the market, with licensing, hosting, and maintenance costs that only make sense for very large enterprises.
Steep learning curve
The platform is dense and requires specialised training just to perform routine tasks. Most teams can’t operate it without dedicated experts.
Prolonged implementation periods
Even simple projects take months. Rollouts, upgrades, and workflow changes move slowly and require careful planning to avoid breaking things.
Challenging navigation of capabilities
AEM packs in a huge feature set, but finding and configuring what you actually need can feel like wading through molasses.
Necessary reliance on Adobe partners
You’re essentially forced into using Adobe-certified agencies or consultants for setup, maintenance, and troubleshooting and they don’t come cheap.
Not ideal for smaller companies
The cost, complexity, and operational overhead make AEM a poor fit for startups or mid-sized teams. Most will drown in it long before they benefit from it.
Benefits of Kontent.ai
Key advantages
Calling your CMS “Kontent dot ai” is a brilliant way to convince people you’ve built an AI-powered future. And to be fair, the platform does have a clean editor, strong workflow tools, and a respectable multi-channel setup.
It's perfect for the kind of company that has more infosec members than it does have devs. But calling yourself an AI platform doesn’t mean you’re built like one.
Real AI-driven CMS platforms start at the foundation with structured content, flexible modeling, real-time indexing, and an architecture that doesn’t panic the moment you try something complex. Sanity doesn’t even market itself as “AI-first,” but it’s been ahead of the curve for years. They shipped an embedding index before “AI CMS” was a pitch deck buzzword. We even built one of the first AI search tools on top of it.
So yes, Kontent.ai is great. If you want a polished interface and enterprise workflows, go for it. And if you’re dead-set on building your website there, talk to us first. We’ll walk you through it and maybe even find a better way before you spend six months discovering the limits yourself.
Intuitive content management
You shouldn’t need a week of onboarding to publish a paragraph. Kontent.ai nails this with a clean interface that doesn’t punish you for being a marketer instead of a developer.
Flexible content modeling
Build content the way your brain works. Modular, structured, reusable. No dev intervention every time marketing decides “we need one more field.”
Strong API-first architecture
The APIs are predictable, well-documented, and don’t require wild workarounds. Everything connects the way it should and developers stay happy too.
Tech stack integration
React, Vue, Angular, or whatever framework you’re obsessed with this week, Kontent.ai plays nice with all of them and keeps deployments smooth.
Advanced image transformations
You can resize, crop, and optimize visuals without leaving the CMS. Think of it as an in-house designer that doesn’t complain about aspect ratios.
Real-time collaboration
Writers, editors, and developers can work together without stepping on each other’s commits. Instant updates, fewer Slack messages, and zero “who overwrote my draft?” moments.
Common questions
Adobe Experience Manager to Kontent.ai migration FAQs
Answers to the most common questions about Adobe Experience Manager to Kontent.ai migration
How much does Adobe Experience Manager cost?
AEM is one of the most expensive CMS platforms on the market. Adobe doesn't publish list prices, but AEM Sites licensing typically starts around $60,000 per year on its own, and full AEM as a Cloud Service deployments usually land in the $200,000 to $300,000+ range annually. Implementation adds $500,000 to $1M, and Adobe support contracts add another 15-25% of licensing on top. We've seen companies paying more for their AEM contract than their entire engineering team's salaries. If that ratio sounds familiar, it's time to rethink the stack.
How long does it take to migrate off Adobe Experience Manager?
Plan for 4-8 months minimum for a full migration, depending on how customised your AEM instance is. The biggest bottleneck is usually content extraction. AEM's JCR (Java Content Repository) stores everything in a proprietary node structure that requires custom tooling to export cleanly. If you've built custom OSGi bundles, Sling models, or heavy DAM workflows, those all need to be rebuilt or replaced. Our approach is to run a parallel build, standing up the new stack while the old one stays live, then cutting over once everything is validated. That way editorial teams never lose a day of productivity.
Is AEM worth it for companies not using the full Adobe suite?
Honestly, no. AEM's biggest advantage is its tight integration with Creative Cloud, Analytics, Target, and the rest of the Adobe ecosystem. If you're not using at least three or four of those tools, you're paying a premium for a CMS that's slower to develop on, harder to maintain, and more expensive to staff than modern alternatives. We've worked with companies who adopted AEM because a consultant recommended it, only to discover they were using 15% of its capabilities. A well-architected headless CMS with a Next.js frontend would have cost them a fraction of the price and shipped faster.
What do you need to watch out for when leaving AEM?
Three things catch teams off guard. First, asset migration. AEM's DAM often holds thousands of assets with custom metadata, renditions, and smart crops that don't transfer automatically. Second, URL structures. AEM's dispatcher and Sling resource resolution create URL patterns that need careful redirect mapping to preserve SEO value. Third, Adobe contracts. Many AEM agreements include multi-year lock-ins with steep early termination fees. Check your contract terms before you start planning the migration timeline. We always audit all three of these before scoping any AEM migration project.
How much does Kontent.ai cost?
Kontent.ai hides pricing behind a "book a demo" wall, which is never a good sign for budget planning. Based on what we've seen across client engagements, the Developer plan is free but extremely limited (1 user, 2 languages). The Scale plan starts around $1,249/month (billed annually), and Enterprise pricing goes higher depending on API usage, content items, and seats. The real cost is in implementation. Kontent.ai requires upfront developer time to set up content models, build a custom preview pipeline (there's no native live preview), and configure workflows. Budget 4-8 weeks of developer time for initial setup on top of the subscription cost.
Is Kontent.ai worth it compared to other enterprise headless CMS platforms?
Kontent.ai does enterprise content workflows well. The role-based permissions, multi-step approvals, and content scheduling are polished. The API is predictable and well-documented. Where it falls short is flexibility. The content modelling tools are competent but not as powerful as Sanity's, and the lack of a native preview system means your team needs to build and maintain custom preview infrastructure. At similar price points, Contentful offers a larger ecosystem and Sanity offers deeper customisation. We'd recommend Kontent.ai primarily for teams already invested in the Kentico ecosystem or organisations where workflow governance is the top priority over developer experience.
What happens to image URLs when you replace assets in Kontent.ai?
This is a genuine pain point. Every time you replace an image or file in Kontent.ai, the platform generates a completely new URL. That means any hardcoded references, cached versions, or external links to the old asset break instantly. For content teams publishing at scale, this creates a maintenance burden. You need to update every place the old URL was referenced, or accept broken images. Most CMS platforms handle asset replacement by keeping the same URL and invalidating the cache. Kontent.ai's approach feels like an oversight that hasn't been fixed. If you're managing hundreds of assets, this adds real friction to daily editorial work.
What's involved in migrating away from Kontent.ai?
The content extraction itself is clean. Kontent.ai's Delivery API and Management API let you pull content items and assets programmatically. The challenges are schema translation and workflow replication. Kontent.ai's content types map to their own structure, and converting those to another CMS's schema requires careful field-by-field mapping, especially for linked items and modular content. If you've built custom workflow states and approval chains, those need to be recreated in the target platform. Plan for 6-10 weeks depending on the number of content types, locales, and workflow complexity. The API rate limit of 100 requests per second can also slow down bulk exports for large content libraries.
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