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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 going. Adobe publishes no list prices, so everything is a custom enterprise quote. From contracts we've seen, AEM Sites licensing tends to start around $60,000 per year on its own, and a full AEM as a Cloud Service deployment usually lands in the six figures, often $200,000 or more annually once you factor in usage. Implementation runs another $100,000 to $500,000+, and Adobe support contracts add 15-25% of licensing on top. We've watched companies pay more for their AEM contract than for their entire engineering team's salaries. If that ratio sounds familiar, it's time to rethink the stack.
Can I migrate from AEM to Sanity?
Yes, and it's one of the more common moves we handle. The work is real but tractable. For an enterprise instance, plan for a few weeks to a few months depending on how customised AEM is. The biggest bottleneck is content extraction. AEM's JCR (Java Content Repository) stores everything in a proprietary node structure that needs custom tooling to export cleanly. Custom OSGi bundles, Sling models, and heavy DAM workflows all get rebuilt or replaced, usually with something far simpler. We run a parallel build, standing up Sanity and a modern frontend while AEM stays live, then cut over once content and redirects are validated. Editorial teams keep working throughout.
What are AEM's main limitations?
Cost is the headline, but it isn't the only one. Development is slow because nearly everything routes through Java, OSGi, and Sling, so even small changes need a dedicated dev. Performance degrades the moment you customise the platform. The author UI is dense, and routine content work often still depends on engineers. You're also tied to Adobe-certified partners for setup and upkeep, and contracts tend to carry multi-year lock-ins. The headless side (Content Fragments served over GraphQL, plus the Universal Editor) works, but it's bolted onto a DXP monolith rather than built lean from the start.
Is AEM overkill for most sites?
For most sites, yes. AEM earns its keep when an organisation already lives inside Creative Cloud, Analytics, and Target and needs governance across hundreds of properties. If you're not using several of those Adobe tools, you're paying enterprise rates for a CMS that's slower to build on and more expensive to staff than the alternatives. We've met teams who adopted AEM on a consultant's recommendation, then found they used maybe 15% of it. A Sanity backend with a Next.js frontend would have cost a fraction and shipped faster. Three things to watch if you do leave. DAM assets with custom metadata and renditions don't transfer automatically. Dispatcher and Sling URL patterns need careful redirect mapping to hold SEO value. Contract lock-ins can carry steep early-termination fees.
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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