Case Study
View Case StudyTray.ai
Migrating hundreds of thousands of pages, re-platforming and extending for the leading composable AI integration platform
From Uniform to Kontent.ai
We are the Uniform to Kontent.ai migration experts
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Challenges with Uniform
Key pain points
Uniform’s biggest problem is the price of admission. And once you're in, good luck breezing through the learning curve. Teams consistently need workshops, onboarding sessions, and a few existential crises to get comfortable with its orchestration layer.
Because it’s still a relatively young DXP, the ecosystem is thin. You won’t find the deep plugin libraries or community support you get with more established headless tools. Content teams also struggle with their mental model. Especially since the abstraction adds a layer of debugging that feels like fighting a boss battle before publishing a single page, and unless you’re on their higher tiers, expect features and limits that remind you this thing is very much built for enterprises… not anyone trying to stay under budget this decade.
High enterprise pricing barrier
Uniform sits behind an aggressively enterprise paywall, making even basic usage expensive unless you're already swimming in Fortune-500 budgets.
Complex learning curve
Its whole “experience orchestration” model takes time to wrap your head around. Your team won’t be productive on day one, or even week one.
Extensive training requirements
Marketers and developers both need onboarding and workflow retraining, which slows adoption and inflates your implementation cost.
Enterprise-tier feature limitations
A surprising number of essential features only unlock once you upgrade, which is frustrating when the base plan is already pricey.
Preview functionality gaps
Content creators won’t love the limited, indirect preview setup. It’s nowhere near as smooth as modern CMSes with first-class real-time preview.
Integration complexity overhead
Uniform’s abstraction layer adds mental overhead and troubleshooting work when things break, especially if you're stitching together several backend systems.
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
Uniform to Kontent.ai migration FAQs
Answers to the most common questions about Uniform to Kontent.ai migration
How do we migrate away from Uniform?
Uniform is an orchestration layer, not a traditional CMS, so migration means detangling it from the systems it sits on top of. Your actual content likely lives in a separate CMS, DAM, or commerce platform. The Uniform-specific parts, including composition layouts, personalisation rules, and A/B test configurations, need to be rebuilt in your target platform or replaced with dedicated tools. We typically spend 2 to 4 weeks on Uniform-specific teardown, on top of whatever migration the underlying content sources require.
Why do teams leave Uniform?
The price-to-value ratio is the most common complaint. Uniform's enterprise pricing is steep, and teams find they're paying premium rates for an abstraction layer that adds complexity rather than removing it. The learning curve is real. Teams consistently need weeks of onboarding to become productive, and the orchestration model introduces debugging overhead that frustrates both developers and content editors. When the contract comes up for renewal, many teams conclude they'd be better served by a simpler architecture.
Do we actually need a DXP like Uniform?
Probably not. We've worked with teams that adopted Uniform because they were managing content across 4 or 5 different systems and wanted a single editing interface. In practice, most of those teams would have been better off consolidating into one strong headless CMS and using it as the single source of truth. The "composable DXP" pitch sounds good in a sales deck, but it often means you're paying enterprise prices to glue together tools that could be replaced by a cleaner architecture. We're happy to audit your stack and give you an honest answer.
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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