The way content is created and delivered has been forever transformed by AI. Yet the real question isn’t just how to create content faster, but how to do so while driving real results.
That’s the challenge shaping the future of content management, and the one we’re solving at Hygraph. Our belief is simple: velocity matters most. It’s not about producing more, but about moving with precision, control, and measurable impact.
This vision took center stage at our recent Velocity at Scale keynote, where we unveiled a new era of content management: one where speed, governance, and intelligence converge to help teams deliver meaningful digital experiences faster than ever.
We connected with customers like Ancestry and Vertu Motors, partners such as Intelliact and Datrycs, and introduced new capabilities, including AI Assist, Hygraph MCP, AI Agents, taxonomy, and content variants, all designed to reimagine how teams scale content operations.
Here’s what we learned, launched, and envisioned together.
#What is content velocity?
Content velocity is the speed at which teams can ideate, create, and deliver content that drives business outcomes.
But content velocity goes beyond producing content faster. It is about reducing the gap between idea and impact: how efficiently organizations move from creation to delivery, and how consistently they do so at scale.
#Why does content velocity matter more than ever in 2025 and beyond?
Hygraph was built as a GraphQL-native tool to help developers move faster by connecting content from anywhere to anywhere through a single API. But velocity for developers alone isn’t enough. Marketers and content teams need it too, and the business needs it most of all.
Today, AI is reshaping how we create, structure, and distribute content. The ability to move at speed has become existential. With AI-assisted tools accelerating every stage of production, brands must now go from idea to outcome in days, not months.
The speed of execution becomes everything. How quickly you can go from idea to outcome massively depends on the toolchain and processes you have in place.
Yet many teams find themselves held back by outdated systems and fragmented workflows. Legacy CMS architectures were built for publishing, not for the continuous iteration, personalization, and omnichannel delivery demanded by the AI era. The real obstacle isn’t a lack of ideas, it’s the disconnect between teams and tools. When silos slow collaboration, speed-to-market suffers.
That’s why Hygraph’s vision of velocity at scale emphasizes structured agility: using intelligent automation to accelerate impact while maintaining the governance and precision needed to protect brand integrity.
We call this Content Engineering: the practice of automating and orchestrating complex content lifecycles without losing human oversight. It transforms content management from a linear process into a dynamic system that turns ideas into outcomes with measurable precision.
#Introducing new Hygraph capabilities
We’ve recently launched a series of new capabilities that bring our vision to life. Here’s a sneak peek.
- AI Assist – Supercharge editorial work with AI that helps structure, enrich, and localize content instantly.
- Agents – Deploy intelligent automations that proactively optimize workflows, from SEO to content updates.
- MCP Server – Host custom AI-powered automations directly within Hygraph workflows, combining the flexibility of open AI models with enterprise-level governance and control.
- Variants – Create multiple versions of content within a single entry, eliminating duplication and enabling rapid experimentation.
- Taxonomies – Classify and organize content with hierarchical tags that bring order and consistency at scale.
Together, these innovations define Hygraph’s evolution into an Agentic Content Platform, one that gives teams the tools to drive impact faster while keeping control firmly in their hands.
#Velocity in action: Hygraph’s agentic Content Platform
During the keynote, Dr. Mario Lenz, Hygraph’s Chief Product & Technology Officer, showcased what velocity at scale looks like in action.
Scenario
A global bike brand, Hybike, is launching its first electric mountain bike (e-MTB) line. The marketing team needs to go live globally: on time, localized, compliant, and tailored to different audiences, without slowing engineering down.
The team
- Maya — Marketing lead, responsible for content, landing pages, and audience targeting.
- Carlos — Developer, responsible for performance, reliability, and channel expansion.
- Akiko — Localization lead, responsible for multi-market translations and coordination with legal.
The Old Way
Before Hygraph, content lived in silos: copy sat in documents, specs in spreadsheets, and legal updates in endless email threads. Localizing across markets or managing last-minute changes often turned launches into a chaotic scramble. Each new channel meant starting over. Velocity was impossible.
The new baseline
Now, Hybike runs on Hygraph with a clear content architecture and PIM federation. Product data—battery range, pricing, and components—stays where it belongs, but is instantly accessible through the CMS. This structure gives the team a single source of truth and a foundation for moving fast without breaking things.
1. Product data arrives → instantly usable in CMS
When engineering publishes the new e-MTB to the PIM, Maya opens Hygraph, connects through the PIM connector, and pulls in the Velocity X1 product with a single click. Every field, from specs to pricing, links back to its origin. No duplication, no drift.
The product truth lives in Hygraph, ready for the marketing layer to build on.
2. Enrich with marketing value (AI Assist)
Numbers don’t sell; stories do. Seeing “250 km range,” Maya opens AI Assist to turn that into an on-brand benefit statement. Within seconds, she gets a concise tagline that captures the product's spirit, reviews it, and adds supporting copy—all within a single structured entry.
As a result, compelling messaging is generated where the data lives.
3. Classify once, reuse everywhere (Taxonomy)
Maya tags the Velocity X1 under the Velocity series and relevant product categories. That single classification instantly powers filtered views for editors, navigation menus for users, and automated product groupings on the site.
Taxonomy gives structure that serves both people and systems.
4. Build and refine the landing page (Content Finder, Live Preview, Click-to-Edit)
Using Content Finder, Maya opens the Velocity X1 landing page with Live Preview side-by-side. She edits the “Hungry for Adventure” section directly, adds a new CTA, and sees changes reflected in real time.
For the first time, structured content editing feels visual: fast iterations without sacrificing governance.
5. Personalize by audience (Segments + Variants)
To make the launch relevant for every visitor, Maya defines two audience segments: Commuters and Seniors. Each gets its own variant—city imagery and eco-friendly messaging for commuters, comfort and safety for seniors. She switches between preview views to verify how each audience will experience the page.
One source, many experiences—personalization without duplication.
6. Localize at scale (Workflows + AI Agents)
Global go-live no longer means sleepless nights. Maya adds an Agent step—nicknamed “Tim the Translator”—to the translation workflow. When she sends the page through it, Hygraph automatically generates German and French versions, translating not only the main content but also nested components like hero banners and feature blocks.
Akiko reviews and approves. Automation does the heavy lifting, and humans keep the quality.
7. Extend to a new channel (Mobile app)
After launch, the team wants to introduce a mobile app for loyalty and performance tracking. Instead of rebuilding, Carlos extends the existing schema to include ride history and battery data, reuses the GraphQL queries, and federates third-party data such as charging stations and pricing into the same graph.
A new channel is added without breaking the old one—actual velocity in action.
8. Ship safely (Environments, Schema as Code, Governance)
To protect production, Carlos works in isolated environments: development, staging, and production, promoting schema updates through Schema as Code. Roles and permissions define who can edit what, while audit logs track every change.
Speed is no longer risky; it’s designed safely into the workflow.
9. Open, governed AI (MCP standard)
Hygraph’s adoption of the MCP standard lets teams connect to any AI model—OpenAI, Anthropic, Gemini, Azure, or their own—through one governance layer. Whether marketers use AI Assist in Studio or developers integrate Agents in VS Code, the same permissions, workflows, and brand rules apply.
It’s flexible AI without losing control or context.
Launch day and beyond
The Hybike launch goes live on time, in multiple languages, and tailored to every audience. The mobile app follows seamlessly, using the same data model. Across teams, structure and oversight keep speed from turning into chaos.
What this means
Velocity isn’t about producing more; it’s about making content better, faster, and safer.
With Hygraph, Content Engineering becomes the framework that enables automation, collaboration, and control at scale. AI Assist and the MCP standard push the limits of speed, but governance ensures every result stays on brand.
This is what velocity at scale looks like in practice.
#What’s next: Your front row to velocity
If you missed the live event, don’t worry — you can watch the keynote on demand to see velocity in action.
Ready to experience what’s next for content management?
Explore the new Hygraph features showcased in the demo and sign up or reach out to our team to see how Hygraph can help your organization drive impact from content — faster.
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