EventsAI Webinar Series
How to build & deploy AI products without disrupting legacy systems
Rangle ran a webinar series sharing actionable guidance for enterprises looking to leverage and build in-house AI capability.
This event happened on October 2024. We're not running it again, but you're welcome to ask us about hosting one for your team. Get in touch.
In this webinar series, participants learned how to:
- Modernize a front-end tech stack for AI without disrupting legacy systems using the Strangler Fig pattern (including what an AI-ready tech stack looks like).
- Scope and build an AI proof-of-concept in 3-4 weeks to validate feasibility and effectiveness quickly without risking a large-scale failure or disrupting ongoing business operations.
- Generate synthetic data for a core build, anonymize data for testing, and securely deploy an AI solution to production in under 3 weeks.
- Choose the right tools and infrastructure to architect and deploy secure, on-premise AI solutions that a team fully understands and controls, making them easy to explain, trust, and audit.
- Navigate an AI roadmap, build a business case, and demonstrate value to senior leadership.
- Open-source tools for monitoring, controlling, and maintaining an AI solution in production.
- AI-driven open-source alternatives to common third-party SaaS providers and vendors (eg translation services, Salesforce).
Want to learn more?


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The $265 Billion Question Your SaaS Vendors Can't Answer
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Making Your Design System AI-Ready: What We've Learned & FAQ
An FAQ from the Rangle design systems team on making design systems AI-ready—covering documentation strategies, semantic token naming, MCP servers, validation feedback loops, and practical guidance on bridging design systems with AI coding tools like Copilot, Cursor, and Claude.
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What is an Agentic CMS?
Your CMS shouldn't require a vendor's permission to evolve.
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How to Protect Your Design System When Using AI Tools
The difference between AI that scales your design vision and AI that erases it? Whether your design system's implicit rules are documented where AI tools can actually read them. Here's how to teach AI what makes your design unique.
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