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Anand Creations AI
All work
Beekeeper · B2B SaaS · Frontline workforce

Templating engine powering 15% of the platform

Part of AI prototyping & MVPs
Java Kafka Vue Microfrontends Solution engineering
of all assets created · 10M users
The problem

New customers spent weeks setting up their first communication assets, a high-friction onboarding step that delayed time-to-value and bottlenecked the Customer Success team. Every vertical wanted its own templates, but engineering had no leverage to scale.

The approach

Designed a distributed templating engine: a typed template language, a versioned content registry, and a runtime that materialises templates per tenant. Built as Product Owner end-to-end: vision, epic definition, architecture, rollout. Co-owned launches (Seasonal Templates, Re-ignite Revenue, Lifecycle GTM) with Product and Sales so each shipped with instrumentation.

The result

Customer setup time down 90%. The engine now produces 15% of all assets created on the platform, used by 10M+ frontline workers. Became the foundation other product teams build on top of.

How you'd scope this today

A platform-tier system that other teams build on top of is a Build engagement, ideally with a Fractional AI lead tail to keep the architecture coherent as scope expands. Start with an Assessment to define the typed template language and registry contract before any code lands.

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