AppSavvy, a boutique software agency founded by former Airdev engineers, has launched an AI Transformation practice aimed at helping established businesses on no-code platforms like Bubble add AI capabilities without rebuilding their products from scratch. The launch follows the agency's work as the primary development partner for Ohana Subleasing Co., a Stripe-featured marketplace that AppSavvy expects to process more than $60 million in payment volume in 2026, up threefold from the prior year.
The agency's premise is straightforward: many fast-growing digital businesses were built on no-code tools that helped them reach product-market fit, but now need senior engineering judgment to scale, secure, and extend with AI. Rather than pitching a full platform migration on day one, AppSavvy starts with an audit of where a client's existing Bubble, Canvas, or code-based product is losing time, money, or customers, then maps a phased path toward AI-powered features and, where appropriate, a migration to a modern code stack.
Learning from Ohana's growth
Ohana Subleasing Co., a marketplace for short-term and sublease housing, has scaled from a single founder's Bubble app to a business that processed tens of millions of dollars a month at its peak, according to figures in its Stripe customer case study. AppSavvy has been Ohana's primary engineering partner throughout that growth, handling multi-currency Stripe Connect payments, platform performance, and security as transaction volume climbed.
"Most agencies that show up and tell a founder to rip out their no-code app and start over are solving their own problem, not the client's," said Will Driscoll, founder of AppSavvy. "We've shipped and supported more than 50 client apps across Bubble, Canvas and custom code, and the pattern we keep seeing is that the fastest way to get AI into a product is to build on what's already working, not throw it away. That's the lesson Ohana taught us, and it's the basis for how we run every engagement now."
Driscoll worked as a developer at Ohana before AppSavvy became its exclusive engineering team. The agency positions itself as a smaller, faster alternative to large no-code development firms, offering senior-level attention without enterprise agency overhead.
What the practice covers
AppSavvy's AI Transformation practice sits alongside its existing services, which include rapid AI product development for new ventures, Bubble-to-code migration for teams that have outgrown the no-code ceiling, and rescue and extension work for businesses running on Canvas apps. The agency is based in Singapore and works with clients across the United States, United Kingdom, and Asia Pacific.
For product teams evaluating similar moves, the practical takeaway is the audit-first approach: identify where the current product actually loses time or revenue before deciding what to rebuild. That's a discipline that applies beyond no-code platforms - it's the same judgment call any team faces when deciding whether to bolt AI onto an existing system or start fresh. Teams exploring this territory may find AI for Product Development resources useful for framing the options, and the AI Learning Path for Product Managers covers similar ground from a product strategy angle.
Why this matters for product development professionals
The Ohana case offers a concrete data point: a no-code marketplace scaled to eight-figure monthly volume without a rewrite, and AI features are being layered onto that foundation now. For product teams, the lesson is that the no-code ceiling is higher than many assume, and the decision to migrate should follow evidence of real constraints, not vendor pressure. AppSavvy's model suggests that the bottleneck for AI adoption in existing products is rarely the underlying platform - it's the engineering judgment to know what to add, what to fix, and what to leave alone.
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