Applied AI
AI app development: shipping applied AI that survives contact with users
June 2026 · 6 min read
LLM integration, RAG assistants and AI agents inside real products — where they help, where they don't, and how to budget.
What you're actually building
Applied AI works best as a feature inside a product people already use: search that understands intent, support that deflects tickets, summaries that save reading.
A demo takes a week; a dependable feature takes an evaluation set, guardrails, fallbacks and a cost model.
The parts that decide the budget
• Grounding answers in your own content (RAG) so the system stops inventing facts.
• Latency and cost per interaction at real usage volume.
• Evaluation: a scored test set, not vibes, before and after every prompt change.
• Privacy: what leaves your systems, where it is processed, and what is retained.
A realistic first release
Pilot: one high-value use case with an evaluation harness. 6–10 weeks.
Production: integration into the app, monitoring, cost controls and iteration.
How Wve Labs approaches it
Wve Labs is a digital product company founded in 2015, bringing product strategy, design and engineering together. Mobile has been at the heart of Wve for 10+ years and remains one of our deepest areas of expertise, alongside custom software, web platforms and applied AI.
We work with startups, growth companies and established organisations — clients include Sony, Honda, Guardian, Marriott, USC, Maui Jim and California State University. Serious engagements start at $25,000+.
Talk it through with us: business@wvelabs.com or (800) 588-9094.
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