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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