Add AI to Your Existing Product Without Rewriting It
Most teams do not need a new AI app — they need AI inside the product they already have. We integrate language, vision, and speech models into your existing stack so AI shows up where users already are.
Crafted by UnfoldCRO
The Problem
Bolting AI Onto a Live Product Is Where Most Teams Trip
AI Features That Feel Glued On
A 'summarize' button hidden in a settings page is not an AI feature — it is dead UI. Most integrations fail because the AI is not where the user already works.
Architecture That Cannot Scale
Synchronous in-line model calls block the request thread, time out under load, and break under traffic spikes. Production AI needs queues, streaming, and idempotency from day one.
AI Has No Context About Your Data
A model that does not know your customers, your products, or your past conversations is a generic chatbot in a custom skin. Retrieval over your data is the difference between useful and forgettable.
Security Reviews That Block Launch
Sending raw customer data to a third-party model fails most security reviews. Redaction, audit logs, and zero-retention contracts have to be designed in — not retrofitted.
AI Integrated Into the Product, Not Stapled to It
We design AI features that live inside the workflows your users already follow. We wire models into your existing API, queue layer, frontend, and data store with the patterns that survive production traffic and security review.
AI features that fit existing user workflows — not new tabs nobody clicks
Backend integration with proper queueing, streaming, and idempotency
Retrieval over your data so AI answers reference real customer or product context
Redaction layers, audit logs, and zero-retention contracts for security review
Web and mobile front-ends with streaming UI and graceful failure modes
Already Have a Product? Let's Add AI Where It Earns Its Keep.
Book a call. We will audit your product, identify the highest-leverage AI features, and propose a phased integration plan.
What You Get
Your AI-Augmented Product
Backend Integration
Model calls, queues, retries, and streaming wired into your existing backend (Node, Python, Go, Java, Ruby, .NET) with proper observability.
Frontend & Mobile UI
Streaming UIs, optimistic UI patterns, error states, and graceful fallbacks across web and native mobile.
Retrieval Pipeline
Vector store, embeddings, and ranker tied to your existing database so AI features know about your customers and products.
Multi-Model Orchestration
LLMs, vision models, and speech models orchestrated together where the use case demands it.
Security & Compliance Layer
PII redaction, audit logs, role-based access on AI features, and the documentation security review needs.
Telemetry & Cost Dashboards
Per-feature, per-customer telemetry on usage, latency, quality, and cost so product and finance see the same picture.
How It Works
From Roadmap Idea to Live Feature
Workflow Audit
We watch real users in your product. The right place to add AI is not where the design doc says — it is where users currently struggle.
Architecture Design
Where does the model call live, how does it queue, how does it stream, what happens on failure. The architecture decisions that keep you up at 3am — handled before launch.
Prototype & Eval
Working prototype against a golden test set. We measure quality before you commit to the full integration.
Production Integration
Backend, frontend, retrieval, security, observability, and rollout flags all built in the same sprint. No half-shipped features.
Staged Rollout
Behind a flag, watched on real traffic, scaled gradually. Quality and cost dashboards are the gating signal.
Iterate & Expand
Once one AI feature ships and earns its keep, the second one is half the work. We help you compound the win.
Typical results
Results That Speak
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Projects Delivered
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Industries Served
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User Engagement Lift on AI Features
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Weeks to First Production Feature
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Security-Review Pass Rate
0%
Lower Cost via Multi-Model Routing
What Our Clients Say
Testimonials
Rajkumar Venkatachalam
E-Commerce Expert | Conversion & Retention Strategist | Co-Founder of Neidhal.Com, Neidhal.Com
Abhijith Shetty
Founder, Gubbachhi | MICAn | Digit Insurance, McCann, Dentsu, Lowe Lintas, Leo Burnett, Tech Mahindra, Gubbachhi
Surbhi Sarda
SEO Strategist | Guiding Brands for Local & AI Search Ready
Nikita Sharma
Founder | Guide Businesses in Brand Perception & Digital Experience, ICraftAds
Ajay Binani
AI Automation Systems Learner | Author & Speaker on Minimalism, Get You At
Samriddhi Nagdev
Founder - Artcetra Design Studio | Brand Identity Designer, Artcetra Design Studio
The Difference
Why UnfoldCRO?
Product Sense, Not Just Engineering
We pick AI features users actually use. Most teams ship five AI features; one moves the needle. We help you find the one first.
Stack-Agnostic Engineering
We work with your existing backend, frontend, and data store. We do not insist on a rewrite or a vendor we resell.
Security-Review Veterans
We have shipped AI features through SOC 2, HIPAA, and enterprise security reviews. The compliance work is built in, not bolted on.
Measurable Outcomes
Every feature ships with quality, latency, and cost metrics. You can prove it works — and prove it stays working.
Frequently Asked Questions
Ready to Get Started?
Book a discovery call. We will audit your product, scope the highest-leverage AI feature, and ship it within 6 weeks.