AI Integration

Add AI to Your Existing Product in 30 Days

95% of AI pilots fail — we help you avoid that. We don't build AI products. We add AI capabilities to YOUR product with ongoing optimization and cost management.

AI Is Not a Product. It's a Feature.

Every SaaS company is asking: "Should we add AI?" The answer is almost always yes—but not the way you think.

AI is not a product. It's a feature that makes your existing product better. Chat summarization, smart search, automated data entry—these are AI features that solve real problems.

We don't build "AI products." We add AI capabilities to the product you already have. Your users don't care about AI. They care about saving time.

Production-Ready, Not Demo-Ready

Most AI integrations fail because they're optimized for demos, not production. A chatbot that works in a Zoom call but fails when users try edge cases. An API that costs $10K/month because nobody optimized the prompts.

We build for production from day one. That means:

  • Error handling: APIs fail. Rate limits hit. We handle it gracefully.
  • Cost optimization: Smart caching, prompt compression, model selection.
  • Monitoring: Track accuracy, latency, and costs in real-time.
  • Iteration: AI is never "done." We plan for ongoing tuning.

AI can transform your product—but only if you build it right.

What We Solve

Smart Automation

Automate repetitive tasks, data processing, and decision-making with AI that actually works in production.

Natural Language Features

Add chat interfaces, search, summarization, and content generation powered by LLMs like GPT-4.

Document Intelligence

Extract data from documents, automate paperwork, and build knowledge bases from unstructured data.

Cost Optimization

We optimize prompts, caching, and model selection to keep AI costs predictable and low.

Reliable Integration

Handle API failures, rate limits, and edge cases that kill most AI implementations.

Privacy & Security

Keep sensitive data secure. On-premise options. SOC2-ready implementations.

Our Process

1

Discovery

Identify the highest-impact AI opportunities in your product that users will actually pay for.

2

Prototype

Build a working proof-of-concept in 2 weeks to validate the approach before full build.

3

Production

Harden the solution for reliability, scale, and security with proper error handling.

4

Optimize

Ongoing improvement of accuracy, speed, and cost through prompt tuning and caching.

Trusted by Founders

★★★★★
"We tried to add AI chat ourselves. Spent 3 months and burned $10K in API costs with terrible accuracy. Kenyx rebuilt it in 3 weeks with 90% cost reduction."
Tom H.
Product Lead, Legal SaaS
★★★★★
"The AI summarization feature Kenyx built became our #1 selling point. Users love it, and it costs us $0.02 per summary thanks to smart caching."
Rachel K.
CEO, Content Platform

Investment

AI integration pricing based on scope and complexity:

Single Feature

$8-15K

One AI-powered feature. Chat, summarization, or automation. 3-4 weeks.

Full Integration

$20-35K

Multiple AI features across your product. 6-8 weeks.

Ongoing

$2-4K/mo

Continued optimization, new features, and cost management.

Frequently Asked Questions

Most teams start with 'let's use AI' instead of 'let's solve this specific problem.' They optimize for demos instead of production. They ignore costs until the invoice hits $10K/month. And they don't plan for the ongoing tuning AI requires. We avoid these traps by starting with a clear use case, building for production from day one, and planning for iteration.
It depends entirely on your use case and volume. A poorly optimized AI feature can cost $1+ per request. A well-optimized one costs $0.01-0.05. We use prompt optimization, caching, and smart model selection (e.g., GPT-4 for quality, GPT-3.5 for speed) to keep costs predictable and low.
Yes. We integrate AI into your existing stack—your database, your APIs, your frontend. We don't build a separate 'AI product.' We add AI capabilities to the product you already have.
AI is probabilistic, not deterministic. It will occasionally give wrong answers. We mitigate this with techniques like prompt engineering, retrieval-augmented generation (RAG), and confidence scoring. For high-stakes scenarios, we build human-in-the-loop workflows where AI assists but doesn't decide.
Yes. For highly sensitive data (healthcare, legal, finance), we can deploy open-source models (Llama, Mistral) on your infrastructure instead of using third-party APIs. This adds cost and complexity but ensures data never leaves your systems.

Ready to Get Started?

Let's talk about your project. No pitch, no pressure — just clarity on your next steps.

We typically respond within 24 hours

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