AI Integration Consulting
We help startups and enterprises integrate AI into their products and workflows. From strategy to production deployment — get working AI features in weeks, not months of hiring and experimenting.
What We Do
Strategy to Production
AI Strategy & Assessment
We evaluate your product, data, and infrastructure to identify the highest-ROI AI opportunities. No generic roadmaps — specific, actionable recommendations tailored to your business.
LLM Integration
Integrate language models into your existing product — from chat interfaces and content generation to document processing and intelligent search. Production-ready, not prototype-quality.
AI Workflow Automation
Build AI-powered workflows that automate complex business processes. Multi-agent orchestration, human-in-the-loop approvals, and integration with your existing tools and APIs.
Results
Proven Impact
4-6wk
Time to first deliverable
5-10x
Throughput improvement
50-70%
Cost vs in-house hiring
8
Production AI agents deployed
Technologies
Our Stack
Case Studies
Real-World Results
Multi-Agent AI Platform
Built a coordinated multi-agent system with LangGraph for autonomous technical assessment workflows.
LangChain Platform Migration
End-to-end migration and integration of AI systems into a production platform, delivering 5-10x throughput improvements.
Dynamic Model Switching
Integrated intelligent model routing into an existing platform, cutting inference costs by 40%.
FAQ
Common Questions
How do you integrate AI into an existing product?
We start with a technical assessment of your current architecture, data, and user workflows. Then we design the AI integration to work within your existing stack — not replace it. We handle the full implementation: API design, model integration, prompt engineering, evaluation, and deployment. Our goal is to ship production AI features that feel native to your product.
How much does AI integration consulting cost?
Our engagements typically range from $30K-75K per project. A focused integration (adding AI to one product feature) starts around $30K. Comprehensive AI strategy + multi-feature implementation is in the $50-75K range. This is 70-80% less than the cost of hiring an in-house AI team ($200K-400K/year).
What AI models and frameworks do you work with?
We are model-agnostic and framework-flexible. We work with OpenAI (GPT-4, GPT-4o), Anthropic (Claude), Google (Gemini), and open-source models. Our primary frameworks are LangChain, LangGraph, and Vercel AI SDK, but we adapt to your existing stack. We help you choose the right model and framework based on your specific requirements — not vendor preferences.
Can you work with our existing engineering team?
Yes. We integrate directly with your team — shared repos, standups, code reviews. We are not a black-box agency. Your engineers learn our approaches as we build, so when the engagement ends, your team can maintain and extend the AI systems independently. Knowledge transfer is built into every engagement.
What is the difference between AI consulting and AI development?
We do both. Some firms only advise — they write reports and recommendations but do not build anything. We deliver production code. Every engagement includes architecture design, implementation, testing, and deployment. You get working AI features, not a PowerPoint deck.
Ready to integrate AI into your product?
Let's discuss your product, your goals, and how AI can deliver measurable impact for your business.