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AI Integration

Add intelligence to what you already have.

You don't need to rebuild to add AI. We integrate LLMs, copilots, and smart features into your existing product, grounded in your data and measured for quality, not bolted on for show.

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Can you sync new orders to our CRM and flag the big ones?
tool: orders.fetch() · crm.upsert()
Done. 38 orders synced, 2 over $5k flagged for review.

What's included

LLM Features & Copilots
RAG & Semantic Search
Chat & Assistants
Model Routing

What we build

In-product copilots and smart suggestions
RAG search over your own documents and data
Support and sales assistants
Summarization, extraction, and classification
Model routing to balance cost and quality

How we work

1

Discovery & scope

We start with a call to understand the problem, the constraints, and what success looks like, then agree a clear scope and timeline.

2

Design & architecture

We map the solution before writing code: the flows, the data, and the architecture, so there are no surprises mid-build.

3

Build & iterate

We ship in short cycles with working software you can see, give feedback on, and course-correct early.

4

Launch & support

We deploy, monitor, and hand over a clean, documented codebase, and stay available for what comes after launch.

What you walk away with

  • AI features integrated into your current stack
  • Retrieval (RAG) grounded in your own data
  • Evaluation so you can trust the output
  • Cost and latency tuned for production

Typical stack

OpenAIAnthropic ClaudeLangChainVector DBs

Related work

AI · Recruiting

AI Interview Platform

An end-to-end hiring engine that screens resumes, ranks candidates, and orchestrates AI-led interviews, deployed on AWS for elastic scale.

Read case study

Frequently asked

Do we need to rebuild our product to add AI?

No. The whole point of integration is adding intelligence to what you already have, without a rewrite.

How do you keep the AI accurate?

We ground responses in your own data with retrieval (RAG) and put evaluation in place so you can measure quality rather than hope for it.

Which models do you use?

Whatever fits the task and budget, we often route between providers like OpenAI and Anthropic to balance cost, speed, and quality.

Can you control cost?

Yes. We tune prompts, caching, and model choice so the feature stays affordable at production volume.

Explore other services

Need ai integration?

Tell us what you're trying to build. We'll scope it with you in a 30-minute call.