AI Integrations

You already have the software. Now it has AI in it.

Existing AI — OpenAI, Claude, Gemini, or a custom model we've already built you — connected directly into your product, platform, or internal tools. No rebuild required.

AI Integrations
BEST FIT FOR

Who This Service Is For

AI Integrations is for businesses that already have working software and want AI capability inside it, fast — not a from-scratch AI build.

Businesses With an Existing Product or Platform

You have a website, app, or internal tool that works — it just doesn't have AI in it yet
You want a specific feature — smart search, content generation, summarization, recommendations — not a full AI overhaul
Your team doesn't have in-house ML expertise, but the tools to do this already exist
Speed matters more than building something proprietary from zero

Businesses Choosing Between Vendors and Models

You're not sure whether OpenAI, Claude, or Gemini is the right fit — or want a setup that isn't locked to one
API costs and model selection feel like guesswork without someone who's actually shipped this before
You want AI features that talk to your CRM, database, or existing APIs — not sit isolated as a separate tool
PROBLEMS WE SOLVE

Problems We Solve

The integration challenges that stand between working software and AI-powered software.

Software That Works, But Has No AI In It

A functioning product or platform that's missing the AI-powered features your competitors — or your customers — now expect.

Off-the-Shelf AI Tools That Don't Talk to Your Systems

Generic AI features that live in isolation, disconnected from your actual data, CRM, or customer records.

Model and Vendor Selection Feels Like Guesswork

Uncertainty over which AI provider, model, or pricing tier actually fits your use case and budget.

A Full Custom Build Is More Than You Need

Your use case doesn't require training a model from scratch — it needs an existing one, connected properly.

AI Features Bolted On Without Security or Cost Controls

Integrations done without rate limiting, authentication, or cost monitoring — leaving you exposed to runaway API bills or data exposure.

Product Roadmap Wants AI, Team Lacks ML Expertise

A clear business case for AI features, but no one in-house who's actually integrated a language model into production software.

DELIVERABLES

What You Get

Every integration engagement delivers these three groups of outputs.

Assessment & Model Selection

  • Use case mapping & feature scoping
  • Model/provider selection (OpenAI, Claude, Gemini, or open-source)
  • Cost and rate-limit planning

Integration & Development

  • API integration into your existing product or platform
  • Authentication, security, and cost-control implementation
  • Embedded AI features: search, summarization, content generation, recommendations

Testing & Handover

  • Output quality testing against real use cases
  • Monitoring and usage-cost tracking
  • Documentation & handover to your team, or ongoing support
OUR APPROACH

How Your Integration Gets Built

Five phases from use case assessment to production monitoring — structured so the feature works reliably from day one.

Step01

Use Case Assessment

The specific feature or workflow defined — what the AI needs to do, what data it needs access to, and what "good" looks like for this use case.

Step02

Model & Architecture Selection

The right model and provider chosen for the job — balancing accuracy, cost, latency, and how well it fits your existing stack.

Step03

Integration & Development

The AI feature built directly into your existing product — connected to your APIs, database, or CRM, with authentication and cost controls in place.

Step04

Testing & Refinement

Output tested against real inputs and edge cases. Prompts, retrieval, and configuration refined until accuracy holds up under real use.

Step05

Deployment & Monitoring

Shipped into your live product with usage and cost monitoring in place — so performance and spend are visible from day one.

How Your Integration Gets Built

TECH STACK

Tech Stack

Integration tooling chosen for reliability, cost control, and how well it fits your existing stack.

OpenAI API
Claude API
Gemini API
LangChain
Python
Node.js
TypeScript
FastAPI
RREST & GraphQL APIs
WWebhooks
PPinecone
ppgvector
PostgreSQL
Redis
Docker
AWS
Google Cloud
FAQs

Frequently Asked Questions

Find answers to common questions about our services, process, and how we can help your business.

Most feature requests — smart search, content generation, summarization, Q&A over your data — work well with an existing model connected properly. Custom training only makes sense when your problem is genuinely specific to your data in a way an existing model can't handle; we'll tell you honestly which applies.

You’ve Seen What We Build. Now Let’s Build Yours.

Describe the project — what it needs to do, what your business needs from it. You get a clear scope, a fixed price, and a delivery date before you commit to anything.