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API & AI Integration Services

Connect the software you already use. We develop integrations between business applications, databases, and AI services, starting with the available APIs, permissions, and information that needs to move.

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What the project can include

LLM API Integration

OpenAI and Anthropic Claude wired into your existing web apps, backends, and internal tools through clean, testable interfaces.

Embedded AI Assistants

Assistants added to your current website or product — answering, qualifying leads, and handing off to your team.

RAG Over Your Data

Retrieval pipelines that connect models to your documents, databases, and knowledge bases with citations.

AI Steps in Workflows

AI-powered stages inside existing automations — classification, extraction, drafting, and routing in n8n or application workflows.

Data & Vector Infrastructure

Embeddings, vector search, and the PostgreSQL/Supabase plumbing that grounded AI features depend on.

Guardrails & Monitoring

Plan API key handling, activity records, usage tracking and evaluation around the integration requirements.

Possible applications

Examples of where this service could fit. The final scope depends on your process, information and existing tools.

  • Add an AI assistant to an existing website or web application

  • Summarize, classify, or enrich records inside your CRM

  • Extract document data straight into your ERP or database

  • AI-assisted search across your product or knowledge base

  • Auto-drafted replies inside your existing support inbox

  • AI decision steps inside automations you already run

Delivery approach, process and technologies

Explore how the work is planned, built and delivered.View detailsHide details

Our approach

Fits your existing stack

We work inside your current React, Node.js, or Python codebase and infrastructure — integration, not a rebuild.

Safe, staged rollout

New AI capabilities ship behind feature flags with human review first, then graduate to automation as quality is proven.

Measured, not assumed

Logging and evaluation are built in, so you can see answer quality, latency, and cost — and improve them over time.

Project stages

  1. Audit

    We review your current software, data, and workflows to find where AI genuinely helps.

  2. Integration Plan

    A concrete design: models, data flow, interfaces, security, and rollout strategy.

  3. Implement & Test

    We build the integration inside your stack, with tests and human-in-the-loop review.

  4. Deploy & Monitor

    Production deployment with logging, cost controls, and ongoing quality checks.

Technology options

Selected around your requirements and existing systems.

  • OpenAI
  • Anthropic Claude
  • LangChain
  • REST & Webhook APIs
  • n8n
  • Python
  • FastAPI
  • Node.js
  • PostgreSQL
  • Supabase
  • AWS

Common questions

Practical details to consider when planning this service for your business.

Often, an API integration can add a feature to an existing application. We first review the code, interfaces, and access available to determine what changes are needed.

Find the service that matches the next part of your requirements.

AI DevelopmentAI features within your software.RAG DevelopmentSearch and answers from approved documents.AI Chatbot DevelopmentBusiness information and enquiry assistants.AI AutomationRepeatable tasks, approvals and system updates.Business SoftwareBusiness applications, portals and internal tools.
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Want AI inside the software you already use?

Tell us about your requirements, existing tools, and priorities. We can then discuss the scope, timing, and cost.

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