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AI Integration

AI Integration Service for UK & Canada Businesses

OpenAI, Gemini, and Claude API integration — chatbots, automation workflows, document analysis, and AI-powered features built into your existing product.

OpenAI GPT-4GeminiClaude APILangChainNode.jsPython
13+Years experience
48hrResponse time
FixedScope pricing
30dPost-launch support

AI that actually works for your business

Most AI integration projects fail because they focus on the technology rather than the business problem. I take a different approach — I start with what you need to achieve, identify where AI genuinely adds value, and then build it properly with the right model, prompt engineering, error handling, and cost controls in place. I've integrated AI into SaaS platforms, WhatsApp bots, document processing systems, and customer support tools.

Why choose Inpured for AI Integration?

🤖

LLM integration

OpenAI GPT-4, Gemini, Claude, and open-source models integrated with proper prompt engineering.

📄

Document analysis

PDF extraction, contract analysis, invoice processing, and document Q&A systems.

💬

AI chatbots

Context-aware conversational AI for customer support, lead qualification, and internal tools.

⚙️

Workflow automation

Multi-step AI workflows that process data, make decisions, and trigger actions automatically.

🔍

Semantic search

Vector embeddings and semantic search for knowledge bases and document retrieval.

💰

Cost-optimised

Model selection, caching, and token optimisation to keep AI costs predictable and low.

What's included

  • AI feature integration into your existing product
  • LLM API integration (OpenAI, Gemini, Claude)
  • Custom prompt engineering and system prompts
  • RAG system with vector database (Pinecone / pgvector)
  • Streaming responses for real-time UX
  • Cost monitoring and token optimisation
  • Error handling and fallback logic
  • AI workflow automation
  • Full documentation and handoff
  • 30 days post-launch support

How I work

  1. 01
    Use case audit

    I assess your product and identify where AI genuinely adds value versus where it's unnecessary complexity.

  2. 02
    Model selection

    I recommend the right model and provider based on your requirements, latency needs, and budget.

  3. 03
    Prompt engineering

    I build and test system prompts, few-shot examples, and output formatting for your specific use case.

  4. 04
    Integration & testing

    API integration with proper error handling, retry logic, streaming, and cost monitoring.

  5. 05
    Optimisation & handoff

    Performance testing, cost optimisation, documentation, and team training.

Tech stack

OpenAI GPT-4Gemini ProClaude APILangChainPineconepgvectorPythonNode.jsFastAPIAWS Lambda

Common questions

Which AI model should I use?

Depends on your use case. GPT-4 for complex reasoning, Gemini for multimodal tasks, Claude for document analysis. I'll recommend the right fit after understanding your requirements.

How much does AI API usage cost?

It varies by model and usage volume. I build cost monitoring and token optimisation into every project so you have full visibility and control.

Can you integrate AI into my existing product?

Yes — this is my speciality. I assess your existing architecture and integrate AI features without disrupting what already works.

What is RAG and do I need it?

RAG (Retrieval-Augmented Generation) lets AI answer questions from your own documents or knowledge base. If you have internal data you want AI to reason over, you need it.

Are you available for UK and Canadian businesses?

Yes — I work with UK and Canadian clients regularly and can accommodate your time zone for calls and updates.

Ready to integrate AI?

Free discovery call · Fixed pricing · Available for UK & Canada projects