Question 1

What is GPT API integration and what can it do for my business?

Accepted Answer

GPT API integration means connecting OpenAI's large language models directly to your business applications — your website, internal tools, CRM, or SaaS product. This enables features like intelligent chat assistants that understand your products, automated document summarisation, AI-powered email drafting, and workflow automation that can understand and act on natural language instructions. Our Manchester team handles the full integration: API setup, prompt engineering, error handling, cost management, and deployment.

Question 2

What is MCP (Model Context Protocol) and why does it matter?

Accepted Answer

Model Context Protocol (MCP) is the new open standard — now under the Linux Foundation — that allows AI models like Claude to interact directly with external tools, databases, and APIs in a structured, secure way. Rather than an AI knowing only what's in its prompt, MCP lets it query your CRM for a customer record, pull data from your database, or trigger actions in your systems in real time. We are one of the first UK agencies offering custom MCP server development, giving your AI agents genuine access to your live business data. This is the architecture that makes truly useful AI agents possible.

Question 3

How much does LLM integration typically cost?

Accepted Answer

Costs depend significantly on the complexity of the integration and your existing infrastructure. A GPT API integration into an existing web app starts from £3,000. RAG systems — which involve vector databases, embedding pipelines, and retrieval tuning — typically run £15,000–£80,000. MCP server development starts from £5,000 for a focused connector, and scales with the number of tools and systems involved. We provide detailed fixed-scope estimates after a scoping call — there are no vague day-rate engagements.

Question 4

How long does an LLM integration project take?

Accepted Answer

A focused GPT API integration into an existing application typically takes 2–6 weeks. RAG systems with multiple data sources, embedding pipelines, and tuned retrieval usually take 6–16 weeks. MCP server development ranges from 3–12 weeks depending on how many systems need connecting. We always start with a brief scoping workshop before committing to a timeline — requirements in this space can vary enormously in hidden complexity.

Question 5

How do you handle data privacy and security?

Accepted Answer

Data privacy is our first concern. For most Manchester and UK enterprise clients, we configure OpenAI's zero-data-retention API tier so no prompts or completions are stored or used for model training. For highly sensitive data (healthcare, legal, financial), we recommend self-hosted open-source models or on-premises LLM deployment — we support both. All integrations are built with least-privilege API access, audit logging, and UK GDPR compliance baked in from the start.

Question 6

Should I use GPT or Claude for my use case?

Accepted Answer

It depends on your requirements. OpenAI's GPT models have the broadest ecosystem support, extensive function-calling capability, and are ideal for most general-purpose applications. Anthropic's Claude excels in safety-critical and long-context scenarios — legal document analysis, healthcare workflows, and compliance-heavy environments where nuanced reasoning and predictable behaviour matter most. We regularly build multi-model systems that route different task types to the most appropriate model. Our recommendation is based on your specific use case, not platform preference.

Question 7

Can you integrate LLMs with our existing systems and databases?

Accepted Answer

Yes — this is a core capability. We integrate with existing CRM platforms (Salesforce, HubSpot), databases (PostgreSQL, MySQL, MongoDB), document stores (SharePoint, Google Drive, S3), and internal APIs. Using RAG architecture and MCP, your AI can access live, accurate information from your systems rather than relying on outdated training data. Our Manchester team has integrated LLMs with dozens of different back-end systems across a wide range of UK businesses.

LLM Integration That Powers Your App

MCP Server Development

LLM Integration Services

GPT API Integration

Claude API Integration

MCP Server Development

RAG System Development

AI-Powered Semantic Search

LLM Fine-Tuning

Our Technology Stack

LLM Providers

Frameworks

Vector Databases

MCP & Agents

Languages

Infrastructure

Multi-Model Expertise

UK Data Residency

Production-Grade Engineering

LLM Integration FAQs

Integrate AI Into Your Manchester Business