LLM Integration Services for Business
Large language models can transform how your business handles documents, data, and customer communication. I design and build LLM integrations that connect AI directly to your existing systems and workflows.
Book a Free CallWhat Businesses Actually Use LLMs For
Document extraction
Pull structured data from invoices, contracts, forms, and PDFs automatically — no manual copy-paste, no OCR post-processing headaches.
Email triage and drafting
Classify incoming emails by type and urgency, generate draft replies, and route them to the right person — all before a human touches the inbox.
Internal knowledge search
Let your team ask questions in plain language and get answers from your internal documents, wikis, and databases — like a search engine that actually understands context.
Customer support automation
Handle tier-1 queries automatically, escalate complex ones with full context, and maintain a consistent tone across every interaction.
Report and content generation
Generate first-draft reports, summaries, product descriptions, or compliance documents from structured data — reviewed by a human, written by AI.
How It Works
Discovery
We identify the highest-value LLM use cases for your business — where language AI will have the biggest impact on efficiency and output quality.
Architecture
I design the integration — choosing the right model, prompt strategy, and connection points with your existing systems.
Build & Test
I build and test the integration with your real data, iterating until outputs meet your quality and reliability bar.
Deploy & Monitor
I deploy the integration, train your team, and monitor performance to make sure it keeps delivering value.
What You Get
- Custom LLM integration built for your use case
- Prompt engineering and iterative refinement
- API connections to GPT, Claude, or open-source models
- Integration with your CRM, ERP, or document systems
- Quality evaluation framework and ongoing monitoring
- Team training and full documentation
Data Privacy and Model Choice
For most use cases, GPT-4o or Claude Sonnet offers the best balance of capability and cost. But if your data is sensitive — medical records, financial data, legal documents — I can deploy open-source models (Llama 3, Mistral) on your own servers or private cloud. Your data never leaves your environment, and you're not dependent on any third-party API staying online.
What You Need to Have Ready
- A concrete use case — even a rough description of the problem is enough to start
- Access to the data the LLM will process (sample files, API credentials, or a database connection)
- One person on your team who can act as a subject-matter expert during testing
- Realistic expectations — LLMs are powerful, but they're not magic; I'll tell you honestly what's feasible
Frequently Asked Questions
What is LLM integration?
Connecting a large language model (like GPT or Claude) to your business systems so it can process your data, generate outputs, and help your team — all inside your existing workflows.
Which LLMs do you work with?
I work with OpenAI (GPT-4), Anthropic (Claude), Google (Gemini), and open-source models like Llama. The choice depends on your requirements for accuracy, cost, privacy, and response speed.
Is my data safe?
Yes. I design integrations with data privacy as a baseline, not an afterthought. For sensitive use cases, I can deploy open-source models on your own infrastructure so your data never leaves your environment.
What can LLMs do for my business?
Common uses include document summarisation and extraction, automated email drafting, customer support chatbots, data classification, report generation, and intelligent search across your knowledge base.
Related Services & Resources
Ready to Add LLMs to Your Stack?
Book a free call to talk through how large language models could fit into your workflows.
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