AI Development

LLM Integration

Large language model capability engineered into your existing software: search, summarisation, drafting and classification, securely in production.

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Large language models are the most significant new capability to arrive in business software in a decade, but a model on its own is not a product. The value comes from integration: connecting a model to your data, your workflows and your users, inside software that behaves reliably.

That integration work is exactly what Next2Software does.

From capability to feature

We build LLM-powered features into web platforms, mobile applications, CRMs and ERPs, and internal tools:

Ask-your-data search: natural-language answers drawn from your documents, tickets and databases, with sources cited.
Summarisation: long reports, threads and case histories condensed to what matters.
Drafting: first drafts of emails, quotes, reports and responses in your house style, for a human to approve.
Classification & extraction: incoming documents and messages understood, categorised and turned into structured data for your systems.

Engineering makes the difference

Anyone can call a model API. Making it dependable is the hard part, and it’s where our software engineering background shows: evaluation suites that measure quality before and after every change, retrieval pipelines that keep answers grounded in your content, fallbacks and rate limiting for resilience, and monitoring in production through our 24×7 synthetic monitoring.

We stay model-agnostic, whether that’s Anthropic, OpenAI or models hosted through Microsoft Azure, so you get the right fit for capability, cost and data residency, and a clean path to swap models as the landscape moves.

Start where the value is

The best first LLM feature is usually the one closest to an existing pain: the search nobody trusts, the inbox nobody can keep up with, the reports that eat a day a week. We’ll help you find it, prove it and ship it. Talk to us about your product.

The benefits

The benefits of LLM Integration

What you gain when llm integration is delivered by Next2Software.

Model-agnostic

Anthropic, OpenAI or Azure-hosted models: we choose what fits your use case, budget and data requirements, and keep you portable.

Grounded in your data

Retrieval-augmented generation connects models to your documents and systems, so answers reflect your business, not the open internet.

Production engineering

Evaluation, testing, fallbacks, rate limiting and cost controls: the unglamorous parts that make LLM features reliable.

Security designed in

Clear data boundaries, prompt-injection defences and access controls, aligned to your compliance obligations.

Want AI features in your product, not a demo?

We take LLM features from promising prototype to dependable production, inside the software you already run.

Speak to an Expert 0330 175 5317

FAQs

Frequently asked questions

The common wins are: intelligent search and question-answering over your documents and data, summarisation of long content, drafting of emails, reports and responses, classification and routing of incoming work, and data extraction from unstructured sources. The best use case depends on where your team spends time reading, writing or searching.

Almost never. Modern foundation models combined with retrieval over your own content (RAG) cover the vast majority of business use cases without any model training. That keeps costs down and avoids tying your data up in a bespoke model.

We architect a clear boundary around what leaves your systems: data minimisation in prompts, provider agreements that exclude training on your data, encryption in transit and at rest, and access controls on who can use which capability. Where needed we deploy through Azure for UK/EU data residency.

By engineering, not hoping: grounding answers in retrieved source material with citations, constraining outputs to validated formats, adding automated evaluation suites, and routing low-confidence cases to humans. LLM features should fail safe, and ours are built to.

Usage-based model pricing means running costs scale with value delivered, and we design with cost controls such as caching, right-sized models per task and usage caps, so there are no surprises. We'll model the expected cost per transaction with you before anything ships.

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Let's build something great.

Tell us what you're trying to achieve and we'll map out the right approach. No jargon, no hard sell.

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