Summarise
Long documents, threads and transcripts become the key points, decisions and actions — in seconds, not an afternoon.
LLM integration
Language intelligence, wired through your whole business.
AnotherAgent builds custom AI agents for whatever your business needs — and LLM integration is one of the most powerful ways in. It turns a frontier model into working capability that reads, writes, extracts and answers right across your operation: not a chatbot in the corner, but an intelligence layer built into the work itself, running on infrastructure you own. Start with one job, then shape it to anything.
LLM integration, defined
LLM integration is the work of connecting a large language model to your real tasks, tools and data — so it reliably reads, writes, extracts and answers within your business, rather than sitting in a generic chat window. It is one of the ways AnotherAgent builds a custom AI agent around whatever you need done: pointed at the right job and grounded in your material, the model becomes a dependable part of a workflow, with a person approving anything consequential.
What it does
What a large language model does here.
A large language model is good at language: understanding it, producing it, and turning messy text into something structured. Pointed at one job and grounded in your material, that turns into real work — and the jobs below are examples of the shape, not the limits. If your business needs it, we can build an agent for it.
Extract
Invoices, contracts and forms become clean, structured fields you can drop straight into the systems you run.
Draft
Bullet points and context become a first-draft email, reply or document in your tone, ready for a quick edit.
Answer from your documents
Your own files and knowledge become grounded answers that cite the source — not confident guesses.
Classify & route
Incoming messages, tickets or documents get read, sorted, tagged and sent the right way, consistently.
Translate & rewrite
Any text is re-levelled, re-toned or translated — keeping meaning and house style intact across the board.
These are illustrations of the shape, not a fixed menu — AnotherAgent builds custom AI agents for whatever a business needs, and an agent is built around whatever language work yours actually repeats. For pattern and number work like scoring or anomaly detection, an LLM is often paired with machine learning; see the full range across our use cases.
How we integrate it
From a public model to your reliable agent.
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We find the work worth automating
The task that repeats fifty times a week, or the involved one that quietly eats whole afternoons. We start where the time goes.
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We ground it in your data
The model works from your documents and context through retrieval, so answers are specific and verifiable — not generic. This is the difference that makes an LLM trustworthy at work.
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We keep a person in the loop
For anything consequential, the agent proposes and you approve. Judgement stays with you; the grind goes to the agent.
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We deploy on infrastructure you own
Your own cloud account, or a private on-premise appliance. You own the agent outright — no per-seat platform to rent.
Which model
The right model for the job — and where it runs.
We are not tied to one provider. We choose the model that fits the task and your privacy needs, and the choice decides where your data goes.
Frontier cloud models
The standard option
The strongest general models — such as Claude — for the hardest reading and writing. Fast to deploy in your own cloud account and reachable through a secure login.
The specific text sent to the model does leave, under terms where it isn't used for training and is only briefly retained.
Local, open models
The private option
A capable open model running on a device on your premises, so nothing leaves the building at all. A predictable running cost, and a natural fit for sensitive or regulated work.
Security & data
Private by default, not as an add-on.
- Your infrastructure
- Agents run on a server in your own account or an appliance on your premises — never on shared servers, never on someone else's platform.
- Behind a secure login
- Access is over an encrypted connection, and the deployment is never listed or indexed.
- Not used for training
- Cloud model terms forbid training on your data and retain it only briefly; the on-premise option keeps everything in-house.
- A person approves
- Consequential actions wait at a human approval gate. The agent proposes; you decide.
Questions
Straight answers.
What does LLM integration mean?
LLM integration is the work of connecting a large language model to your real tasks, tools and data, so it reliably reads, writes, extracts and answers within your business rather than sitting in a generic chat window. Done well, the model becomes a dependable part of a workflow, with a person approving anything consequential.
Which large language models do you use?
We pick the model that fits the job. For the hardest reading and writing we use strong frontier cloud models such as Claude. Where data must never leave your premises, we run a capable open model locally on an on-premise appliance. Either way the agent is built and tuned around your specific task.
Can an LLM work with my own documents and data?
Yes. We ground the model in your own files, knowledge and context using retrieval, so it answers from your material and can point to the source — rather than guessing from general training. This is what makes answers specific and verifiable instead of generic.
Is my data safe when an LLM is involved?
Agents run on infrastructure you own, behind a secure login over an encrypted connection, and are never listed or indexed. With a frontier cloud model the specific text sent does leave, under terms where it isn't used for training and is only briefly retained. With the private on-premise option running a local model, nothing leaves the building at all.
How is this different from just using ChatGPT?
A public chatbot is a blank box you prompt by hand each time. An integrated agent is tuned to one job, grounded in your data, wired into your workflow, and owned by you — so from your side it is one link, one button, one reliable result, with a person approving anything that matters.
Do I need to be technical to use it?
No. From your side it is a single web page: paste or upload, click one button, get a result. There is no editor, no server to manage and nothing to learn. We handle everything technical.
Talk to us
Tell us what you'd like an LLM to take off your plate.
Whatever you need built, start here. Send a few details and we'll set up a short call to scope it and give you a tailored quote. No obligation, no sales script.
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