AI Consultancy

LLM deployment: Claude and ChatGPT

LLM deployment is the managed rollout of large language models — like Claude and ChatGPT — across your organisation, done safely and usefully. Alugence handles the whole thing: licences, setup, custom GPTs and assistants built on your data, guardrails, and the training that turns a subscription into real productivity.

What is llm deployment: claude and chatgpt?

LLM deployment is the process of introducing large language models into a business so teams can use them securely and effectively. It covers choosing the right models and licences, configuring them, building custom GPTs or assistants grounded in your own knowledge, setting data and safety guardrails, and training staff. The goal is safe, widespread, productive use — not scattered, risky personal accounts.

How we help

Model & licence selection

The right LLMs (Claude, ChatGPT and others) and licences for your needs.

Custom GPTs & assistants

Assistants built on your data and tone of voice for real workflows.

Guardrails & data safety

Controls over what data goes where, aligned with your governance.

Rollout & training

Structured rollout with hands-on training so adoption sticks.

Our process

  1. Assess

    use cases, licences and data-safety needs.

  2. Configure

    models and build custom GPTs/assistants.

  3. Guardrail

    — set data and safety controls.

  4. Roll out

    across teams.

  5. Train & embed

    for lasting adoption.

Outcomes and benefits

  • LLMs live across your teams, used safely and well.
  • Custom assistants grounded in your own knowledge.
  • Data risk controlled, not left to chance.
  • Measurable productivity, not shelfware.

Who this is for

Organisations rolling out Claude, ChatGPT or custom GPTs to teams and wanting it done securely, consistently and with real adoption — from SMEs to enterprises.

Frequently asked questions

Common questions, answered directly.

Should we use Claude or ChatGPT?

It depends on your use cases, data-safety needs and existing tools — the models have different strengths, and many organisations use more than one. We assess your needs and recommend the right model or mix, then deploy and configure it, rather than pushing a single vendor.

What is a custom GPT?

A custom GPT is a tailored AI assistant configured for a specific purpose and grounded in your own instructions and data — for example, a support assistant that knows your policies, or a research assistant for your team. We design and build custom GPTs and assistants as part of LLM deployment.

How do you keep company data safe with LLMs?

We set clear guardrails: which data can be used, appropriate enterprise licences and settings, access controls, and staff guidance — aligned with your governance and GDPR obligations. This prevents the risk of employees pasting sensitive data into unmanaged personal accounts. See AI governance.

Isn't it enough to just buy licences?

Licences alone rarely deliver value — adoption and safety do. Without configuration, custom assistants, guardrails and training, usage stays low and risk stays high. Managed deployment is what turns the spend into consistent, safe productivity.

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