AI Agent & LLM Integration Services

What is AI integration?

AI integration means connecting an AI model to the systems your company already uses, not just opening ChatGPT in a browser. The model gets limited access to specific data and tools, such as searching contracts, reading tickets or updating a CRM record, and works inside your existing processes with clear permissions, logs and approval steps.

This page is for companies looking for artificial intelligence services for internal teams. If you need a chatbot or AI agent that serves customers on your website, see our AI chatbot development service.

What we can build

• Document assistants with RAG. Your team asks questions in everyday language and gets answers from contracts, SOPs, manuals and your knowledge base, with the source documents shown. RAG (retrieval-augmented generation) makes the AI answer from your documents instead of the open internet.
• AI integration with your CRM and ERP. The AI reads customer, stock or transaction data and drafts summaries, quotations or reports.
• AI-powered internal tools. Web apps for your team, for example to summarise meetings, extract data from invoices or classify incoming email.
• AI agents for multi-step tasks. The agent runs several steps in sequence, such as reading a request, looking up data, drafting a response and placing it in an approval queue.
• Model selection and prompt engineering. We choose a model that fits your needs and budget, write its instructions and test the output against real cases from your team.

How an AI integration project runs

• Workflow mapping. We start with the single process that takes the most time and record every system it touches.
• A prototype in a separate environment. The AI is tested on real data in a sandbox, so production systems are not touched.
• Security and permissions. AI access is limited to the data it needs, every action is logged, and steps that change data require staff approval.
• Gradual rollout. Once results are consistently right, safe steps are fully automated and your team is trained to use the system.

Your company data stays yours. At the start of the project we agree which data the AI may access, where it is processed and which model provider fits your internal policies.

How much does AI integration cost?

Prices start from Rp15,000,000 per project for one workflow. The final cost depends on the number of systems to connect, whether those systems already have APIs, the volume and condition of documents for RAG, the number of users, and security requirements such as company sign-in and audit logs.

The price does not include LLM or API usage fees charged by the model provider, cloud or server costs, or third-party software licences. We include an estimate of the monthly costs with the quote.

Frequently asked questions

How is AI integration different from a chatbot?

A chatbot mainly answers customer questions. AI integration places AI inside your internal systems so it can read and write data and do work for your team. The full comparison is in our article on AI agents vs chatbots.

Is our company data safe?

We agree with you which data the AI may access, limit its permissions and log every action. The choice of model provider and where data is processed follows your internal policies.

Which AI models do you use?

We work with models such as GPT and Claude and choose based on output quality, usage cost and the language requirements of your use case.

What if the task only follows fixed rules?

For processes like "when a form comes in, add a row and send an email", plain automation is cheaper and more predictable. See our AI workflow automation service with n8n, Make or Zapier.

If your systems do not have an API yet, our API integration service can be the first step. Ready to put AI to work inside your company? Tell us about the one workflow that takes up most of your team's time through our contact page. Our other services are on the website and application development page.