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AI consulting for Singapore businesses that want AI to do real work

Most businesses have tried a chatbot by now. The harder part is getting AI to work with your own data and your own systems, safely, without sending sensitive information somewhere you cannot control. That is where CARE helps. We are an IT and security provider, so we approach AI the way we approach everything else: start with what the business needs, keep data where it belongs, and make sure it is secure and supported once it is running.

CARE runs its own private large language model (LLM) in-house, and we build private LLMs and AI automation for clients, shaped around their requirements.

What we help with

• Private and self-hosted LLM deployment. An AI model that runs in an environment you control, built around open-source models such as Llama, Qwen or Mistral, or the model you require.
• Microsoft 365 Copilot readiness. A review of permissions and data hygiene so Copilot does not surface files staff should not see, plus licensing and rollout support.
• AI automation. Taking repetitive work, such as answering common questions, drafting documents or sorting requests, and handing it to an AI assistant that works inside your systems.
• AI integration. Connecting AI to the business systems your staff already use, described below.

AI integration and MCP connectors

An AI assistant is far more useful when it can see the right information and act in the right place. The Model Context Protocol (MCP) is an open standard that lets an AI assistant connect safely to your business systems, so it can look things up and take actions with the permissions you allow.

Systems we connect AI to include:

• Microsoft 365, including Outlook, Teams, SharePoint and OneDrive
• WhatsApp
• Google Workspace and Slack
• CRMs, such as Salesforce and HubSpot
• Accounting systems, such as Xero and QuickBooks
• ERP systems
• Databases, such as SQL Server, PostgreSQL and MySQL
• File shares and document stores
• Ticketing systems, such as ServiceNow and Jira
• Your own internal APIs

Where a connection needs custom work, our application development and system integration teams build it.

An example: an AI assistant for a Singapore law firm

For a Singapore law firm, CARE set up an AI assistant connected to Microsoft 365 and WhatsApp.

Why CARE for AI consulting

• We use it ourselves. CARE runs its own private LLM in-house, so our advice comes from running one, not just reading about it.
• Security first. CARE is certified to ISO/IEC 27001:2022, and our IT security team is involved from the start, so access and data handling are planned properly.
• Microsoft Solutions Partner. CARE is a Microsoft Solutions Partner for Digital & App Innovation and for Infrastructure, which matters when AI meets Microsoft 365.
• Supported after go-live. We have looked after Singapore businesses since 2007, so your AI setup is maintained by a team that will still be there.

Frequently asked questions

What does an AI consultant actually do?
We work out where AI can save time or improve service in your business, choose the right approach, build or connect it, and keep it secure and supported afterwards.

What is MCP?
The Model Context Protocol is an open standard that lets an AI assistant connect to your business systems, such as email, files or a CRM, using only the permissions you give it.

Do we need a private LLM, or is ChatGPT for business enough?
It depends on your data. Public AI services suit many everyday tasks. A private LLM makes sense when the information involved is sensitive and you want it to stay in an environment you control.

Which AI models do you work with?
We build with open-source models such as Llama, Qwen and Mistral, or with the model your business requires.

Thinking about where AI fits in your business? Talk to CARE about AI consulting, private LLMs and connecting AI to the systems you already use.