Why Organizations Need to Develop Their Own AI
Today, artificial intelligence (AI) models such as ChatGPT, Gemini, and Claude play a significant role in enhancing organizational capabilities and operational efficiency across all industries, while also creating new business opportunities. However, adopting AI within an organization requires careful consideration of several factors, including specific use cases, cost, data security, and technology suitability. As a result, many organizations choose to develop their own AI solutions tailored to their unique needs. The level of AI development can vary, with costs depending on requirements. For example, some organizations have strict data security policies that prevent data from leaving a controlled environment; others require AI systems that integrate seamlessly with internal platforms; while some face high usage volumes that make pay-per-use cloud AI services costly. Organizations can begin developing their own AI by setting clear objectives, starting with specific use cases—such as using AI as a coding assistant for software developers or implementing systems that summarize existing business reports within the organization.
MFEC and Enterprise AI Development
MFEC is placing strong emphasis on developing AI technology within the organization, with the goal of fully integrating AI into internal workflows in the near future to enhance efficiency and create competitive advantages. Currently, MFEC is developing and piloting various AI solutions to help employees become familiar with and effectively leverage AI technology to its full potential.
AI-Lab, MFEC’s central hub for AI research and development, plays a key role in exploring and tracking advancements in AI technology. The expert team is focused on developing AI solutions tailored to organizational needs while creating innovations that address both current and future challenges. AI-Lab also provides end-to-end services—from organizational readiness assessment and strategic planning to customized AI solution design for specific industries. As organizations become more AI-ready, MFEC plans to expand its AI services to other companies, supporting businesses across industries in preparing for comprehensive AI adoption.
AI Lab : Innovation for Enterprises
MFEC is firmly committed to integrating AI into its organization. AI-Lab has already developed and tested multiple AI solutions aimed at improving operational efficiency, reducing repetitive workloads, and enabling employees to focus on higher-value decision-making. MFEC’s goal is to embed AI into its core systems in the near future, while also enhancing these solutions to serve external organizations. Current AI solutions include:
1. MFEC Brain
MFEC Brain is an agentic AI software that connects data from multiple sources, including documents and APIs from other systems. It empowers connected data with AI capabilities, serving as an intelligent assistant for searching, answering questions, and analyzing information to deliver results tailored to user needs.
- Internal FAQ creation, such as answering questions about remaining leave days, employee benefits, or document submission processes
- Secure and flexible data management, with user access controls based on departments to ensure privacy and data security
- Flexible LLM options, supporting OpenAI, Azure, Gemini, and more, allowing organizations to select the most suitable technology Support for open-source LLMs and OCR, enabling on-premise processing within the organization’s infrastructure to enhance security and reduce data leakage risks
Current MFEC Brain products that enhance internal productivity include :
- Meeting Room Assistant – An intelligent system for checking availability and booking meeting rooms efficiently, reducing complexity and time spent on reservations
- New Employee Chatbot Guide – A digital assistant designed to help new employees onboard quickly by providing key information such as workflows, document submission procedures, and important workplace locations
2. DocAI : Intelligent Document Management Assistant
For organizations handling large volumes of documents, DocAI extracts data from documents such as utility bills, receipts, and job applications, then processes and stores the information in structured formats. By combining OCR (Optical Character Recognition), LLMs, and Machine Learning, DocAI significantly reduces time and costs associated with document processing, improves accuracy, and streamlines large-scale data entry workflows.
3. AI Chatbot Assistant: Enterprise Knowledge Assistant
MFEC’s AI Chatbot Assistant provides employees with a versatile tool that enables access to multiple leading LLMs. Its purpose is to enhance convenience and speed in daily operations, reduce routine task time, and improve overall productivity. Additional benefits include: Cost reduction compared to individual LLM subscriptions Lower risk of internal data leakage Centralized usage tracking, including both detailed interaction data and statistical insights into common employee queries and preferred usage patterns
Summary
Summary In today’s digital era, where technology is critical to organizational success, developing AI solutions tailored to specific organizational needs has become a key strategy for improving efficiency, reducing long-term costs, and strengthening data security. MFEC has therefore placed strong emphasis on AI development through AI-Lab, which researches and delivers advanced AI solutions such as MFEC Brain, DocAI, and MFEC Chatbot. MFEC’s long-term vision is to fully enable AI adoption within the organization while expanding AI services to other companies—supporting a sustainable digital transformation across industries in the future.
References
Reduce your workload with MFEC Brain
Get ready before having your own AI
