AI has been the trend of 2024 and there is no denying that organisations are looking to AI for one thing: increased efficiency and productivity. Generative AI (GenAI) is hard to ignore. From their ability to streamline workflows and reduce operational costs, it isn’t hard to see why businesses are jumping on the AI bandwagon – with no company wanting to miss out on the technologies potential. As expected with anything new there is some caution about adopting the technology.
There is so much potential with a technology like AI, with organisations searching to streamline processes and boost the quality if their outputs. Employees are often having to spend large amounts of time searching through significant volumes of information across multiple documents. As many are aware, if you have to manually search through a multitude of documents, articles and databases to find specific information it can be hugely time consuming. Enter AI.
AI has often been touted as a potential solution, by inputting the details of their query into a large language model (LLM) users were hoping to utilise the power of AI to provide answers to the questions they need. It’s like having an assistant that can retrieve information faster than humans. Unfortunately, it can’t always be that simple.
The real question is, why aren’t more companies embracing AI yet? The main roadblocks are trust and accuracy. Businesses cannot afford to rely on AI-generated answers that might be incorrect, especially if these decisions are being used to make business decisions. One of the main risks businesses are facing are “hallucinations” an AI tendency to produce information that seems plausible but is completely inaccurate.
It is one thing to get a suggestion from AI it is another thing to act on it, making decisions without verifying where it came from and its accuracy. For businesses, the stakes are high. Data leaks, inaccurate results and a lack of transparency can have serious negative consequences. The need for a system that can not only generate usable answers but can also easily trace where answers came from is causing businesses to explore Retrieval Augmented Generation (RAG).
RAG is a technique that helps AI systems improve the reliability of the facts they have provided. By setting specific parameters with where AI should pull data from, e.g. trusted internal sources organisations can ensure that the answers are based on credible information. The last thing anyone wants is information to have come from a competitor's website or plagiarising someone else’s work.
So, how does M-Files fit into this landscape? They have developed a solution that brings AI’s skills and efficiency into an organisation. AINO is a generative assistant that is built right into the M-Files platform, allowing users to process large amounts of information quickly, get answers to complex questions and reach conclusions faster—all within a business’s secure data vault.
What makes M-Files AINO stand out is it using a companies own data. When you query AINO, it will use the information stored within an organisation, this means you’re getting an answer based on internal resources rather than random online sources. Allowing companies to target specific documents – like contracts from a specific customer ensuring the information is relevant.
Transparency is huge and with AINO, users can get a clear overview of where the answers have come from, building confidence in the results. This means that there is no more worrying about whether the answers are being pulled from an unreliable source.
For knowledge workers, AINO is an absolute game-changer. No longer having to waste time manually searching through multiple documents, they can simply ask AINO a question and get a precise accurate answer within seconds. Whether that is summarising lengthy reports or pinpointing an exact contract clause, AINO will help workers make informed decisions quickly. Saving time and improving productivity.
For an organisation already using M-Files, integrating AINO is straight forward. If you’re using the Business Edition of M-Files, you can start using Aino with individual documents right away. However, to unlock full search capabilities a Semantic Index is required – allowing a business to search their entire document vault.
Security and compliance has been at the forefront of this design, it follows a high standard of data protection and ensures that information remains confidential. As AINO only works with internal data, you can trust that sensitive documentation remains protected.
Tony and Pete, who are closely involved with M-Files, are excited about the business value that AI can potentially add. “Customers are excited by the prospects of AI and eager to embrace it, but they want to do so with confidence,” commented Tony. “They need to know that the information AI generates is accurate and trustworthy. That’s exactly what M-Files Aino provides—transparency and confidence to a business.”
There is no doubt that AI is transforming how businesses are operating, to utilise the technology they need a solution that can offer both confidence and trust. AINO has been designed to do exactly that – driving productivity, improving decision making and ensuring the accuracy of AI-generated information. M-files is making AI safer, reliable and more impactful than ever. Having a tool like AINO can give a business the edge it needs—without compromising on trust or security.
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