AI-Driven Enterprise Search Development

The right information in the hands of the right people is the life-blood of the digital ecosystem. Unfortunately, many teams in enterprises are struggling to find the information they want at the right time. It gets worse when the information is not accurate. 

IDC estimates that inability to locate and retrieve information can cost a single enterprise that employs around 1,000 knowledge workers up to $48,000 per week. This translates to nearly $2.5 million per year.

Our AI-powered enterprise Knowledge Management solution is designed to solve this very problem for organizations that value time and accuracy, including Fortune 500 companies. 

Let’s help you transition to a world of search where the correct answers to queries are just a click away, effortlessly extracted from the vast expanse of your company’s data ecosystem.

What is enterprise search?

Enterprise search simply means to look for and retrieve information that is available from different types of company data.

Such information could be available in places like spreadsheets, documents like PDFs, emails, images, meeting notes, databases, and more.

Enterprise search is especially useful for the typical employee as well as knowledge workers who constantly need various types of information to do their daily job. In essence, it guides users through the wealth of information within an enterprise, regardless of the format or location. 

    The primary goal of enterprise search is to provide employees with rapid access to the correct information they need. 

    This tool has become increasingly vital in today’s data-driven business landscape, where organizations generate and store massive amounts of information. In such an ecosystem, quick access to relevant information is a key driver of operational efficiency.

    What is AI-driven enterprise search?

    AI-powered enterprise search uses artificial intelligence (AI) to improve the relevance and accuracy of enterprise search results. It does this by understanding the intent of the user’s query and then uses AI algorithms to find the most relevant results from vast sources.

    The ability to understand the context, semantics, and user intent behind queries is at the heart of AI-powered enterprise search. 

    Natural Language Processing (NLP) plays a crucial role here. It enables the system to comprehend the meaning of words and phrases, and contextualize them within the broader context. This allows for more nuanced and relevant search results. 

    Features like entity recognition, sentiment analysis, and personalized recommendations help to further refine search outcomes while continuous learning enhances the ability to predict.

    Benefits of AI enterprise search

    Imagine the value of all that information that your company produces, yet it takes so long to find it. In the worst-case scenario, employees may never benefit from this information. Intelligent enterprise search changes all this and delivers the following benefits:

    Access to all the organization’s information, wherever it is

    End users are able to extract answers from information regardless of the format of location, inside or outside the company.

    In the absence of effective access, this information would be worthless because the end user may never succeed in finding it at the right time. Think, for example, of information residing in big data in complex databases that ordinary users have no idea how to operate. Now imagine the ordinary user being able to extract information from such systems with just a simple search from their devices!

    Intelligent enterprise saves time

    According to the IDC, an employee that depends on knowledge to do their work will spend approximately two and a half hours per day searching for the right information. This translates to about 30% of their workday wasted!

    Intelligent enterprise search will save this time, meaning employees will be more productive by completing their tasks faster since they are able to find the information they need faster. This agility is very important in a highly competitive business landscape like what we have today.

    Intelligent enterprise search simplifies access to historical information

    Historical information is one of the most difficult to access in the absence of a really good enterprise search solution. Think of a customer who bought a product some three or five years back. This customer makes a call and the support agent needs to go back to their past communication to see, for example, the specifications of the product version they purchased. How about having to dig through email communication to find out what the customer may have discussed with other agents.

    With intelligent search, all archives are not only a click away but are also well organized. It feels like one is accessing information that was created today. No need to open pages and pages of emails or make calls to other agents to ask them to try and remember what they discussed with the customer.

    Remember, this does not apply to support departments alone. Anyone within the organization may at one point find a need to access information from way back, and a smart enterprise search solution will simplify their work.

    Intelligent enterprise search improves decision-making

    The one important thing that intelligent enterprise search does is that it makes it easy to find useful information, or access the right experts at the right time. Think of what this means in a decision-making setting. It means quick, informed decisions.

    With this, the organization will not only move quickly but also make the right moves. This increases business agility, as decision-makers are not derailed by tons of information that lacks organization and coherence.

    AI-powered enterprise search can accelerate discovery

    A typical AI enterprise search system is designed to understand the context and intent of a query. This level of understanding enables the systems to give not only relevant but also intuitive information that can lead the user to discoveries that unearth new viewpoints. Sometimes, accidental discoveries can drive growth and even lead to new ideas that can redefine the organization’s offerings and give it an unparalleled competitive edge.

    Additionally, a typical AI -powered search system is always learning from the constant interactions with users. The system uses these interactions to refine the algorithms, enabling it to anticipate the needs of the user. Let’s say user Catherine is constantly searching for materials relating to cost reduction. The enterprise search system will eventually learn that Catherine is tasked with finding opportunities where the company can cut down on costs. Over time, the system will offer valuable insights into this line, helping Catherine to discover hidden cost-cutting opportunities.

    Gain the Tricension Advantage of intelligent enterprise search capabilities

    We develop feature-packed AI-powered enterprise search solutions that empower thousands of employees and knowledge workers with instant answers from company data – no misses!

    The features of each solution speak to the pertinent needs of individual users:

    1. Conceptual search

    We know that traditional search methods often rely on keywords. Obviously, this leaves room for ambiguity. Our cutting-edge development overcomes this limitation by comprehending the conceptual context behind queries.

    This means users no longer need to worry about exact keyword matches; instead, the search engine will interpret the essence of a query and deliver results that align with the broader concept in mind. This is possible through automatic identification of relationships between words in the source, such as a database.

    Whether one is exploring intricate project details or delving into abstract ideas, the search experience is not only efficient but also remarkably intuitive.

    2. Powerful filters

    Picture your team effortlessly honing in on critical information using filters that are tailored to specific criteria – whether it’s narrowing down results by time, document type, or contributor.

    Empower your teams with a tool that allows them to refine searches with surgical precision.

    3. Smart prediction

    We equip search systems with advanced machine learning algorithms that analyze historical search patterns, user behavior, and contextual cues. Proactive suggestions are provided before the user even finishes typing.

    This predictive ability presents relevant results before the user can even articulate their search.

    4. Customized, 100%

    Gone are the days of settling for one-size-fits-all search solutions. We develop 100% customized enterprise search that gives users the flexibility to define parameters that align seamlessly with the organizational workflows.

    5. Golden insights from company data, fast

    Informed decision-making is a relentless pursuit. You cannot afford to compromise speed.  But so is the depth of understanding. This is the reason we go the extra mile to ensure that our search solutions merge these imperatives seamlessly. 

    Take advantage of advanced algorithms to sift through vast datasets and distill actionable insights in record time.

    How enterprise search works

    The enterprise search process begins with content. The content is then indexed, classified, and ranked. The ranking is important to ensure that users get the most relevant information, accurate to be precise.

    Let’s run through this process briefly.

    1. Content identification

    This is where it all starts. A typical organization has massive data that is normally created within the company or originates from various external sources.

    Some examples of this data include marketing information, processes, policies, customer histories, competitor analysis, market trends, expert profiles, etc. Normally, this information is spread across the organization. It could be sitting in employees’ computers, emails, and the below popular systems that organizations use:

    • Database Management Systems
    • Enterprise Resource Planning (ERP) solutions
    • Customer Relationship Management (CRM) solutions
    • Content Management Systems (CMSs)
    • Human Resource Management systems
    • Filing systems
    • Hard copy documents
    • Websites
    • Social networks
    • The cloud (both public and private)

    2. Crawling, indexing, and analysis

    This is the heart of enterprise search and this part is executed by the search engine, which is basically what we develop and customize for organizations:

    The enterprise search system starts by crawling all the content from all the sources above, and even more depending on how wide your company’s content is spread. During crawling, the enterprise search engine gathers critical information from various sources.

    Once the enterprise search engine finishes crawling, the next step is indexing. Here, it analyzes the information and enriches it where necessary. This is done through identifying relationships and storing the outcomes in an organized manner. This then forms the basis for accurate and fast retrieval of information by the end users within the company.

    3. Search

    The final step is search. Employees, or rather the end users, request information through the enterprise search interface. When a user requests information, the enterprise search platform goes to the indexed information and picks information that is relevant to the user’s query. It then presents the answer in a format that is convenient for the user, while taking into account the user’s work environment.

    Use cases for AI-driven enterprise search

    1. Knowledge Management: Harness the power of AI to unleash the collective wisdom of your organization. Surface relevant knowledge from disparate sources such as sales, IT, and accounting and use it to empower employees in different departments to make informed decisions with ease
    2. Research and Development: Accelerate the pace of discovery by empowering researchers to uncover hidden patterns within vast datasets swiftly
    3. Virtual Assistants: Elevate your virtual assistants and chatbots to provide not only accurate but also personalized responses to inquiries
    4. Talent Search: Amidst vast pools of job applications, effortlessly identify the ideal candidates who possess the precise skills that HR needs. 
    5. Support Portals: Transform your support portals into AI-powered knowledge hubs where customers find instant answers to their queries.

    Qualities of a great intelligent enterprise search solution

    A good enterprise search system that is powered by AI should have the capability to search seamlessly through all the organization’s information points, including apps. It should have as many connectors as possible, enabling users to find what they need by looking for it in multiple sources.

    To achieve this, the following qualities are critical:

    • Document summary: The search solution should have powerful generative AI capabilities that summarize documents in microseconds to return the most relevant answers.
    • Chat: The system should incorporate a chat function that facilitates follow-up discussions. In other words, it should not be as plain as is the case with traditional enterprise search solutions.
    • Security: Each user should only see information that the organization permits them to see. The enterprise search system must never give sensitive information to the wrong users.
    • Information traceability: This is all about users being able to know with certainty where the answers they get are coming from. The company’s CRM tool, sales emails, support tickets, policy document, minutes of meetings? Whichever the source, the system should give the user a clear reference that they can follow through and reach the source. This enhances transparency and gives confidence to the users that the information they are relying on is credible and not some hallucination!

    AI-driven enterprise search FAQs

    How much time can my organization save with AI-powered search?

    The time savings with AI-powered enterprise search can result in a notable reduction of up to 50% or more. This percentage may vary based on factors such as the size of the dataset and the specific use cases.

    Is data secure with AI-driven enterprise search?

    Yes, data security is a paramount consideration. We employ robust security features to safeguard your organization’s data assets.

    Can AI-driven enterprise search integrate with our existing systems?

    Absolutely. We develop with interoperability in mind to allow seamless connection with a wide range of business tools. Salesforce, Zendesk,  ServiceNow, you name it.

    Tricension Software Development & Tech Advisory