In today’s fast-paced business environment, teams often grapple with scattered information across multiple platforms, leading to inefficiencies and missed opportunities. Imagine a sales team member struggling to find the latest product specifications during a client meeting or a support agent sifting through countless documents to resolve a customer issue. These scenarios highlight the critical need for a unified, intelligent search solution.

The Challenge: Disconnected Data Silos & Decentralization of Knowledge

As organizations grow, it becomes increasingly challenging to maintain a unified “platform” that stays up-to-date with the rapid changes occurring across business, product, and development departments. 

Different teams naturally utilize specialized tools to optimize their workflows:

• ‍Sales Teams: Often rely on CRM solutions like Salesforce or Hubspot, along with call recording tools to review customer and prospect interactions.

• ‍Support Teams: Depend on ticketing systems such as Zendesk and Salesforce, customer-facing chat platforms like Intercom, to manage and respond to inquiries and finally documentation tools like Confluence or Gitbook.

• ‍R&D Teams: Primarily use code repositories like GitHub or GitLab and task management tools such as Jira or Monday to manage projects and collaborate effectively.

Additionally, internal communication is typically facilitated through platforms like Slack or Microsoft Teams, and resources are often shared via email. 

While all of these tools enable teams to function efficiently in their own area, they also contribute to the decentralization of knowledge.

Challenges Arising from Decentralization

The extreme decentralization of tools and processes introduces several challenges:

Knowledge Retrieval

Finding the right information at the right time becomes increasingly difficult when knowledge is spread across multiple platforms. This inefficiency can slow down decision-making and problem resolution.

Knowledge Capture

A commonly overlooked yet surprisingly significant issue is the lack of a centralized system where you can update a piece of information and ensure it is automatically propagated to everyone simultaneously. Writing a new Confluence article, sending a Slack message, or emailing everyone individually simply doesn't achieve this.

Knowledge Loss

Critical knowledge, especially tribal knowledge, risks being lost when employees leave or when systems are not properly maintained or integrated, leading to gaps that can hinder long-term organizational growth.

The Consequence: Business Damage

This extreme decentralization and originating issues eventually lead to major business damage:

• Support representatives trying to resolve a customer ticket find themselves on a treasure hunt - looking for any potential leads from within all of the different channels with the Product and R&D teams, harming resolve times and customer satisfaction.
• Sales People & Go-to-market fail to respond to potential customers inquiries as they cannot find information fast enough, potentially leading to lost deals.
• Engineers and developers may waste hours trying to find the owner of a service or a dependency they need to change.
• And much more ..

The Solution: Doti Enterprise AI Platform

Doti AI eliminates these inefficiencies by unifying your company’s data and providing instant, contextual and relevant answers.

With seamless integrations into platforms your teams already use, such as Slack, a web interface, or a Chrome Extension, Doti AI allows you to ask a question and receive an answer tailored to your unique data.

At its core is a sophisticated knowledge graph that identifies related knowledge entities and binds them together, regardless of their originating systems. This ensures a cohesive and connected understanding of your organization’s information, enabling smarter and faster decision-making.

Key Benefits of Doti AI

Knowledge Retrieval

By connecting to all internal tools and systems, Doti provides instant access to relevant information and insights. It consolidates data from multiple sources, whether structured or unstructured, enabling teams to quickly find answers, make informed decisions, and significantly reduce the time spent searching for information.

One of Doti’s unique value propositions lies in its ability to support not only “basic search” across data but also advanced analytical queries and metadata-driven questions. Imagine asking questions like:

• “Find tickets from September to October with customer complaints about log-in issues.”
• “Do I have any Jira tickets assigned to me with the status ‘TO-DO’?”
• “What were the last three messages in our shared Slack channel with Ikea (#ikea-support)?”

Another standout feature of Doti is its availability across multiple, commonly used systems such as Browser Extensions, Slack, and APIs. By deploying Doti across these key platforms, we ensure users can seamlessly access its capabilities with minimal context switching and effort.

Whether you are interacting with your colleagues or even your customers in Slack channels you could tag Doti and find an answer, you are drafting an email and just have to rephrase it quickly to make it more formal or even quickly drafting a new policy document and need to style it properly.

Any of these actions can easily be achieved on the spot using the different Doti interfaces.

Knowledge relevancy & Updating

Any sort of “grounded” AI solution that relies on organizational knowledge will suffer from an inherent bias, as companies move fast and cannot maintain their documentation as updated ever (Coined Garbage-In-Garbage-Out).

A lot of the organizational know-how is shared in non-official and undocumented channels. A short stand-up meeting between two engineers or a simple corridor talk about the product changes.

And even if you were able to always write down everything that happens in the organisation there is this issue of there is no one single centralized system in which I can create an update that would be propagated to everyone at once.

Doti has created a multi-layered solution that relies both on automated processes as well as human interactions to retrieve and produce as accurate and relevant information as possible at all times.

Starting from the concept of Spaces, where you can create accurate “context spaces” for users using the relevant knowledge sources for them only, then supporting custom configurations and prioritizations in each space and finally the “Modify” functionality.

With Modify, you can “finetune” any answer provided by Doti with new information, creating a “Dot” (a small piece of information that is stored with Doti) that is immediately propagated to everyone in the organization. Using this Dot and Modify function, you can rest assured that anyone who asks this or similar questions again will receive the most accurate information. And the best part of that? Users can do that directly in Slack or any other interface they are in.

Ease of Implementation

There is a significant difference between installing and implementing tools. While many companies may promise "seamless integration" and a quick 1-hour installation, some tools can take months to fully implement within an organization, for two main reasons:

• ‍Individual vs Global Implementation - The easiest way to connect to multiple systems while maintaining the permissions set at the source is to have users connect to each system individually. However, this method has a significant drawback: it requires every user in the organization to manually establish connections and grant access to each system, creating a major challenge for large organizations.
• ‍User behaviour and adoption - One of the most surprising challenges in implementing a chat-based solution is actually the opposite of what we might expect: users often don’t know what to ask. Connecting to all of the organization's data and systems and allowing everyone to ask anything and get answers seems so natural and easy to use. However, in reality, telling employees to "ask anything you want" without providing specific use cases or scenarios can overwhelm them, making it difficult for them to use the system effectively. Realizing the importance of these two aspects we have made 2 substantial decisions:

1. We chose the hard way and developed Doti as a global solution where a couple of employees can connect everything together, while still enforcing the same level of permissions at the source.
2. We have developed a solution called "AutoPilot" that enables Doti to monitor employee questions in shared Slack channels. When it identifies a proper answer, it responds directly within the channel in an invisible manner. This approach eliminates the need for users to consciously think about what to ask Doti, as it seamlessly captures their daily questions in the most natural way possible.

By using these two techniques, organizations can implement Doti globally and organically at outstanding rates.

Adaptability

Every company is built differently, which is why we designed our product to be as adaptable and flexible as possible. This allows customers to always choose which data is connected to any flow and which features are used in each.

Whether it's by using the Doti API as a customer-facing application, connected to specific areas in the company's public knowledge spaces with no permissions enforcement at the source, or by using the Doti Slack app in specific channels with connections to Salesforce, Slack, Confluence, and Jira, along with permissions enforcement and prioritization control – or even both options together.

This flexible design enables us to create tailored solutions that meet the unique needs of each company.

Enhancing Collaboration and Efficiency

With Doti AI, your teams can access the information they need when they need it, breaking down data silos and fostering better collaboration. By improving response times and providing real-time access to contextual information, Doti AI drives efficiency across sales, customer service, and operations.

Built with Data Privacy in Mind

Data security is at the core of Doti AI. With SOC 2 Type II certification, end-to-end encryption, and granular access controls, you can trust that your sensitive company data remains protected.

To learn more about our security efforts, have a look at our recent blog of “Security & Privacy in the world of Enterprise AI”

Conclusion

In a world where information is the backbone of business success, Doti AI empowers teams to work smarter and faster. By integrating Doti AI into your workflows, you can streamline operations, improve customer satisfaction, and make impactful decisions with confidence.

Ready to Transform Your Team’s Productivity?

Try Doti AI today and discover how AI-powered search can drive your team’s business progress.