The only instant answers solution purpose-built for revenue teams

Docket integrates with over a 100 data sources to unify sales information and keep answers relevant, recent, and resonant. In the off chance that you’re using a product for which Docket does not have an out-of-the-box integration, our team can work with you to leverage Docket's API for setting up custom integrations.

Docket's platform is designed to integrate various information sources into a single, unified knowledge graph. When it encounters conflicting data, it considers several factors to ensure the most accurate and relevant information is provided. Here are the key methods used by Docket to manage conflicting data:

‍Recency: Docket tracks the recency of each data element when it receives and stores it. During retrieval, newer data is weighed more heavily than older data, ensuring that the most up-to-date information is prioritized.

‍Frequency: The system checks how many times each answer has been presented in the past. It assumes that the true answer is likely to be the one presented more frequently, thus giving it higher weight.

‍Authority: Docket allows the designation of subject matter experts (SMEs) within its system, and answers from these trusted individuals are given more weight compared to others. Admins can also verify or edit answers to validate the accuracy of information, and verified answers are preferred over unverified accounts.

‍Explicit Call-Outs: If the system is still not able to verify answer accuracy based on these three criteria, it will explicitly call out the conflict during the answering process. This ensures transparency and allows users to make informed decisions.

These methods collectively help DocketAI to surface the most accurate and reliable information, even when conflicting data is present.

Yes, Docket is built in a conversational way. It allows users to interact with the system through natural language queries, making it intuitive and familiar. Users can ask Docket questions as they would to a coworker, and it will understand the question, find relevant insights, and respond with the best answers and references in the same thread. This conversational approach helps streamline interactions and makes critical information accessible in real-time within the digital channels users use day-to-day.

If you don't like an answer provided by Docket, you have the option to regenerate a new response. Additionally, if the provided answer does not meet your needs, you can rephrase the question using relevant keywords to get a better response.

You can also customize the format of the information by specifying your preference when asking questions. Docket is designed to adapt to your needs to provide the most useful and readable responses.

Docket can learn from images in documents and decks, and even highlights them as references when answering your questions. As for videos, Docket does not ingest videos at the moment, but we’re working on supporting this soon.

Maintaining credibility in sales calls is paramount, and AI, like humans, is not infallible. Docket is programmed to respond with 'I don’t know' when it lacks confidence, a feature that’s intentionally built-in. This approach minimizes the risk of the AI providing unverified information. Furthermore, all of Docket's responses are subject to human review, ensuring that the system is accountable and reliable. 

The AI model is tailored for high precision, targeting nearly 95% accuracy and a maximum hallucination rate of 2.7%. This ensures that the information is highly reliable and minimizes the chances of generating incorrect or misleading information.

At the user level, Docket is easy-to-use and integrates seamlessly with existing collaboration tools such as Slack and Microsoft Teams or can be accessed via web browsers. This allows sellers to get sales-ready responses, critical answers to complex queries, and other essential information directly within the tools they are already using. This ensures that reps can continue to work within their familiar environments without the need to learn a new tool.

Docket collects information from structured and unstructured sources across your company’s cloud ecosystem in just a few hours. The onboarding process for Docket takes less than five hours and does not require extensive tagging or other administrative tasks like many of the other sales enablement tools out there. 

Docket is built to augment sales engineers. Your SEs’ time is expensive, and they shouldn’t have to waste their bandwidth towards repetitive tasks or projects that don’t involve late-stage prospects. Docket allows you to utilize your sales engineers for critical instances and bigger deals, while allowing reps to handle early stages themselves with complete confidence.

Docket can be accessed via Slack, Microsoft Teams, its web app, or the Chrome extension.