Lucy Eliminates Old School Challenges

One of the biggest concerns we hear from brands looking to onboard a knowledge management system is “How labor-intensive will this be for my team?” This is a good question. For most solutions the burden of uploading all the data, tagging the content, and the ongoing management of keeping everything up to date is not trivial. Some have heard about these time-consuming tasks from peers at other organizations. Some have experienced it first-hand with their current system.

Lucy was intentionally designed to solve these old school problems. The biggest difference—automation. Every step of the way, we designed Lucy to remove the time consuming, manual processes of uploading, tagging and curation.

What clients have called “game changing” in comparing Lucy to competitor solutions includes:

AUTOMATED INGESTION: One of Lucy’s key differentiators is that our platform doesn’t require you to upload your data. Instead she interacts with the data on a permission-based level using automated ingestion. There is no need for manual uploads which takes the burden off our users and saves them a tremendous amount of time as a result.

Though other vendors make uploading sound simple and demonstrate a friendly interface for doing so, their clients quickly find that it is an extremely labor-intensive task. It also creates the ongoing issue around how to ensure that new and /or updated information is continually added into the system. Sometimes they even recommend developing “Librarian” roles to manage the flow of data from existing systems into their knowledge portals. This is labor-intensive and it forces clients to move data from the presently secure existing environments into a new environment. All of which adds hidden, and not trivial, costs to clients using their platforms.

Lucy uses automation to effortlessly ensure 100% of the data that should be in the system is. No need to take on the time-consuming burden of moving assets from any of your already-secured internal systems and firewalls, which is especially critical in terms of ensuring compliance with your user-level privacy and security standards. By operating with the data where it natively lives, she ensures users always have access to the most up-to-date information and eliminates the painful uploading process.


AUTOMATED TAGGING: With Lucy, manually entering content tags is unnecessary and obsolete. We do not expect our clients to take on the laborious and meticulous effort of tagging and categorizing content, never mind doing it accurately and consistently across all sources, including third-party subscriptions.
Instead Lucy serves as your enterprise librarian—automatically tagging and categorizing your information assets based on multilayer, filterable metadata. This is an immense time saver for users and makes the on-boarding experience far better than our competitors.

All of your content will be automatically tagged across various levels at the individual answer unit (i.g., every paragraph of each document; each moment of audio/video). This is a unique benefit that allows Lucy to find precise answers.

While other systems provide lists of documents or summarization of large sets of data, Lucy provides a specific answer(s). In response to a natural language question, users are brought to the exact spot within the source the answer lives—for example a chart within a presentation, the precise second in a video where referenced, or the specific paragraph in a multi-page document. With Lucy creating multi-level, filterable tags, it’s simple to manage data assets and find the information you need.

With automatic ingestion and tagging, Lucy eliminates the common, and time consuming, challenges of other systems. Plus, she takes significantly less time than most other knowledge management platforms to deploy. Users get maximum results with minimal effort.

5. What makes Lucy safe and secure_ (1)

 

 

 

How to Evaluate & Implement AI-Powered Knowledge Management

Implementing a new system business-wide can be a daunting task. We developed this guide to provide a process for successful evaluation and implementation of AI-powered knowledge management options.

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