AI chatbot for internal knowledge

Eigenmind offers businesses a platform to interact with your company's knowledge through search and chat

CUSTOMER

Eigenmind

SECTOR

AI data solution

webSITE

https://www.eigenmind.ai

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FOCUS

Generative AI

·

Productivity

Prozess

01

Research &
Interviews

We analysed market needs, customer problems and developed a business model.

02

Feature scope
& wireframes

Defining high-priority functions in collaboration with stakeholders and creating wireframes

03

MVP design
& development

Design of a user-friendly interface, and development of the backend.

04

Entwicklung & Markteinführung

Introduction of the MVPs with pilot customers whose feedback was used for product refinement and function validation.

ProCess

01

Recherche &
Business Model

Wir analysierten Marktbedürfnisse, Kundenprobleme und entwickelten ein Geschäftsmodell.

02

Feature Scope
& Wireframes

Definition von High-Priority Funktionen in Zusammenarbeit mit Stakeholdern und Erstellung von Wireframes

03

MVP Design
& Entwicklung

Design einer benutzerfreundlichen Oberfläche, und Entwicklung des Backends.

04

Rollout
& Kundenfeedback

Einführung des MVPs mit Pilotkunden, deren Feedback zur Produktverfeinerung und Funktionsvalidierung genutzt wurde.

ProCESS

01

Initial research

User and stakeholder research through the use of personas, user journey maps, and interviews.

02

Business modeling

Definition of value creation, business model and planning.

03

Scope & prototyping

Defining the feature set for the MVP, specifying the functionality, and collecting feedback

04

Technical feasibility

Technical feasibility, cost assessment and implementation planning

PROCESS

01

User interviews

Conducting interviews with experts to identify pain points in manual workflows

02

Prototyping

Design of the first prototypes to validate the concept

03

Usability testing

Conducting interviews to collect feedback and identify issues

04

Implementation

Develop an MVP and publish it for the first user to collect feedback

Challenges

Over the years, many companies have developed knowledge and data silos within their systems and among employees. As workplace demands grow and organizational complexity increases, it becomes essential to ensure company knowledge is accessible and integrated holistically. This approach not only improves operational efficiency but also safeguards valuable expertise from being lost due to employee turnover.
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✕ Data Governance and Compliance

SMEs in Germany and Europe face significant hurdles in adopting AI due to data leaks, non-compliance with the GDPR and dependence on large technology providers. Existing solutions on the market did not adequately address these concerns.

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✕ Fragmented corporate knowledge

In many companies information is distributed in silos, making access difficult and reducing productivity.

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✕ Complexity of AI integration

Implementing AI solutions can be resource-intensive and costly.

Solution

Our team has built an intelligent chatbot system for internal knowledge management. The software provides answers to all work-related questions via a simple and intuitive user interface.

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‍✓ Knowledge Management and Search Intelligence

Eigenmind enables companies to consolidate their fragmented knowledge databases and make them accessible through AI-powered tools.

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✓ Data Protection and GDPR Compliance

A fully GDPR-compliant platform that operates within EU data spaces.

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✓ Granular access and rights management

Role-based authorization management for various user groups, as well as protection against misuse and unauthorized access.
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✓ Quick set-up and easy operation

An easy-to-implement and easy-to-use platform that doesn't require AI experts or ML engineers.

“Today, we are no longer able to combine complex knowledge within the company. With eigenmind, we can usefully utilize the potential of our data for all employees.”

Simon Müller

CTO @wattx