With the introduction of Citizen AI, cplace is pursuing a clear course: artificial intelligence should no longer be viewed in isolation, but understood as an integral part of modern project and portfolio platforms. Citizen AI is more than just a technical feature - it is a concept for the targeted empowerment of specialist departments. Instead of being dependent on central IT departments or external providers, citizen developers - i.e. users with specialist knowledge - can now independently implement individual AI solutions within the cplace platform. The result: more autonomy, shorter implementation cycles and greater responsiveness to operational requirements.
At the same time, with Citizen AI, cplace is addressing a challenge that is already a reality in many companies: the uncontrolled use of AI tools by employees - also known as "Shadow AI". Studies show that
At the heart of cplace Citizen AI is the idea of understanding artificial intelligence not as an external tool, but as a strategic resource within the company platform. Citizen AI extends the low-code environment of cplace with powerful AI functionalities. Users can create their own prompts, configure AI assistants and generate structured data - all within the existing system context.
cplace places particular emphasis on security. Companies not only retain full control over their data, but can also choose their preferred AI provider - for example by integrating their own Azure OpenAI backend. The underlying security architecture is based on enterprise standards: Access controls, role-based authorization management and the "Secure by Choice" principle ensure maximum control over sensitive information.
The implementation of Citizen AI brings tangible benefits - and in the shortest possible time. While conventional AI projects are often associated with long lead times, cplace takes a different approach: with the "Start Smart, Scale Fast" philosophy, the first productive use cases can be implemented within hours. Previous projects have shown that administrative work can be reduced by up to 30% - while at the same time achieving measurable quality improvements in data processing and decision-making.
Successfully implemented use cases include
These use cases impressively demonstrate how Citizen AI not only accelerates project work, but also improves its quality - while remaining fully integrated into existing cplace structures.
A key distinguishing feature of cplace's Citizen AI approach is the question of how artificial intelligence is integrated into solution development. Two complementary usage models can be distinguished, each of which addresses different objectives, role models and organizational requirements.
On the one hand, there is the approach of citizen development with the help of AI: here, AI supports specialist users in the creation of digital content or solutions - for example through automatic text generation, translations or data analysis. AI is used as an assistive tool within existing processes, while the technical implementation and system integration is often carried out by IT or specialized development teams.
This contrasts with the approach of AI solutions through Citizen Development - and this is precisely where cplace Citizen AI focuses. The aim is to enable specialist departments to configure AI-based functionalities independently and integrate them productively into their own workflows - using cplace's low-code environment, but within clearly defined security and governance structures. Citizen AI is therefore not just an AI assistance system, but a platform for users to actively shape intelligent applications themselves - quickly, securely and in line with operational requirements.
Approach |
Citizen development with the help of AI |
AI solutions by citizen developers |
Objective |
Support in the creation of content and applications |
Independent development and integration of AI components |
Role of the AI |
Assistance system for specialist users (e.g. text generation, translation, structuring) |
Building block for individual, configurable applications |
Responsibility |
Departments use AI results, implementation by IT/development |
Departments configure and operate independent AI functionalities |
Governance |
Focus on output quality, integration by central departments |
Decentralized implementation with central governance and security |
Exemplary applications |
Generation of text suggestions, summaries, data analysis |
Development of an AI assistant for risk assessment or target quality analysis |
This differentiation underlines the fact that Citizen AI goes far beyond efficiency: it enables specialist departments to design and implement AI solutions themselves - with full control through established security and control mechanisms.
With the planned AI Companion, cplace is continuing to drive the integration of AI towards widespread use. While Citizen AI is primarily aimed at Citizen Developers, the AI Companion addresses all end users within the platform. A central feature will be the "Ask Your Page" function, which allows users to interact with the content of a cplace page via a chat interface - for example to analyze dashboards, documents or project plans.
The vision is clear: AI should no longer just be a tool for technical experts, but an intuitive, context-sensitive assistant that is accessible to all employees - directly in their daily working environment. At the same time, further functions such as token tracking, analytics functions and no-code integrations are being worked on.
In order to exploit the full potential of Citizen AI, you need partners who understand both the technology and the customer's specialist processes. As a certified cplace partner, we support companies throughout their Citizen AI journey - from strategic consulting and technical implementation to training Citizen Developers.
Our services at a glance:
We don't think of Citizen AI as a stand-alone solution, but as a catalyst for a company-wide AI strategy.
cplace Citizen AI creates the basis for a new form of AI use in companies: secure, integrated, configurable and scalable. The path leads away from uncontrolled "Shadow AI" to a structured, data-secure and user-centered use of generative AI - directly in the platform where daily project work takes place.
Let's work together to identify which use cases deliver real added value, how you can empower your specialist departments in a targeted manner and which technical requirements need to be created.
Arrange a free consultation with our experts now!