Systematic Knowledge Discovery for Data-Driven Decisions
The Quantifiable Costs of Hidden Knowledge
Your company possesses a more or less systematically built knowledge base: project documentation, technical analyses, market research data, customer communication. This information exists, but is difficult to find for any specific context.
This has several consequences: Experienced employees invest considerable time searching for already existing information. New employees require longer onboarding periods, with a large portion of this time spent understanding historical decisions and solution approaches. Proven problem solutions are regularly redeveloped, even though documented/similar solutions already exist.
These inefficiencies add up to significant opportunity costs that can be eliminated through systematic knowledge discovery using generative AI.
Easily access your company knowledge
The Intelligent Archive transforms your document collection into an interactive knowledge partner. The solution uses Large Language Models (generative AI) in combination with Retrieval-Augmented Generation for semantic analysis of your texts and answering all your questions.
Concretely, this means: Every document is converted into high-dimensional vector representations that capture thematic relationships and contextual meanings. These vectors enable similarity searches that go far beyond keyword matching and recognize content relationships, even when different terminology is used.
After identifying relevant document sections, the system can also answer complex queries using a Large Language Model (e.g., GPT5, Google Gemini 2.5, or locally hosted open-source LLMs), synthesize information from multiple sources, and generate new solution proposals based on your historical experiences. It is therefore much more than intelligent search, but can also answer more complex questions and perform tasks that previously could only be done manually.
For example, the Intelligent Archive can help create proposals and concepts, or based on documentation of your internal processes (we’re happy to assist with this) automatically perform such processes (partially) for specific requirements (e.g., support planning of a new project).
Your data stays in your company
All your data stays safely within your company (OnPrem, or in your cloud). The data is not used to train the AI, so nobody else can see it.
Request the Non-binding Potential Analysis
or read more below:
Our Implementation Path for Your Company
Phase 1 & 2: Discovery
Phase 1: Non-binding Potential Analysis
A systematic analysis of your data and document landscape to assess the potential for intelligent search and further process automation.
Concrete analysis contents:
- Assessment of your document inventory (size, formats, structure, content)
- Determination of current search times and frequencies (if available)
- Identification of the biggest inefficiencies in information procurement and information processing
- Technical feasibility assessment based on the data and your IT infrastructure
- Evaluation of success probability for your specific scenario and further automations
- Development of possible new scenarios for efficiency improvement
Your quantifiable benefit: After the conversation and possibly further analysis, you have a precise assessment of your optimization potential and can weigh this against implementation costs. We conduct this free of charge.
Request the Non-binding Potential Analysis
Phase 2: Feasibility Study
A comprehensive technical and economic assessment with concrete implementation recommendations.
Deliverables:
- Complete data structure analysis with compatibility assessment
- Cost estimation for all implementation phases
- Detailed project plan with specific milestones and timeframe
- Risk analysis with specific mitigation strategies
- Comparative analysis with alternative solution approaches
Cost: CHF 1,400.-
Money-back guarantee: If our analysis shows that implementation is not economically viable for your company, we will fully refund the costs and still provide you with the analysis.
Our Implementation Path for Your Company
Phase 3 & 4: Implementation
Phase 3: Validating Prototype
Development of a functional system with a strategically selected subset of your documents for empirical validation of the most important assumptions and business cases.
Concrete prototype specifications:
- Integration of a representative part of your documents from various categories
- Fully functional search functionality and “chat” functionality
- Test deployment of the solution for your team
- Iterative adjustments based on your specific workflows
- Comprehensive user training with documented usage scenarios
Strategic significance of this phase: You only invest in full implementation after empirically validating the functionality with your own data and workflows. This phase eliminates the risk of misjudgments regarding practical usability and actual time savings.
Cost: CHF 2,500.- to CHF 10,000.-
Phase 4: Productive Full Implementation
After successful prototype validation, complete system integration with all your knowledge assets follows.
Complete implementation scope:
- Integration of all available documents and data sources
- Optimized user interface based on prototype learnings
- Authentication, Authorization, Security
- Complete workflows for all identified application scenarios (iterative development)
- Systematic training of all users with role-specific training programs
- Comprehensive technical documentation and operating manuals
- Deploy on-premise or in your cloud
- Implementation of monitoring mechanisms
From CHF 10,000.-
Operations and Evolution
Phase 5: Operations
Deployment is performed in Phase 4. Phase 5 includes active monitoring by us and administrative support.
- Technical and professional support for usage
- Emergency response for technical difficulties
From CHF 300.- per month
Phase 6: Continuous Technology Evolution
AI technology evolves rapidly. Cloud infrastructure also requires updates to continue running efficiently. This service ensures your system continuously benefits from technological advances.
Specific service offerings:
- Updates of underlying Large Language Models
- Integration of new AI functionalities as soon as available
- Proactive performance optimization based on usage patterns
- Quarterly Business Reviews with performance analysis and optimization recommendations
From CHF 500.- per month
Phase 7: Strategic Support and Capability Building
Measurable service offerings:
- Analysis of user behavior – based on this:
- User coaching
- Consulting for innovations
- Onboarding programs for new employees
From CHF 500.- per month
Request the Non-binding Potential Analysis
Project development company:
“The system has significantly reduced time spent on information research. Particularly valuable was the systematic use of historical project experiences for new acquisitions, leading to more precise proposals with reduced effort.”
Read the Case Study here: Case Study: The Intelligent Archive
Is the Intelligent Archive for You?
Optimal suitability with the following parameters:
- Extensive document inventory
- Images and videos also possible
- Significant recurring research effort
- Project-based/process-oriented work approach with recurring problem situations
- Longer onboarding period for new employees
- Knowledge bottlenecks with few long-term employees
- Willingness for systematic process optimization
Suboptimal suitability with:
- Fundamental resistance to technological workplace changes
- Very small document inventory
Request the Non-binding Potential Analysis