#Data.AI.Impact
AI, data & automation that actually work in practice.
We help organizations
implement data platforms,
analytics, and AI solutions
in a structured and
sustainable way.
Why AI fails without structure
Lack of AI Strategy
AI is often deployed without clearly defined KPIs, making measurable business outcomes difficult to achieve.
Directionless Pilots
Pilot projects are started, but lack a clear direction or path to long-term use.
Governance Risks
Missing structures create uncertainty around data usage, data protection, compliance, and responsibilities.
Fragmented Knowledge
Information is spread across systems, making it difficult to access and use effectively.
Low Adoption
AI remains isolated and is not yet part of everyday workflows.
Manual Bottlenecks
Time-consuming processes persist despite clear automation potential.
This is exactly where we come in
Why AI fails without structure
Viele Unternehmen sehen das Potenzial von KI.
Doch ohne eine Use-Case-getriebene Strategie,
die Daten und Integration verbindet, bleibt der
tatsächliche Mehrwert oft aus.
Lack of AI Strategy
AI is often deployed without clearly defined KPIs, making measurable business outcomes difficult to achieve.
Directionless Pilots
Pilot projects are started, but lack a clear direction or path to long-term use.
Governance Risks
Missing structures create uncertainty around data usage, data protection, compliance, and responsibilities.
Fragmented Knowledge
Information is spread across systems, making it difficult to access and use effectively.
Low Adoption
AI remains isolated and is not yet part of everyday workflows.
Manual Bottlenecks
Time-consuming processes persist despite clear automation potential.
This is exactly where we come in
Our Services at a Glance
AI Strategy & Roadmaps
We identify relevant use cases, prioritize initiatives, and define a clear, actionable roadmap for AI and automation. This includes workshops and structured approaches to develop and evaluate use cases.
Data Platforms & Analytics
We integrate data from multiple systems and create a reliable foundation for reporting, analytics, and data-driven decisions.
Process Automation
We automate core business processes using the Microsoft Power Platform, such as approvals, document processing, and reporting. Solutions are designed in a structured way and integrated into existing systems.
AI & Knowledge Systems
We develop AI solutions and enable structured access to internal knowledge, for example through RAG-based systems. In addition, we integrate AI assistants such as Microsoft 365 Copilot, as well as custom solutions based on LLMs.
Why DeepMetrix?
From ideas to working solutions
Many initiatives start with strong
ideas but fail in execution
and integration.
We combine strategy, data, and
technical implementation with the goal
of creating sustainable, reliable,
and operational solutions.
You benefit from:
- End-to-end implementation instead of isolated concepts
- A clear connection between data, processes, and AI
- Solutions integrated into existing systems
- A structured approach with measurable results
The Metrix That Really Matter
These numbers are based on our experience in data-driven projects and form the foundation of our work at DeepMetrix.
Our Approach
We ensure that AI initiatives don’t just start,
but
actually work in daily operations.
Structure instead of isolated solutions
Focus on real use cases
Integration into existing systems
Fast results, built to scale
Use Cases
This is how AI creates tangible value based on structured
data and clearly defined processes:
Automation of Business Processes
Reduction of manual work in areas such as approvals and quotations through structured workflows and AI support.
AI-Driven Document Processing
Automated handling of documents like invoices, contracts, or emails to increase efficiency and reduce errors.
Structured Access to Knowledge and Data
Centralized access to internal knowledge through intelligent systems that deliver relevant information quickly and contextually.
Data-Driven Decision-Making
Use of analytics and forecasting to enable more informed and transparent decisions.
Integration into Existing Systems
Embedding AI solutions into existing data and system landscapes, making them part of daily operations.
What we are building next
DeepMetrix is currently developing solutions that make the use of AI in organizations more secure, transparent, and controllable.
The focus is on approaches that ensure AI operates within structured processes, with clear accountability and verifiable outcomes.
In regulated environments in particular, it becomes critical that AI systems are not only powerful, but also traceable, auditable, and aligned with human oversight.
⇒ More coming soon.