Making Agentic AI Productive
From strategic consulting to system integration: We help companies implement Agentic AI where it accelerates processes, reduces manual work, and creates measurable business value.
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Many AI pilots exist. Productive impact rarely materializes on its own.
Without clear business cases, reliable data, process integration, governance, and an operating model, AI initiatives remain isolated solutions. The real leverage lies in integration: Agentic AI only unfolds its value when it can execute tasks independently and be seamlessly integrated into existing systems, processes, and decisions.
Where are you?
Three Entry Points Based on AI Maturity
Experiment, Orchestrate, Transform: We meet you where your business is today.
Experiment
AI Explorer
Who is it for?
Companies seeking guidance, looking to build AI knowledge, and understand initial potentials.
What we offer
AI fundamentals, webinars, use case identification, opportunity assessment, ROI analysis.
Explore AI potentialOrchestrate
Integrate AI
Who is it for?
Companies with concrete ideas or initial AI initiatives that need to be put into productive use.
What we offer
Implementation of initial use cases, integration into system environments and workflows, agentic AI in your own environment.
Discuss use casesTransform
Transform with AI
Who is it for?
Companies looking to strategically embed AI and further develop their value creation, organization, or business model.
What we offer
Value chain optimization, organizational development, governance, scaling, and strategic embedding.
Develop a roadmap
In five steps
Towards productive Agentic AI
1
Provide guidance
We analyze processes, data, systems, and goals to identify where Agentic AI can create real value.
2
Prioritize use cases
Together, we evaluate potential application areas based on business impact, feasibility, data foundation, and scalability.
3
Prepare data and processes
We lay the groundwork for reliable agents: data quality, governance, system access, process logic, and responsibilities.
4
Integrate Agentic AI solutions
We integrate AI agents into existing system landscapes and workflows: in a controlled, traceable, and secure manner.
5
Empower the organization
We provide support for roles, governance, change, adoption, and scaling.
Consulting and Implementation
From a single source
Together, we connect business goals, data foundation, and technology, ensuring Agentic AI doesn't get stuck in pilot projects but becomes productive.
Xtentio
Strategy, transformation, process understanding, and consulting methodology.
Advellence
Data expertise, AI Enablement, System Integration, and implementation experience.
Application Areas
Where Agentic AI is already taking over tasks today
Supplier Onboarding
The capture, assignment, and validation of supplier and product data are automated, allowing new suppliers to be onboarded faster, more controlled, and more scalably.
Insufficient Data Quality
Data quality issues such as incomplete, incorrect, duplicate, or inconsistent data are made transparent, creating a reliable foundation for reporting, processes, and AI applications.
Data Migration
The secure migration of legacy data into target systems is supported by automated analysis, intelligent mapping, rule-based transformation, and quality checks before loading.
Maturity Check
Data quality, governance, roles, processes, and the degree of automation are systematically evaluated, and prioritized areas of action and roadmaps are derived from this.
Match & Merge
Similar or duplicate master data records are identified, and departments are supported in merging them into traceable, quality-assured Golden Records.
Consolidation & Harmonization
Heterogeneous data sources are analyzed, mapped, standardized, and consolidated into a uniform, reusable data foundation.
Deduplication
Potential duplicates are identified across various attributes, enabling their controlled cleansing and the long-term prevention of new duplicates.
Data Quality Scan
Data assets are checked against defined quality rules, and errors, anomalies, and areas requiring action are made transparent per domain or source.
Data Classification
Data is classified based on rules, semantics, or AI-supported methods into appropriate categories, classes, or taxonomies, thereby reducing manual assignment efforts.
Auto Translation
Content relevant for translation is identified, and context-based, consistent translation suggestions are generated for multilingual data processes.
Enrichment
Missing or insufficient information is identified, and master, product, supplier, or customer data is specifically enriched with relevant additional data.
Do You Have
Questions?
Arrange a non-binding and free consultation appointment now!
Get in Touch Now
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