CORE OFFERING
AI Technology
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We empower enterprises to harness the new era of data-driven AI by combining robust data foundations, conversational intelligence, and agentic enablement, consequently bridging the gap between business and data.
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OVERVIEW
AI success starts with a strong integration
of business and technology
The future of enterprise data lies in AI-driven, cloud-enabled platforms that integrates business and technology. By combining trusted data cores, conversational access, and agentic AI, this new foundation enhances decision making, accelerates time-to-market, and enables innovation at scale.
KEY POINTS
AI IS BOOMING
​With $320B projected investments in AI in 2025, and over 70% of companies using AI in some form including GenAI and agentic AI.
VALUE REALIZATION GAP
75% of businesses see only a low or no ROI on their AI intiatives yet, since most companies don‘t get it right or fast enough, getting stuck with POCs.
THE POTENTIAL
If done right, there is a transformation that positively influences the business, generating real value from the start. This is where we come in with our proven best practices.
INTRODUCTION
The data landscape has undergone repeated waves of transformation, from warehouses to lakes to mesh architectures, each promising progress but often leaving the gap between business and data unbridged. Today, a new era has arrived: Cloud platforms enable departments to move faster and more independently, while large language models put real-time data access and automation directly into the hands of business users. Knowledge workers can now engage with live enterprise data in intuitive, powerful ways. For organizations, this marks a critical inflection point where adopting a flexible AI-driven technology stack is not only a path to greater efficiency, but a competitive imperative to accelerate innovation and keep pace in an AI-first world.
“AI-LED EMPOWERMENT ALLOWS FOCUSING ON
THE WORK THAT IS TRULY REWARDING​.”
WHAT WE DO
Our AI Technology Offering is a three-layered solution stack for AI-driven success. At the first layer, Agentic AI Enablement and AI Solution Kits deliver the tools and frameworks to seamlessly operationalize LLMs and intelligent agents for business-specific tasks, unlocking new levels of efficiency and innovation. The second layer, our Conversational Data Hub, transforms data exploration and analytics into an intuitive, dialogue-based experience, putting live, complex data directly into the hands of business users. At its foundation lies the Clean Data Core, a robust data architecture and pipeline ecosystem that ensures enterprise-grade data quality, governance, and scalability.
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01 | AI SOLUTION IMPLEMENTATION
Our AI Solution Kits provide ready-made, customizable assets that automate core enterprise functions and deliver rapid value. Built from real client challenges, these kits combine conversational workflows, domain expertise, and enterprise integration for faster adoption. With offerings such as Contract Navigator, Sales Assistant, HR Concierge, and Audit Wingman, organizations boost efficiency, consistency, and decision-making across key business areas.
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Pre-Built AI Assets | Rapid Value Creation | Workflow Automation | Enterprise Integration
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02 | AGENTIC AI ENABLEMENT
Our Agentic AI Enablement equips organizations with intelligent agents that automate tasks, support decisions, and scale innovation. By combining customizable AI Solution Kits with bespoke development using frameworks like LangChain and LangGraph, we enable business users to create and manage AI agents independently. This reduces reliance on IT cycles and unlocks new productivity, driving faster time-to-value and transforming how work gets done.
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Workforce Empowerment | Autonomous Agents | Decision Support | Scalable Innovation
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03 | DATA PRODUCTS FOUNDATIONS
Our Data Products Foundations establish the standards, patterns, and operating model required to scale data product development. By aligning roles, lifecycle practices, and design approaches, we create consistency between business and IT teams. This unified framework ensures high-quality, reusable data products that integrate with the Conversational Data Hub, fostering collaboration and enabling a sustainable data ecosystem.
Standardized Frameworks | Scalable Data Products | Business–IT Alignment | Consistent Quality
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04 | CONVERSATIONAL DATA HUB INCEPTION
Our Conversational Data Hub Inception connects business users directly with live data through intuitive, chat-based interaction. Whether layering on top of existing marketplaces or building open-source solutions, we provide unified access to querying, analysis, and visualization. The result is simplified data access, reduced dependency on technical teams, and accelerated self-service analytics adoption across the enterprise.
Natural Language Data Access | Unified Data Experience | Self-Service Analytics | Intuitive Insights
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05 | MULTIOPS INTRODUCTION
Our MultiOps Introduction integrates DataOps, MLOps, and LLMOps into a cohesive operating framework for reliable, governed AI and data pipelines. By automating orchestration, monitoring, and deployments, we align technical operations with business policies. This unified practice sustains trust in data, accelerates AI adoption, and ensures consistent value delivery at scale.
Unified Data & AI Ops | Continuous Monitoring | Automated Pipelines | Governance Integration
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06 | CLEAN DATA CORE ACTIVATION
Our Clean Data Core Activation delivers modern, scalable architectures to power AI and analytics. By combining lakehouse principles, real-time pipelines, and event-driven designs with technologies like Databricks, Snowflake, and BigQuery, we ensure performance and flexibility. The outcome is a trusted, unified foundation that supports self-service analytics and future AI innovation across the enterprise.
Modern Data Architecture | Trusted Data Foundation | Real-Time Processing | Cloud-Native Flexibility
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07 | DATA CORE MODERNIZATION
Our Data Core Modernization transitions organizations from legacy platforms to modern, cloud-native architectures. From business case development to automated migrations with state-of-the-art tools, we minimize disruption while ensuring data quality. The result is a cost-efficient, scalable foundation that enhances performance and unlocks modern AI and analytics capabilities.
Modern Data Architecture | Trusted Data Foundation | Real-Time Processing | Cloud-Native Flexibility
MEET THE TEAM
JAN KUNIGK
Partner
AI Technology Lead
MARCEL MOLDENHAUER
Principal​
Data & AI Strategy,
GenAI Architecture
MAXIMILIAN RAUPENSTRAUCH
Associate​
AI Technology, Procurement
DANIEL MEISTER
Associate​
Digital Transformation,
Machine Learning