AI projects are abandoned by organizations because they are not supported by AI-ready data.
Unified Data Foundation
Build the foundationUnlock AI
A trusted data foundation for analytics, AI and future business growth.
AI isn’t the first step.Data is.
Many organizations begin their AI transformation by choosing technology. Our experience shows that sustainable business value comes when AI is built on trusted data, consistent architecture, and well-designed processes.
Organizations have not yet started scaling AI across the enterprise.
Organizations have avoided selected GenAI use cases due to data-related challenges.
Why doesn’t AI scale?
Fragmented data
Data remains trapped in silos, without shared definitions or a single source of truth.
No common foundation
Every new initiative requires integration and data preparation to be built again.
Data isn’t AI-ready
Teams spend their time preparing data instead of developing and scaling AI solutions.
Growing technology debt
Point solutions increase complexity and slow down every initiative that follows.
What does this mean for business?
AI remains an experiment
Slower growth
Higher costs
Lost competitive advantage
Don’t build every initiative from scratch
New initiatives should build on what already exists instead of requiring new integrations, data models and environments every time. A common foundation makes it possible to develop reporting, analytics, data products, and AI faster.
Unified Data Foundation
Unified Data Foundation transforms data from a resource built for individual projects into a foundation for growth across the entire organization. Integrations, models and standards are built once and reused across multiple initiatives, allowing each new initiative to start faster, cost less and deliver business value sooner.
More than a data warehouse
Unified Data Foundation goes beyond storing and processing data. It brings together data, integration, quality, governance, security, and infrastructure into one consistent, managed environment across the organization.
BUILT ONCE.
Ready for What’s Next.
Reporting, analytics, and AI solutions powered by shared, trusted data.
Automated data ingestion and integration across the organization.
A single trusted source of data for business initiatives across the organization.
Data quality, reliability and consistency managed from day one.
Security, compliance, and full control over data and costs.
Scalable infrastructure that evolves with the needs of the organization.
Analytics • Data Products • AI • Reporting • Automation
One foundation Value across the organization
Faster return on investment
One foundation applied across multiple initiatives.
Shorter time from idea to product
No need to rebuild integrations from scratch.
Future-ready architecture
Open, scalable, and developed within your organization’s environment.
Data ready to use
Common standards, quality, and governance.
Case StudyReal challenge, measurable result.
A Shared Data Foundation for Data & AI
- Country:
- Poland
- Industry:
- FinTech
From delayed reporting to
real-time decisions
Challenge
Rapid business growth and increasing transaction volumes exposed the limitations of the existing data platform. Critical information was delayed by up to two days, making fast and informed business decisions difficult. Long processing and reporting cycles, inconsistent data definitions, and limited flexibility restricted access to timely, reliable information across the organization.
Solution
We implemented Unified Data Foundation, a proven data foundation operating within the client’s environment and under their full control. A single trusted source of data, real-time processing and self-service capabilities reduced processing and reporting times from days to minutes, providing fast access to reliable, up-to-date information.
Business Impact
- Faster operational and strategic decision-making
- Greater trust in data and reporting
- More effective collaboration across teams
- Lower data environment operating costs
- Greater agility in responding to market changes
- A foundation for AI initiatives and advanced analytics
Want to see how we achieved these results?
Explore the full Case Study from the business challenge and implementation approach to measurable business and technology outcomes.
Three steps to becoming AI-ready
The journey to effectively using data and AI starts with assessing your readiness, continues with building the right foundation, and then enables you to scale new initiatives across the organization.
Phase I · 2–4 weeks
AI Ready Data Discovery
We assess your data and architecture readiness, identify key priorities, and define a roadmap for the next steps.
Phase II · 3–5 months
Build the foundation
We prepare your data and technology environment for AI by organizing and integrating data, evolving the architecture, and building a foundation for scalable AI solutions.
Phase III · Continuous scaling
Scale the value
We scale Data & AI across the organization, from process automation to new products, services and opportunities for data monetization.
Build the foundation. Scale the value.
Every new initiative starts one step ahead.
Unified Data Foundation enables data, integrations and standards to be reused across analytics initiatives, data products and AI reducing implementation time and lowering costs.
Up to
Traditional approach15–20 months
Every project starts building from scratch.
Unified Data Foundation3–5 months
Every project builds on an existing foundation.
Why does our approach work?
Why does our approach work?
Business First
Business priorities set the direction.
AI-Ready by Design
AI isn’t an add-on at the end.
Vendor Independent
Technology tailored to your organization.
Your Platform. Your Data.
Your data and environment remain 100% under your control.
Open Architecture
Freedom to integrate, evolve, and scale.
Reuse Instead of Rebuild
What is built once can be reused across future initiatives, reducing time and costs.
Built for business.Proven in practice.
AI-ready organizations don’t happen by accident. They are built on well-designed data, architecture, and processes.
Our role is to build solutions that address today’s business needs while preparing organizations for the Data & AI initiatives that come next.
Challenge
As the organization grew and its data management needs increased, the existing platform began to generate higher operating costs and limit the institution’s ability to launch new initiatives. Maintaining the environment required significant involvement from technical teams, while many processes remained manual, increasing operational complexity and making the infrastructure more difficult to scale.
Solution
We implemented a standardized data layer, simplifying the architecture, and creating a scalable foundation for future growth. Infrastructure-as-Code introduced automation and repeatability while providing full control over changes across the environment.
Business Impact
- Reduced operational complexity
- Lower infrastructure costs
- Less operational effort required from technical teams
- More efficient use of IT resources
- Faster delivery of business initiatives
- More time for innovation instead of infrastructure maintenance
Want to see how we achieved these results?
Explore the full Case Study from the business challenge and implementation approach to measurable business and technology outcomes.
AI-READY DATA DISCOVERY
Is your organization ready for AI?
Effective use of AI starts with the right data, architecture, and process foundations. Within 4 weeks, we assess your organization’s readiness for AI, identify the most important gaps, and develop a practical roadmap towards becoming AI-ready.
As part of AI-Ready Data Discovery, you will receive:
- 01
An assessment of your organization’s readiness to use AI
- 02
A map of key gaps and areas requiring change
- 03
Transformation priorities and recommended actions
- 04
A Business Case and roadmap for the next steps
- 2–4 weeks
- Fixed price
- Roadmap + Business Case
Let’s explore the possibilities
Find out what stands between your organization and the effective use of data and AI.