AI Rebrick is a centralized access layer on top of your existing IT landscape. It enables AI to work safely, consistently, and in real time with data from legacy systems and modern applications. Teams get direct access to information across systems, without technical intermediaries or specialist expertise.



















AI is on every roadmap. There is a budget, urgency, and pressure to act. The promise is compelling: faster insights, better decisions, higher efficiency. But the moment AI needs to move from idea to daily operations, reality kicks in.
Generic AI tools are powerful, but they are disconnected from your organization. They do not understand your processes, the relationships between systems, or the context behind your data. They only work with public information or data manually entered into them.
Real value requires AI to work directly with enterprise data from CRM, ERP, databases, and other core systems. That is where friction starts. Many AI solutions operate outside your IT environment, reducing control over how data is accessed and used. Security, compliance, and governance become risks the moment sensitive data leaves your trusted landscape.
Then there is the technical reality. Legacy systems and custom-built applications were not designed to plug into modern AI solutions. Integrations are complex, expensive, and often turn into long-running projects. As a result, teams fall back on exporting data, stitching it together in spreadsheets, and manually validating results.
What should take minutes now takes days or weeks. IT teams are overloaded with ad hoc requests and temporary workarounds. Insights remain fragmented, and AI initiatives stall in pilots. Not because AI lacks capability, but because access to enterprise data is not structured correctly.

For AI to deliver real value, it must be able to answer questions directly using your enterprise data, regardless of where that data is stored.
Teams should be able to inquire about customers, orders, payments, or processes without having to switch between tools or wait for IT support. Additionally, it should seamlessly integrate into your existing IT landscape. There is no need for data migrations, system rebuilds, or the creation of new data silos.
It is also essential to maintain full control over data access. This includes determining who can access certain data, what information is queried, and how responses are generated. Centralized security, governance, and access control are crucial for deploying AI safely across the organization.
For IT departments, this approach means that AI requests will no longer be seen as one-off projects or require custom integrations. Instead, they will be supported in a scalable and repeatable manner. Consequently, AI transitions from being merely an experimental initiative to a practical capability that evolves alongside your organization.


AI Rebrick adds a central access layer on top of your existing IT landscape. Instead of moving, copying, or remodeling data, it makes information from multiple systems available through a single point of access.
Users ask questions in plain language. AI Rebrick understands the context and automatically determines which systems and data are required to generate a relevant answer.
The data remains in the source systems. Nothing is stored centrally. AI Rebrick runs within your own IT environment, including fully on-premises. CRM, ERP, databases, SaaS platforms, and custom applications stay exactly where they are. The complexity disappears for users, not for your architecture.

AI Rebrick is designed for the reality of enterprise IT. No migrations. No rebuilds. No additional data layers. No shadow copies of your data. It connects to what already exists and makes AI usable for enterprise data in a controlled, scalable way.
Business users gain direct access to information without technical dependencies, while security, governance, and access control remain centrally enforced. Results can be exported or integrated into existing dashboards and processes, so teams continue working with the tools they already rely on

Natural language queries make data accessible to every role. From business and operations to finance and support. No technical skills required, no dependency on specific tools.

AI Rebrick enables AI to work with real business data. Integrations are no longer long-running initiatives, allowing AI use cases to move from ambition to practical application faster.

Data from modern platforms and legacy systems is available through a single access point. Information can be retrieved without first changing or modernizing the underlying systems.

AI Rebrick continuously builds contextual understanding of systems, data models, and organizational terminology. Through ongoing use and supporting documentation, answers become more accurate and aligned, while governance and control remain enforced.

New systems are connected without impacting performance or flexibility. This keeps the IT landscape adaptable and independent of specific vendors or technologies, even as systems evolve.

Data access is centrally enforced with role-based permissions, logging, and system-level isolation. Every query is auditable and aligned with existing security and compliance requirements, without additional tooling or parallel processes.

Data is queried directly at the source. Teams get answers faster and make decisions based on current, reliable information.
Start small and scale when needed.
Keep using existing systems
No data movement or duplication
Integration into your applications and processes
Use results in existing workflows
Modular architecture that scales with the organization
Connects to databases, APIs, SaaS, and legacy systems
Operates on top of your existing infrastructure
Configures each connection individually
Integrates via APIs into applications and automations
Delivers output through chat, exports, or automated flows







Discover how AI Rebrick delivers value today, within your existing IT landscape.

In many B2B organizations, customer data is fragmented across order management, billing, and support systems. AI Rebrick allows teams to ask questions across all these systems in a single conversation. Data from multiple sources is combined automatically, without manual steps or exports.
Example question
“Which customers purchased product X and have open support tickets?”
Result in practice