Artificial Intelligence

Use AI. Create value. Manage risks.

Artificial intelligence is already changing how companies use information, design processes and make decisions. But individual AI tools alone do not create a sustainable solution. AI can only deliver lasting value when business units and IT work together to select the right use cases and consider data, security and operations from the outset.

AI is more than a tool

Every AI application relies on multiple layers working together: infrastructure in the cloud or in your own data center, platforms for development and operations, data and data pipelines, AI models, agents and capabilities, as well as the applications people interact with. Company data, for example, can be incorporated into AI-generated responses using Retrieval-Augmented Generation (RAG).

The foundation

A successful AI strategy starts with the right data foundation and clearly defined processes. They provide the basis for reliable results. At the same time, security, access control, monitoring and clear governance rules are needed across all layers of the AI stack to ensure that AI applications can be used securely, transparently and responsibly.

Only with this foundation in place can AI create sustainable value.

IT as the driving force and AI enabler

As an AI enabler, IT creates the technological and organizational foundation for the successful adoption of AI. By bringing together data, platforms, security and governance, IT enables AI to be used securely, at scale and sustainably across the organization.

From Service Management and Security to IT Operations and DevOps, AI can help automate processes, accelerate workflows and make better use of data. This improves efficiency and service quality while freeing up resources for innovation and value-creating activities.

Risks associated with AI

AI adoption often moves faster than an organization’s ability to govern it. Risks arise not only from the use of public AI services, but also from internally developed applications and autonomous agents:

Shadow AI and lack of visibility:

Organizations may not know which services are being used, what data is being shared with them or who has access.

Data leakage and manipulation:

Confidential information can be exposed through prompts or external services, while manipulated inputs and data can influence AI-generated results or actions.

Unauthorized access:

AI agents without clearly defined identities or with excessive privileges may access data and systems they do not need to perform their tasks.

Unintended actions and lack of traceability:

Automated workflows can trigger unwanted actions. Without appropriate logging, identifying the underlying causes can be difficult.

Governance, compliance and cost control:

Missing or insufficiently implemented AI policies and unclear responsibilities make it more difficult to comply with internal requirements as well as the GDPR and EU AI Act. Without visibility into usage and consumption, costs are also difficult to control.

Our offering: Use AI effectively and secure it properly

We know from our own experience what it takes to introduce AI successfully. We combine this practical experience with our expertise in Infrastructure & Platforms, Data Analytics, Cybersecurity and Digital Identities. This enables us to help companies integrate AI securely, operate it reliably and use it effectively.

Guidance and a solid foundation

Together with you, we assess specific use cases, data availability, process maturity and your existing architecture. We prioritize opportunities where business value and feasibility come together and develop a step-by-step roadmap. This turns an idea into a clearly defined, measurable use case rather than an isolated experiment.

Unlocking the potential of AI in IT

We help IT organizations integrate AI into existing operational and development processes in a targeted and secure way. Together, we identify relevant use cases across Service Management, Security Operations, IT Operations and DevOps. These include intelligent ticket classification, AI-assisted threat detection and incident analysis in the SOC, monitoring and automation of IT operations, as well as support for software development and quality assurance processes.

AI infrastructure, platforms and Integration

We design and implement the technical foundation for AI applications across cloud, on-premises and hybrid environments. This includes suitable platforms, model integration, data pipelines and RAG approaches, as well as integrating applications and agents into existing IT processes.
Architecture, data access and operational requirements are planned together from the outset.

Secure use and protection of your AI stack

We provide visibility into the AI services being used and help establish controlled access and approval processes. Depending on your environment, this can include Data Loss Prevention for sensitive information, identity and access management for both people and agents, protection of API keys, API security and technical guardrails for AI applications.
This enables data, access and automated actions to be protected in a targeted and controlled way.

Governance, visibility and cost control

We help you develop and implement clear policies and technical guardrails for the use of AI. Together, we define which services and data may be used, who is accountable and how these requirements are enforced technically. Monitoring and observability provide visibility into usage, technical processes and anomalies. This enables you to identify risks early and manage consumption and costs effectively

KI-Readiness-Assessment

Wir prüfen Ihren Anwendungsfall vom Use Case über Daten und Rechenzentrums-Infrastruktur bis zu Betrieb und Security. Sie erhalten eine Zielarchitektur mit Gesamtkosten, Risiken und Roadmap – als Entscheidungsgrundlage, bevor Sie investieren.

Interested? We look forward to hearing from you.

Your Benefits

Higher productivity through automation and AI-assisted workflows

Faster, better-informed decisions through more effective use of data and knowledge

Greater efficiency across IT Operations, Security Operations, Service Management and software development

Secure and controlled use of AI through governance, monitoring and appropriate safeguards

Scalable AI adoption based on a future-ready architecture

Let’s explore how you can use AI effectively and securely across your organization.

Alexander Cornea
+43 1 60 126-0 info@bacher.at