We integrate AI solutions seamlessly into your IT environment and workflows

AI implementation for production use

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Nico Reichen

Nico Reichen
Lead Data & AI Team at PwC Germany
Tel: +49 171 8179355
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How to use AI productively without building everything from scratch

Many AI projects never progress beyond concepts, prototypes or pilots. Yet companies need AI solutions that integrate with existing systems and processes, access relevant data and operate in a controlled environment. Only when AI is deployed in production can it deliver measurable improvements in efficiency, quality, speed and scalability.

We develop and integrate the AI solutions that best fit your organisation and establish the conditions for secure, quality-assured operations. This shortens the journey from pilot to production and deploys AI where it creates tangible value.

“A pilot project demonstrates what AI can do. Its business value only becomes apparent in daily operations: that is where it must perform reliably, be securely integrated and deliver robust results. This is how we evaluate productive AI solutions.”

Nico Reichen,Partner at PwC Germany

Our services: we develop, integrate and secure AI solutions

Benefit from tailored AI solutions: we close the gaps that standardised products leave open.

Benefit from leading platforms: we select the right combination on a vendor-neutral basis.

Delegate multi-step tasks to AI agents: we define clear responsibilities and handover points.

Use AI directly within your processes: we ensure secure interfaces and connect your data foundation.

Move AI from pilot to production: we assess quality, security and compliance before go-live.

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Work with us to move your AI solution securely into production.

We deliver solutions: AI implementation backed by technology, industry and regulatory expertise

Many companies have already identified their AI use cases. The key question is which solution fits your objectives from a business, technical and regulatory perspective and is economically viable. As a trusted advisor, PwC supports you in making this decision. We assess off-the-shelf products, platforms, AI models and custom development in terms of benefits, effort and risk. This gives you an AI solution that supports your business objectives, fits into your IT landscape and can be extended flexibly.

Our team of more than 600 AI experts brings know-how and practical experience from implementation projects across a wide range of industries, functions and technology areas. We support your AI solution step by step throughout its entire lifecycle. From architecture to operations, we take organisation, security and compliance into account from the start. We embed cyber security at every stage, from architecture and development through to operations. This ensures that the solution continues to operate reliably after go-live.

“The real test for AI lies in day-to-day processes: does the AI solution create business value there? To achieve this, it needs as much technology as necessary and as little complexity as possible.”

Nico Reichen,Partner at PwC Germany

Frequently Asked Questions about implementing AI solutions

Together with PwC, you assess whether custom development, standardised products, platforms or technology partners best meet your requirements. The deciding factors are benefits, effort and risk. For go-live, we work with you to define your target architecture, responsibilities and quality criteria. Functional and technical testing, together with security and compliance checks, ensures quality. Approvals and monitoring create the operational framework for an AI solution that runs reliably – and also contributes to your AI strategy.

Custom AI development is worthwhile if standardised products do not meet your business requirements or existing platforms do not fit the process. Before deciding, you should check whether an off-the-shelf solution or partner technology would achieve the objective more quickly and cost-effectively.

AI can be integrated successfully through secure interfaces, appropriate access rights and connections to existing data. This allows AI to be embedded in systems such as ERP, CRM, document management or specialist applications without creating additional user interfaces or requiring employees to switch between systems.

The pilot phase is followed by business acceptance and technical testing. Secure APIs, access rights and data connections are then set up for existing systems such as CRM, DMS or ERP. A phased rollout introduces the solution into the intended processes. Defined responsibilities, approvals and monitoring ensure a smooth handover to ongoing operations.

Security and compliance are part of AI implementation at every stage, from architecture to operations. Quality criteria, testing, approvals, controls and monitoring create a framework in which risks can be identified and managed early on.

Before implementation, the business objective and baseline are defined. Companies then measure how efficiency, quality and speed develop. Ongoing operating and usage costs are also part of the assessment.

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Nico Reichen

Nico Reichen

Partner, AI Portfolio Leader, PwC Germany

Tel: +49 171 8179 355

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