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We reimagine processes end to end – with AI at the core

AI-powered process optimisation for greater value creation

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Your expert for questions

Gori von Hirschhausen

Gori von Hirschhausen
Partner & Transformation Leader at PwC Germany
Tel: +49 171 8179 355
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How we embed standalone AI tools into your core processes

Investment in artificial intelligence (AI) is rising, yet measurable business value often fails to materialise. The reason? Many organisations run AI alongside their processes rather than within them. Manual handovers and established decision-making paths remain unchanged, and day-to-day operations carry on as before. According to PwC's study "AI Performance: How AI-ready are German companies?", AI leaders are 2.2 times more likely to redesign their workflows to embed AI directly into their processes. The key difference is that they design processes end to end, not along organisational boundaries.

We design your processes so that tasks are deliberately allocated between people, AI and rule-based systems. Clear checkpoints and escalation paths safeguard quality and accountability. This requires your processes to have sufficient maturity and a solid data foundation. The result is scalable processes that deliver measurable value across teams, functions and regions.

“AI scales when processes, governance and human accountability work together. Get that right, and automation becomes a lasting competitive advantage.”

Gori von Hirschhausen,Partner at PwC Germany

How AI leaders create greater value

We connect processes across your value chain, from finance and tax to legal. This breaks down the departmental boundaries that have so far stood in the way of real value.

Not every process suits the same degree of automation. We define what AI handles, what runs on rules and where human judgement matters, based on complexity and risk.

We build checkpoints, escalation paths and approval criteria directly into process design. This keeps AI transparent and under control, even in complex end-to-end workflows.

We draw on reference processes from thousands of projects. We know the typical value levers and bottlenecks, and we adapt proven approaches to your specific situation.
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Our services for AI-powered process optimisation

AI only transforms processes when they are rethought from the ground up. That's why we start with your value chain.

We identify where automation should take the lead and where people need to review, decide and remain accountable.

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Create greater value with AI-powered processes

Talk to our experts about where your opportunities lie

Responsible AI-powered processes: efficiency, governance, control and human oversight

PwC understands the typical value levers, bottlenecks and process patterns across a wide range of industries. We draw on reference models from thousands of projects and adapt proven approaches to your specific situation, significantly shortening the journey from concept to implementation.

When is AI-powered process optimisation the right step? It delivers the greatest value where processes have sufficient volume, a stable data foundation and clear success criteria. Organisations that are still building their data strategy or governance will initially benefit more from putting these foundations in place. A realistic assessment of your own maturity is the best place to start.

Reliability is built into process design, not the model

Even high-performing AI systems are not infallible. The more autonomously AI takes on tasks, the more important clearly defined guardrails, checkpoints and accountability become. According to PwC's "AI Performance" study (2026), AI leaders are 1.7 times more likely to use a documented Responsible AI framework and 1.5 times more likely to have a cross-functional governance board. AI handles repeatable decisions within defined boundaries, while people make the call where complexity, risk or customer impact demand it. PwC combines expertise in processes, governance and regulation to embed this division of responsibilities reliably.

“Not every business process is suited to the same type of AI-driven automation. What matters is defining the right level of autonomy for each task.”

Gori von Hirschhausen,Partner at PwC Germany

Frequently asked questions

Conventional process automation replaces repetitive, rule-based steps with software, but the process itself stays the same. AI-powered process optimisation goes further. It fundamentally redesigns workflows, allocates tasks between people, AI and rule-based systems, and enables well-founded decisions that would not be scalable without AI. The difference lies not in the tool, but in how work, accountability and decision-making are reorganised across the entire workflow.

The right level of autonomy depends on three factors: the complexity of the decision, the risk if something goes wrong and the value potential of intelligent automation. Simple, rule-based steps with a low risk of error are well suited to a high degree of autonomy. Decisions that affect customers, contracts or regulatory requirements call for human oversight. Developing a robust autonomy matrix for each process step is the starting point for any AI-powered process design. For example, automated invoice checking can run on rules up to a defined threshold, above which a person makes the decision.

Human-in-the-loop means that people review, decide or approve at defined points within an AI application. AI handles repeatable tasks automatically within set boundaries. As soon as exceptions, conflicting objectives or regulatory issues arise, a person steps in. Checkpoints, escalation paths and approval criteria are built directly into process design, which is the key to combining speed with control.

AI is particularly well suited to processes with high volumes, clear rules and large amounts of data, such as invoice processing, compliance checks and reporting. AI quickly identifies patterns in structured data and makes rule-based decisions more reliably and efficiently than manual workflows. This shortens lead times, reduces rework and improves decision quality, while remaining highly scalable. The greatest challenges lie in workflows involving complex individual cases or significant discretion. Here, human-in-the-loop mechanisms safeguard quality.

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Hendrik Reese

Hendrik Reese

Partner, Responsible AI Lead, PwC Germany

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