New avenues for value creation with autonomous AI systems

Agentic AI – the next level of AI

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Name, Position bei PwC Deutschland

Andreas Hufenstuhl
Partner at PwC Germany
Tel: +49 1516 4324486
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Unlock the value of AI: realise efficiency gains with AI agents

Generative AI has sparked a genuine revolution with its command of natural language and its ability to process diverse content flexibly. Agentic AI takes this revolution to the next stage, laying the groundwork to unlock the promised efficiency and innovation gains. The idea is straightforward: LLM-powered AI agents, each specialised in specific sub-tasks, are linked and orchestrated. This enables validation of intermediate outputs and the large-scale automation of even highly complex processes. In dynamic environments that demand a high degree of adaptability, agent-based systems deliver a step-change in productivity for enterprises.

“We help you deploy Agentic AI securely, effectively, efficiently and responsibly. Our focus is on the business-led use of agent-based workflows across enterprise processes, striking the right balance between autonomy and human oversight.”

Andreas Hufenstuhl,Partner at PwC Germany

How we support you end‑to‑end with Agentic AI

Unlock the potential of Agentic AI as part of your data and AI strategy

Redesign processes with autonomous agents

Select the right Agentic AI technologies and vendors

Integrate agents, bots and workflows into your IT estate

Orchestrate agents in a goal‑driven, transparent and controllable way

Embed Agentic AI within your organisation

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From single agents to the Agentic Mesh – the key patterns of Agentic AI

Agentic AI builds on the capabilities of large language models (LLMs) and adopts a modular approach. At their core, AI agents perform three steps: first, they gather information – whether text, images, sensor data or datasets from databases. They then devise a plan by processing and analysing the input. Finally, they carry out actions, typically by invoking a set of tools and application programming interfaces (APIs) available to them.

The real strength of agent‑based systems lies in enabling multiple specialised agents within a multi‑agent system to work towards an overarching objective. For example, there may be research bots that source and pre‑process specific information, or quality‑assurance bots that validate the outputs of other bots. The target state for such orchestrated ensembles is often referred to as the Agentic Mesh – a network of interacting agents that, collectively, can take on highly complex tasks in dynamic environments.

Agent OS – the orchestration solution for AI agent workflows

How can AI agents be embedded effectively and responsibly across the enterprise – in a way that delivers lasting value and ushers in a new era of human–AI collaboration for your people? PwC Agent OS provides the answer: an orchestration platform that turbo‑charges your AI transformation.

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“The Agentic AI paradigm opens up new ways to deploy AI purposefully across the enterprise. AI bots can augment the human workforce by automating specific tasks around the clock.”

Frauke Schleer-van Gellecom,Partner at PwC Germany
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Andreas Hufenstuhl

Andreas Hufenstuhl

Partner, Data & AI Use Cases, PwC Germany

Tel: +49 1516 4324486

Prof. Dr. Frauke Schleer-van Gellecom

Prof. Dr. Frauke Schleer-van Gellecom

Partner, PwC Germany

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