The AI revolution – More than just hype
Since the release of ChatGPT in November 2022, AI has captured global attention. For the first time, a broad audience experienced what AI can truly do – generating texts, images, even code — in seconds. This marked a breakthrough moment: from niche tech to everyday tool.
Companies across industries are now investing billions in AI infrastructure. Tech giants like Microsoft, Google, and Nvidia are reshaping their core business models around AI. Media coverage and skyrocketing valuations — like Nvidia’s brief surge to $3 trillion — reflect the immense momentum behind the technology.
Why all the excitement? AI is already proving its value:
- Foodforecast helps reduce food waste by 30%.
- Recogizer optimizes energy usage in buildings.
- Tourlane and Douglas use AI to personalize marketing and re-engage customers with automated, timely recommendations.
How companies are responding
In response to the rapid development of AI technologies, companies across industries are ramping up their investments and experimenting with real-world applications. The focus has shifted from exploration to implementation.
Massive infrastructure investments
Tech giants like Meta, Google, and Microsoft are planning billions in AI-related spending. Meta alone has announced over $40 billion for AI infrastructure in 2025. Nvidia dominates the chip market, while AMD and Intel are racing to catch up. These developments create ripple effects across industries — even companies outside of tech are now investing in data architecture, cloud capacity, and integration platforms to prepare for AI at scale.
Mainstream adoption of AI tools
From office applications to internal platforms, AI tools like Microsoft Copilot or Google's AI assistants are being rolled out company-wide. These solutions support teams in daily workflows, content creation, data analysis, and communication — freeing up time for high-value tasks and increasing efficiency.
Tailored AI modules over one-size-fits-all solutions
Instead of building complex, monolithic AI systems, companies are opting for purpose-built modules tailored to specific tasks — such as fraud detection in banking or energy optimization in buildings. This approach shortens implementation time and allows for measurable improvements within defined business areas.
On-device AI & real-time processing
To reduce latency and cloud dependency, businesses are increasingly deploying AI capabilities directly on devices. In areas like autonomous driving, wearables, or real-time analytics, this enables faster decision-making and lowers operational costs.
Sustainability & cost-efficiency
Optimizing existing foundation models — for example through parameter-efficient fine-tuning methods like LoRA — is becoming more common. Companies are minimizing energy usage, controlling cloud costs, and adapting AI systems to regional needs (e.g. languages, local user behavior).
Experimentation with generative AI
More and more businesses are testing generative AI in customer-centric scenarios:
Douglas uses AI to notify customers when beauty products run low.
Tourlane creates personalized travel ads based on user preferences.
Performance Max automates ad placement across channels.
What’s next: Trends to watch in 2025
AI Agents: From Tools to Teammates
AI agents are becoming autonomous actors in the workplace. These systems access personal data like calendars, emails, and contacts to independently manage tasks — from sending birthday greetings to coordinating project timelines or making purchases. Some even collaborate with each other to streamline workflows. This shift marks the rise of AI as a true “colleague.”
Advanced Intelligence: Smarter, More Context-Aware Models
New models like GPT-4.5 are setting new standards in natural language processing. They understand emotional nuance, generate empathetic responses, and process large volumes of contextual information (up to 256,000 tokens). The result: more human-like interactions and smoother integration into customer service, HR, and knowledge management.
Edge AI & Sustainability
AI is moving closer to where data is generated — from cloud to edge. This shift reduces latency and enables real-time decisions in critical fields like autonomous driving or medical diagnostics. At the same time, energy consumption is under scrutiny: training a single large model can use over 1.3 GWh. The push for more energy-efficient, “green” AI is accelerating.
From hype to action: Making AI work for YOUR Business
As you see, AI is everywhere — in headlines, in boardroom strategies, in pilot projects. But how do you turn this momentum into something that truly drives value in your organization?
The answer lies in bridging the gap between possibility and practicality.
Because the real challenge is not discovering what AI can do — it's identifying what it should do in your specific business context. Which processes benefit from automation? Where can personalization make a real difference? And how do you ensure the solution aligns with your customer-centric goals and internal capabilities?
That’s where we come in.
"This is a time when you should be getting benefits [from AI] and hope that your competitors are just playing around and experimenting."
Committed to your AI transformation
Our AI journey
At rpc, our AI journey started long before the hype — rooted in real business needs and a practical, hands-on approach. From our early collaboration with Retorio, a leading AI coach platform, to AI-powered sentiment analysis in niche sectors, we’ve consistently turned AI potential into measurable business value.
We’ve built deep expertise through diverse projects across industries, focusing on scalable, relevant solutions that empower people and deliver real results.
Why rpc?
We combine strategic clarity, proven change management and hands-on AI know-how — not just consulting, but actively experimenting with AI within our own organization. This real-world experience shapes smarter, more effective solutions for our clients – all in line with GDPR and EU AI Act.
From strategy to scalable execution
We go beyond advising — we implement sustainable AI solutions tailored to your business reality. Whether it’s helping leadership unlock AI’s strategic advantages or transforming customer feedback into actionable insights, we deliver impact where it matters most.
Exemplary questions we help you answer
- How can AI create a lasting strategic edge, and what organizational shifts does this require?
- How do we turn complex customer data into clear, actionable business improvements?
A glimpse behind the scenes: Maximizing performance through key levers in AI
Sustainable customer experience performance requires more than isolated use cases. That’s why we focus on seven interconnected success factors that span the full CX journey — from strategic design to hands-on implementation.
By integrating AI into each of these levers, we amplify their impact: increasing speed, precision, and effectiveness. The result is measurable growth and transformation that lasts.
Marketing Excellence: Use AI to generate highly relevant and targeted communication leading to more high quality leads
CX Strategy: Use AI to understand customer needs and pain points, brand USPs and detect dependencies
Organization Structure & Processes: Use AI to determine process potentials, inefficiencies and optimize workflows
Granular Performance Management: Use AI to detect individual POS efficiency bottlenecks and untapped potentials
Systems & Technology: Use AI to understand tool potentials, data gaps and link previously siloed insights
People: Use AI to enable employees to provide better services based on real-life and detailed customer insights
Physical Retail Experience: Use AI to close gaps between touchpoint and channel jumps in the customer journey thereby leading to higher conversion
AI in action
We’re not just talking about AI - we’re delivering it
TELECOMMUNICATION
Boosting CX with in-store voice AI
Analyzing 100+ consultations to improve customer experience through AI-powered, GDPR- and EU AI Act–compliant in-store voice insights.
AUTOMOTIVE
Turning data into business impact with tailor-made LLMs
Transforming 21,500+ monthly votes and comments from internal and external data into actionable business insights.
TECHNOLOGY
Enhancing communication with live AI coaching
Improving communication effectiveness by saving 40% in trainings by implementing a customized AI training with a live AI avatar.
TECHNOLOGY
Elevating proficiency with AI knowledge assistant
Reducing coordination time by 35% with an AI powered personal knowledge assistant that enables employees to systematically access data by presenting it in an easy-to-understand way.
In a nutshell: What we bring to the table
- Interdisciplinary teams with deep CX, retail, change management & AI implementation experience
- Ready-to-use solutions & use cases, from DAX companies to Mittelstand
- Cross-functional expertise in change, data, systems & people
- Human-centered AI – built for users, not just for show
- Compliance-first execution aligned with GDPR and EU AI Act
- Real usage at rpc – we use AI ourselves, every day
Let’s identify your first high-impact use case together.
Whether through a short workshop, pilot, or full enablement –
we’re ready when you are.
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