Service

AI & Data EngineerinG

Turn your data into intelligent products and decisions — responsibly, at scale.

Many organizations are awash in data and excited by the promise of Artificial Intelligence – yet they struggle to turn these assets into real business value. Traditional processes and siloed data make it hard to respond swiftly or leverage AI effectively. Efforts often stall in proofs-of-concept, and teams risk falling behind more AI-enabled competitors.

However, in today’s climate, harnessing AI is no longer optional – it’s essential for staying competitive. When done right, AI can streamline operations, boost internal efficiency, and create smarter products that delight customers. Data-driven insights empower better decisions, and AI-driven automation frees your talent to focus on innovation. The clear winners in the market are those who successfully blend AI and data into their DNA. So, how do you make that transformation?

Strategic, hands-on enablement to turn AI potential into real-world results.

Achieving tangible results with AI requires more than experimenting with the latest tech trend – it demands a clear strategy and the ability to execute. At SQUER, we take a holistic, implementation-focused approach to AI & Data initiatives. We work closely with your leadership to define an AI roadmap aligned to your business goals, and then we roll up our sleeves to build it. Our experts will coach your teams and co-create solutions side by side, ensuring that ideas don’t just live on slide decks but are delivered into production.

We tailor every AI solution to fit your organization’s unique context – whether that means optimizing internal processes with AI or infusing your customer-facing products with intelligent features. With a strong foundation in data and a focus on ethical, responsible AI practices, we help you navigate the complexities of AI adoption confidently. Our mission: turn your AI ambitions into reality while enabling your people, refining your data, and delivering lasting business value.

1

AI STRATEGY & ROADMAP

Align AI initiatives with business goalsAlign AI initiatives with business goalsneed.

We start by defining where AI can drive the most value for your organization. SQUER facilitates C-level strategy sessions and discovery workshops to identify high-impact AI opportunities, be it cutting costs in operations or creating new revenue streams. We’ll co-create an AI roadmap (your “North Star”) that balances quick wins with long-term vision, ensuring every AI project supports your overall business strategy. Just as importantly, we help you prioritize initiatives by ROI and feasibility, so you invest in the right ideas.

  • AI Opportunity Assessment
  • Strategic AI Roadmap
  • Change Management Planning

2

Intelligent Automation & OPERATION AI

Drive efficiency with AI as an internal tool.

Empower your workforce by embedding AI into your core operations. We help you identify processes that can be improved or automated using AI and data insights. From automated workflows and AI-powered assistants to predictive analytics dashboards, we implement solutions that streamline internal processes, reduce manual effort, and minimize errors. The result is a boost in productivity and decision-making powered by real-time data. Your teams will spend less time on repetitive tasks and more on creative, high-value work.

  • Process Automation
  • Predictive Analytics
  • Decision Support

3

AI-POWERED PRODUCTS & SERVICES

Enhance customer experience with AI in your offerings.

Go beyond efficiency and innovate your customer-facing products with built-in AI intelligence. SQUER will help you design and implement AI features that make your applications and services smarter and more engaging. Whether it’s integrating a conversational AI chatbot for 24/7 customer support, recommending personalized content/products to users, or leveraging computer vision and NLP to add new capabilities, we ensure the AI components truly address user needs. Our team works with you to embed AI seamlessly into your products, creating differentiated offerings that learn from data and continuously improve the customer experience.

  • Conversational AI & Support Bots
  • Personalization Engines
  • Security & Fraud Detection
  • Intelligent Product Features

4

DATA FOUNDATION & GOVERNACE

Prepare your data to fuel AI (focus on quality, not just quantity)

Great AI requires great data. We assess and strengthen your data infrastructure to make sure it’s AI-ready. Our experts help you establish a robust data strategy and architecture so that the needed data is accessible, reliable, and secure. We assist in setting up data pipelines and storage (e.g. data lakes or warehouses) to gather and preprocess data from across your business. Just as crucial, we put in place data governance practices – from ensuring data quality and consistency, to managing privacy and compliance (GDPR and beyond). With a single source of truth and clean, well-governed data, your AI models can train on the best information available, leading to trustworthy insights.

  • Data Architecture & Integration
  • Data Quality & Prep
  • Governance & Compliance

5

MLops & AI platform Engineering

Scale AI solutions from prototype to production

We don’t just create one-off models – we set you up with the platforms and practices to continuously deliver AI. SQUER’s engineers will help you deploy a reliable AI/ML infrastructure, using modern MLOps principles (Machine Learning Operations) to integrate AI development into your existing IT landscape. We create automated pipelines for model training, testing, and deployment, so new algorithms can move from the data science lab to production quickly and safely. Our approach includes setting up monitoring for model performance and data drift, ensuring that your AI solutions remain effective over time. By building a solid AI platform (often leveraging cloud services and containerization), we enable your organization to scale AI usage and adapt rapidly as opportunities evolve.

  • ML Pipeline Automation
  • Scalable AI Infrastructure
  • Continuous Improvement

Ready to create business impact with AI & Data? — Let’s talk.

Contact us

5 Steps on Your AI Adoption Journey

A phased, flexible approach to ensure AI delivers lasting value.

1

Explore & Ideate

Identify high-impact opportunities by reviewing business pain points and data assets. We start small: pick one use-case with strong ROI potential.

2

Rapidly build a pilot or prototype to validate the AI solution. Test its feasibility and business value using real data, gathering feedback early.

Proof of Concept

3

Prepare your data and environment for scale. Set up the needed data pipelines, cloud infrastructure, and security/privacy measures to support the AI solution in production.

Data & Platform Readiness

4

Deploy & Integrate

Implement the AI solution in production. Integrate the model into your workflows or product, with robust MLOps pipelines for deployment, and ensure your team is trained to use and maintain it.

5

Evaluate & Expand

Monitor results and iterate. Measure the impact on your KPIs, ensure model performance stays high, and make improvements as needed. Once success is proven, gradually expand AI to new use cases or departments following this iterative approach.

Featured Insights

Blog-Article Hero ImageSQUER
6
min. read
Bridging the Digital Divide: Why Accessibility Thinking and Empathy Matter: Part 2 of 2
Melanie Jacob
Blogpost Hero-ImageSQUER
7
min. read
Bridging the Digital Divide: Why Accessibility Thinking and Empathy Matter: Part 1 of 2
Melanie Jacob
SQUER
7
min. read
Interview with Niyati Rana
Julia Toifl
SQUER
17
min. read
The 10 building blocks of Pipeline Design
Riccardo Capraro
SQUER
2
min. read
We’re Growing Our Expertise in AI: Welcome Unit 214 to the SQUER Family
Sophie Halfmann
SQUER
16
min. read
What You’ll Learn from the book ‘Software Architecture: The Hard Parts’
Constantin Dohotaru
SQUER
12
min. read
Understanding Value Stream Management (VSM) and Building Effective Teams with unFIX
Michael Litschauer
SQUER
12
min. read
Data Synchronization in Action: Leveraging Change Data Capture for System Modernization
Lorenz Müller
No items found.