Process Automation and Robotics (RPA, AI)

Process automation and robotics (RPA, AI) is a comprehensive service that uses software robots and artificial intelligence to automate repetitive, rules-based and increasingly complex business activities across functions and industries. It combines advanced analytics, machine learning and orchestration platforms to design, implement and manage digital workforces that operate alongside human teams. The service enables organizations to increase efficiency, reduce operational risk and costs, and accelerate digital transformation while maintaining control, compliance and scalability. Submit a request

Reimagining Danish Operations with Intelligent Process Automation and Robotics

Intelligent process automation and robotics based on RPA and AI is increasingly becoming a strategic lever for Danish organizations seeking to reconcile high labor costs, strong employee protection and ambitious sustainability goals with the need for agility and competitiveness in global markets. Read more.

Case study

RPA and AI in Finance: From Chaos to Control

An international financial services company was struggling with a rapidly growing volume of back-office operations, and manual work was becoming a serious bottleneck. Tea...More +

Smart RPA in Manufacturing Supply Chains

In a large industrial manufacturing company, the supply chain office was as critical as the production floor, yet it was powered almost entirely by spreadsheets and email...More +

AI-Driven RPA in Retail Customer Operations

A nationwide retail chain with both brick-and-mortar stores and a fast-growing e-commerce channel faced mounting pressure on its customer operations. Contact centers were...More +

Healthcare RPA and AI: Safer, Faster Patient Flows

A regional healthcare provider operating several hospitals and outpatient clinics faced chronic pressure on both budgets and staff. Administrative tasks consumed a large ...More +

What we provide

Process Assessment

We analyze end-to-end business processes to identify automation opportunities with the highest impact on efficiency, quality, and risk reduction.

RPA Design

We design scalable robotic process automation solutions that replicate rule-based, repetitive tasks across systems without changing existing core applications.

AI Integration

We embed artificial intelligence components such as machine learning, natural language processing, and computer vision into automation workflows to handle unstructured data and complex decisions.

Solution Implementation

We configure, test, and deploy RPA and AI bots in production environments, ensuring robust security, performance, and compliance with enterprise standards.

Platform Enablement

We help clients select, implement, and optimize leading automation platforms and tools, aligning technology choices with their strategic and architectural requirements.

Operating Model

We design and establish automation operating models, including governance, roles, processes, and controls, to manage and scale digital workforces effectively.

Change Adoption

We support organizations in managing change, upskilling employees, and embedding new ways of working so that automation is adopted and sustained across the business.

Continuous Optimization

We monitor, measure, and continuously improve automated processes using analytics and feedback loops to increase value, resilience, and innovation over time.

How Process Automation and Robotics Shape a Sustainable Future

Process automation and robotics based on RPA and AI are increasingly becoming a strategic lever for building a more sustainable future across companies, service sectors and entire economies. A consulting firm that specializes in these technologies do...

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How can we support you?

Process automation and robotics (RPA, AI) unlocks measurable efficiency, quality, and compliance gains across entire organizations. Below are four key areas where comprehensive support can be provided, from strategy and design to implementation and scaling of automation solutions.
End‑to‑end automation strategy and operating model
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A clear automation strategy aligns RPA and AI initiatives with business priorities, target KPIs, and technology roadmaps. Support typically covers defining the automation vision, value case, and investment plan across functions and geographies. Governance structures, roles, and responsibilities are designed to ensure that automation is secure, compliant, and scalable. Radner helps organizations establish a Center of Excellence or federated model that balances central control with local innovation. Standardized methods for idea intake, prioritization, and benefit tracking are introduced to create a repeatable automation lifecycle. As a result, automation becomes an integrated capability rather than a collection of disconnected pilots.
Process discovery, assessment, and redesign
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Effective automation starts with understanding which processes should be transformed and how. Support includes process discovery using workshops, interviews, and process mining tools to identify automation candidates with the highest impact. Each process is assessed for automation feasibility, complexity, risk, and expected financial and non‑financial benefits. Where needed, processes are simplified and standardized before automation to avoid digitizing inefficiencies. We work with stakeholders to define target‑state workflows, decision rules, and exception handling that are robust and auditable. This approach ensures that automation is applied where it creates sustainable value, not just where it is technically possible.
Design, build, and deployment of RPA and AI solutions
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Once priority use cases are defined, attention shifts to designing and delivering robust automation solutions. Support covers selecting and configuring RPA platforms, AI components, and integration patterns that fit the existing technology landscape. Detailed solution designs are created, including bot workflows, data models, security controls, and monitoring requirements. Radner develops, tests, and deploys software robots and AI models using industrialized delivery methods and quality standards. Change management, training, and communication are embedded to prepare business users for new ways of working with digital workers. Ongoing hypercare and optimization ensure that automations remain stable, performant, and aligned with evolving business needs.
Scaling, governance, and continuous improvement of automation
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After initial successes, the challenge is to scale automation safely and efficiently across the enterprise. Support includes designing governance frameworks covering risk, compliance, access management, and lifecycle management of bots and AI models. We help define standards for documentation, testing, release management, and monitoring to reduce operational and regulatory risk. Performance dashboards and value‑tracking mechanisms are implemented to measure throughput, error rates, and realized savings. A structured pipeline of new use cases is created, supported by training and enablement for business and IT teams. Over time, automation evolves into a continuous improvement engine that systematically enhances processes, customer experience, and employee productivity.

Why choose us?

Business-first

We design RPA and AI solutions starting from measurable business outcomes, not from technology hype. We translate complex automation opportunities into clear value cases that resonate with both Danish executives and operational teams.

End-to-end Delivery

We cover the full lifecycle from process discovery and redesign through implementation to hypercare and continuous improvement. We build robust governance, documentation, and change management so that automations remain stable, compliant, and easy to scale.

Local Expertise

We combine deep knowledge of the Danish regulatory and cultural context with global best practices in RPA and AI. We work closely with client teams on-site, ensuring transparent communication, high trust, and solutions tailored to the way Danish organizations really operate.

Contact

Need more information? Contact us.