Free up time with Automation


We combine the power of Robotic Process Automation (RPA), integrations, artificial intelligence (AI), and self-service portals to automate tasks, streamline processes, and enhance user experience. By leveraging these technologies, businesses can achieve increased productivity, improved accuracy, and better utilization of human resources.

Robotic Process Automation (RPA): RPA involves using software robots or "bots" to automate repetitive, rule-based tasks. These "bots" can mimic human interactions with digital systems, such as logging into applications, copying and pasting data, or performing calculations. RPA enables organizations to automate routine tasks and free up human resources for more value-added activities.

Integration: Integration refers to the process of connecting different systems, applications, or data sources to enable seamless information flow and interaction. In the context of digital automation, integration is crucial to ensure that various software components can communicate and share data efficiently. It allows data to synchronize, triggers actions across systems, and enables full automation.

Artificial Intelligence (AI): AI encompasses technologies that enable machines to simulate human intelligence and perform tasks that typically require human cognitive abilities. In the context of digital automation, AI can be applied in several ways. Machine learning algorithms can be used to analyze large amounts of data and extract valuable insights, enabling data-driven decisions. Natural Language Processing (NLP) enables machines to understand and interpret human language, allowing them to interact with users or process unstructured data.

Self-Service Portals: Self-service portals are user interfaces that allow individuals to access information, perform tasks, or interact with systems independently, without the need for human assistance. These portals are designed to provide a user-friendly experience and empower users to resolve their inquiries, find information, or conduct transactions on their own. By automating routine processes and offering self-service options, organizations can enhance customer satisfaction, reduce costs, and increase operational efficiency.

Free up time with customer journeys


UX/design, CRM, and markedsføringsautomatisering utgjør an extensive service for customer experience. This service aims to create engaging, personalized, and seamless experiences for customers across various touchpoints. By employing user-centered design principles, leveraging CRM systems, and automating marketing processes, businesses can enhance customer satisfaction, build stronger relationships, and increase customer loyalty. This combination of elements enables organizations to deliver a coherent and unified customer experience throughout the customer lifecycle.

User Experience (UX) and Design: UX and design play a crucial role in shaping a positive customer experience. UX focuses on understanding user needs, behaviors, and preferences to create intuitive and user-friendly interfaces. Design elements such as layout, color choices, typography, and visual elements are carefully crafted to enhance usability, aesthetics, and brand consistency. By prioritizing UX and design principles, organizations can create engaging and seamless experiences for their customers on digital touchpoints like websites, mobile apps, and other digital platforms.

Customer Relationship Management (CRM): CRM systems allow businesses to manage and analyze interactions with customers and potential leads. These systems typically encompass features such as contact management, sales process tracking, customer support, and marketing automation. CRM platforms gather customer data from various touchpoints, enabling organizations to gain a holistic view of their customers, track interactions, and tailor communication. By leveraging CRM tools, companies can optimize customer engagement, nurture relationships, and deliver tailored experiences based on individual preferences and behaviors.

Marketing Automation: Marketing automation refers to the use of technology to automate repetitive marketing tasks, such as email campaigns, follow-ups with potential customers, social media management, and delivery of personalized content. These platforms utilize customer data, behavior tracking, and segmentation to deliver targeted and relevant messages to customers at different stages of the customer journey. By automating marketing processes, organizations can scale their marketing efforts, improve efficiency, and deliver personalized experiences that resonate with customers' interests and preferences.

Free up time with data


The combination of analysis, insights, data scientists, and predictive capabilities within a data platform provides businesses with the opportunity to leverage data as a strategic resource. This enables organizations to uncover valuable insights, predict trends, and make informed decisions. By adopting data-driven approaches, businesses can optimize operations, enhance customer experiences, and drive growth and innovation. The data platform serves as a central hub, providing the necessary tools, expertise, and infrastructure to effectively harness the power of data and unlock its full potential.

Analysis and Insights: A data platform offers powerful tools and features for analyzing and deriving insights from large volumes of data. It provides a range of techniques for data manipulation and exploration to uncover patterns, trends, and correlations. These analyses help businesses understand their data, identify key metrics, and gain valuable insights into customer behavior, market trends, operational performance, and more. By leveraging analysis and insights, organizations can make data-driven decisions, optimize processes, and identify opportunities for growth and improvement.

Data Scientists: Data scientists play a crucial role in extracting meaningful information and value from complex datasets. They use advanced statistical techniques, machine learning algorithms, and predictive models to analyze data and develop models that can provide insights and make forecasts. Data scientists possess expertise in programming, data manipulation, and statistical analysis, enabling them to extract actionable insights and develop predictive models to anticipate future trends, customer behavior, and business outcomes.

Predictive Analysis: Predictive analysis is a central component of a data platform. By using historical and real-time data, predictive models can anticipate future events, behaviors, and outcomes. These models assist businesses in making informed decisions, optimizing operations, and developing targeted strategies. For instance, predictive analysis can be used to forecast customer demand, optimize pricing, identify customer churn risks, personalize marketing campaigns, and optimize inventory management. By integrating predictive capabilities into the data platform, organizations can proactively respond to changes in market dynamics and gain a competitive advantage.

Free up time through scaling and adjustment (Nearshoring)

eBIT offers a nearshoring service that enables companies to build their own teams of developers in Latvia, which is 1.5 hours away from Oslo. This provides businesses with access to highly skilled developers while also reducing costs. With nearshoring, you can scale your digital team. This is an attractive service that grants access to highly qualified resources. This can contribute to increased productivity, efficiency, and cost reduction. eBIT takes responsibility for the employees and administration, ensuring that laws and regulations are upheld. This provides you with a risk-free model for scaling your digital initiatives. All nearshoring through eBIT is managed by Norwegian leadership, and you enter a Norwegian agreement with eBIT Consulting AS, which is 100% owned by Norwegian shareholders. This service is exclusively for the Norwegian market.

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