STEP 1: DISCOVERY + ANALYSIS
.. provides the foundation for a successful automation. It is crucial for identifying processes and use cases suitable for automation with focus on business value and a secure and scalable architecture.
Process Mining can optionally be used for a holistic view on your processes.
STEP 1: DISCOVERY + ANALYSIS
.. provides the foundation for a successful automation. It is crucial for identifying processes and use cases suitable for automation with focus on business value and a secure and scalable architecture.
Process Mining can optionally be used for a holistic view on your processes.
STEP 2: AUTOMATION
.. is all about applying the right tools and architecture in an incremental design-build-deploy cycle to create a tailored automation solution that fit your unique requirements with measurable business impact.
RPA (Robotic Process Automation): Ideal for automating repetitive, rule-based tasks such as data entry, system updates, and file transfers. RPA is best used where structured data and stable processes are present, helping reduce manual errors and operational costs.
Agents (Intelligent Agentic Automation): AI agents, also kown as intelligent agents, are software or hardware entities that autonomously perform tasks, process data, make trustworthy decisions and interact with their environment or other agents. These agents are based on advanced algorithms and machine learning that enable them to adapt to changing conditions and constantly learn.
IDP (Intelligent Document Processing): Enables automation of document-centric tasks by extracting, classifying, and validating unstructured data from sources like PDFs, invoices, and forms. IDP can be applied in all industries and processes where large volumes of documents are processed.
API (Reusable Components): Facilitates seamless integration across systems, applications, and services. APIs are critical when e.g. multiple platforms or agents need to exchange data securly and in real-time, enabling end-to-end automation and enhanced digital experiences.
Each of these tools can be deployed individually or in combination, depending on the complexity and nature of your processes. The result is a streamlined, intelligent automation solution that enhances productivity, reduces costs, and improves overall operational agility.
STEP 2: AUTOMATION
.. is all about applying the right tools and architecture in an incremental design-build-deploy cycle to create a tailored automation solution that fit your unique requirements with measurable business impact.
RPA (Robotic Process Automation): Ideal for automating repetitive, rule-based tasks such as data entry, system updates, and file transfers. RPA is best used where structured data and stable processes are present, helping reduce manual errors and operational costs.
Agents (Intelligent Agentic Automation): AI agents, also kown as intelligent agents, are software or hardware entities that autonomously perform tasks, process data, make trustworthy decisions and interact with their environment or other agents. These agents are based on advanced algorithms and machine learning that enable them to adapt to changing conditions and constantly learn.
IDP (Intelligent Document Processing): Enables automation of document-centric tasks by extracting, classifying, and validating unstructured data from sources like PDFs, invoices, and forms. IDP can be applied in all industries and processes where large volumes of documents are processed.
API (Reusable Components): Facilitates seamless integration across systems, applications, and services. APIs are critical when e.g. multiple platforms or agents need to exchange data securly and in real-time, enabling end-to-end automation and enhanced digital experiences.
Each of these tools can be deployed individually or in combination, depending on the complexity and nature of your processes. The result is a streamlined, intelligent automation solution that enhances productivity, reduces costs, and improves overall operational agility.
STEP 3: SCALE + SUSTAIN
To roll out intelligent automation sustainably and securely in the company, it is important to scale effectively via value-creating use cases and to establish an architecture and governance that takes into account the “pay as you go” license models on the one hand and keeps pace with the rapidly changing environment on the other.
STEP 3: SCALE + SUSTAIN
To roll out intelligent automation sustainably and securely in the company, it is important to scale effectively via value-creating use cases and to establish an architecture and governance that takes into account the “pay as you go” license models on the one hand and keeps pace with the rapidly changing environment on the other.
