AI-driven, low-code digital process automation, content efficiency and compliance solutions

Digital transformation and paperless operations

Following an unpredictable and tough year, the organizations’ success in 2021 will be shaped by their ability to do a better job of operationalizing digital transformation initiatives and optimizing costs through process digitization and automation.

What we are good at

1. AI-driven Digital Process Automation

Organizations willing to embrace process digitization and automation in 2021 need to fully take advantage of innovative technologies such as AI and ML as part of their digital transformation initiatives. By matching traditional process automation with AI (text intelligence and analysis, automatic image/ document tagging and categorization, content creation and translation, video and audio transcription, auto-tagging and metadata creation, etc.) there is an increased outcome with a greater efficiency of enterprise automation efforts.

2. Metadata-driven Digital Process Automation

One trap that several organizations fall into when planning for digital process automation is to diligently analyze the as-is processes and designing the future-state while having no focus on the metadata. This creates significant challenges during the automation project, as for most organizations, much of the metadata that processes consume exist in varying systems and unsynchronized data silos.

Metadata is critical in process automation, so, an automation projects must have a primary focus on metadata quality, data modeling, master data management (MDM), metadata (business) driven automation, and data integration.

3. Low-Code Digital Process Automation

Modern low-code platforms with a special focus on the user experience (user-firiendly, simple to use) will allow organizations to orchestrate their business processes fast and effective with digital workflows and integrations that can be built and launched quickly to connect users, applications and data across distributed entities. This will speed time to market through increased development velocity and decreased operational complexity.

Modern automation is powered by users’ ability to use low-code platforms to build, test and launch new digital processes. These users (power users, admins) can have little or no coding experience because low code gives them the flexibility they need with clicks and configurations.

However, low code by itself is not enough as functionalities must complement speed. Without the right level of functionalities, low code can even increase problems by creating even more disconnected applications. To prevent this, the low code needs to be mature, powerful, with a strong foundation (content, metadata, business rules, process orchestration) to be able to properly orchestrate data and business processes.

4. CSP / DPA / BPM / RPA – what’s the best?

Application leaders often struggle to choose appropriate process automation technology due to a lack of clear understanding of the scope of automation and overlapping functionality offered by content services platforms (CSP), business process management suites (BPM), and robotic process automation (RPA) solutions.

Application leaders responsible for application architecture and looking to manage the complete business process life cycle should:

  • Automate long-running processes focused on data, that require complex orchestration of unstructured workflows across humans, applications and systems by using BPMs.
  • Automate document-centric business processes that require complex orchestration of structured and unstructured workflows across humans, applications and systems by using a BPM enabled Content Service Platforms; Metadata management and Content Efficiency and Compliance should be considered as part of these processes
  • Drive hyper-automation of business operations by leveraging complementary capabilities or platforms such as RPA, process mining and machine learning (ML).

Although RPA and DPA offer different value propositions, they are also highly complementary. Together they can tackle comprehensive human and system-to-system activities in a business process. RPA has its own relevant value, but, in the long run, cannot deliver the full outcome without DPA and AI/ML.

Also, by having the Content Services and Business Process Management / Digital Process Automation capabilities as part of the same tooling (vs. requiring separate products) offers several advantages related with total costs (of ownership but also total cost of the business processes) and productivity / efficiency

5. The Cloud at your choice

Whether you prefer Azure, AWS, Google Cloud Platform, our solutions are designed to work optimally in any environment.


We help top businesses around the world on their digital transformation journey to accelerate cost-efficiency and time to market by rethinking operations and processes. By putting together our own software platforms, our cloud computing capabilities and a comprehensive range of professional services, we deliver an unique solution portfolio.

We’re here to help

With industry expertise in financial services, insurance, government, healthcare and more, we’re ready to help you exceed your potential. Fill out the contact form and we’ll get back to you.

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