M-Files has unveiled the M-Files Knowledge Work Automation Capability Maturity Model (CMM) and introduced a toolkit to help organizations assess where they are in their digital transformation journey for content and information management. The toolkit, which helps companies create a roadmap for a best-in-class digitalization strategy utilizing automation, includes:

• The M-Files Knowledge Work Automation Capability Maturity Model: Based on the CMM framework developed by the Software Engineering Institute at Carnegie Mellon University, the M-Files Knowledge Work Automation CMM is specific to knowledge work automation and generative AI. The framework leverages M-Files' expertise in knowledge work automation to help companies implement technologies and create a more centralized approach to content and information management. The model evaluates a company's maturity based on five core competencies: information strategy, governance and resourcing, technology and IT infrastructure, level of automation and end-user capabilities.
• Commissioned study conducted by Forrester, "Unlocking Efficiency: The Inevitable Rise of Knowledge Work Automation": M-Files commissioned Forrester Consulting to evaluate the current state of strategic maturity of content and information management at companies around the globe. Forrester conducted an online survey with 415 global IT and business leaders involved in strategic decisions relating to their company's enterprise content and information management strategy. The survey found that while companies are moving in the right direction with their adoption of automation for everything from ad hoc tasks to complex workflows and knowledge work, most companies have a way to go toward optimizing enterprise content and information management. 
• Digital Maturity Assessment Tool, Developed by Forrester: M-Files commissioned Forrester Consulting to develop a self-assessment tool that provides customized results and recommendations to help organizations improve their content and information management practices. Organizations receive a score indicating their maturity level from beginner to advanced. Based on these scores, organizations can then identify their position on the M-Files Knowledge Work Automation CMM mentioned above and implement recommendations for adopting automation and artificial intelligence into their knowledge work processes.

"Knowledge work is entering a new era and to succeed, companies need to improve their maturity and automate mundane administrative tasks within their organization," said Antti Nivala, founder and CEO, M-Files. "To accomplish this, they must first understand where their organization sits across several focus areas and address the fundamentals to truly unlock the power of GenAI. The M-Files Knowledge Work Automation CMM and Digital Maturity Assessment Tool provide organizations with a comprehensive understanding of where they fall in their digital transformation journey for content and information management. This allows them to establish a best-in-class strategy to enable employees to work smarter through automation and generative AI."

According to the Forrester study, "The volume of information makes it impossible to scale modern work without increasing the reliance on automation and exploring where AI can provide relief from repetitive work."

According to the Forester study, "Companies that get knowledge work automation right are expected to outperform those that don't with increased productivity, employee satisfaction and competitive differentiation. Companies looking to increase the maturity of their information and their content management approaches are moving toward automating increasingly complex activities. Knowledge work automation is the future of employee efficiency. The most mature companies are seeing benefits of increasing their implementation of automation for advanced tasks."

To read the full Forrester study, visit https://www.m-files.com/m-files-platform/capability-maturity-model/.

To access the Digital Maturity Assessment Tool and determine your organization's maturity level relative to digital transformation, visit https://thoughtleadership.forrester.com/go/m-files/content-management-maturity/?lang=en-us.

The M-Files knowledge work automation platform automates the entire process from document creation and management to workflow automation, external collaboration, enterprise search, security, compliance and audit trail. M-Files' GenAI assistant, M-Files Aino, enables real-time, context-aware assistance to process vast amounts of information quickly, get answers to complex questions and arrive at conclusions faster. Its multilingual capabilities support global enterprises by summarizing documents and answering questions in any language, saving these insights as searchable metadata.

The M-Files metadata foundation drives superior AI experiences by creating a unique, customer-specific information model that surrounds all content, ensuring safe and high-quality results. With M-Files, organizations automatically get the mandatory enablers for successful AI deployment: connectivity, confidentiality and curation.

• Connectivity: M-Files seamlessly integrates data from all key storage systems and software solutions and automatically classifies it, providing AI with access to the high-quality data inputs it needs to deliver real value.
• Confidentiality: M-Files prioritizes information security, ensuring that only authorized users access sensitive data. Its advanced metadata tagging enables granular access controls, meeting the needs of security-conscious clients.
• Curation: M-Files ensures AI uses relevant and current information with automated version control, content governance and precise business context. Placing content in context improves search capabilities and AIs ability to deliver more accurate results compared to traditional approaches.

To learn more about the M-Files knowledge work automation capability maturity model, visit https://www.m-files.com/m-files-platform/capability-maturity-model/.