The corporate learning landscape is undergoing a seismic shift, moving beyond traditional education and credentialing to embrace a more agile and integrated approach. This transformation is spearheaded by the introduction of "Dynamic Enablement," a concept detailed in the recently released "Definitive Guide to Corporate Learning" by Josh Bersin. This new framework redefines the role of Learning and Development (L&D) departments, empowering them to leverage their expertise and internal knowledge repositories to provide employees with immediate, context-aware support directly within their workflows. This evolution, amplified by the rapid advancements in Artificial Intelligence (AI), is rapidly reshaping the vendor landscape and presenting organizations with a plethora of new solutions.
The impetus behind this paradigm shift stems from a growing recognition that learning is not a discrete event but an ongoing process deeply interwoven with daily tasks. The traditional model of scheduled training sessions and formal certifications is increasingly being supplemented, and in some cases supplanted, by the need for just-in-time information, problem-solving assistance, and expert connection. As articulated in the guide, "Dynamic Enablement" encompasses a broad spectrum of support, from answering immediate questions and delving into specific topics to facilitating connections with subject matter experts and fostering continuous skill development. This integrated approach acknowledges that employees are "enabled" not just through formal learning but through the continuous support systems available to them throughout their workday, including peers, managers, and a wealth of internal and external resources.
The AI Catalyst: Accelerating the Shift to Dynamic Enablement
The recent publication of the "Definitive Guide to Corporate Learning" by Josh Bersin has coincided with a swift market response, with numerous vendors "lurching" – a term used to describe rapid and decisive movement – towards solutions that align with the principles of Dynamic Enablement. This surge in activity is attributed to a significant market demand for more responsive and integrated learning solutions, a demand that AI is uniquely positioned to fulfill. The accessibility and power of AI technologies, particularly generative AI and large language models, have democratized the creation and delivery of personalized learning experiences, making the vision of Dynamic Enablement more attainable than ever before.
The guide highlights that within weeks of its release, the industry began to witness a flurry of product development and strategic pivots by vendors aiming to capture this burgeoning market. This rapid evolution underscores the urgency and scale of the need for systems that can deliver effective enablement tailored to the diverse requirements of the modern workforce. The integration of AI is not merely an enhancement but a fundamental enabler of this new approach, facilitating dynamic content generation, personalized feedback loops, and intelligent access to information.
Defining the Enablement Experience: A Multifaceted Approach
Delivering an effective enablement experience requires a nuanced understanding of employee needs and the various paradigms through which support can be provided. The Josh Bersin guide posits that when an employee requires assistance, the ideal scenario involves a blend of all available resources. This encompasses self-service knowledge bases, AI-driven chatbots and virtual assistants, peer-to-peer learning networks, direct access to subject matter experts, and targeted, on-demand learning modules. The complexity lies in tailoring these approaches to specific roles and contexts. Enabling an Uber driver, for instance, will necessitate different tools and content than supporting a middle manager, a software engineer, a sales representative, or a manufacturing worker. Consequently, the primary responsibility of HR and L&D departments is to architect and implement an "enablement platform" that seamlessly integrates with these diverse use cases.
The current market for these solutions is characterized by a frenetic pace of innovation. The guide advises organizations to approach this rapidly evolving space with a degree of caution, urging them to thoroughly evaluate emerging solutions before becoming overly committed to a single vendor. This "lurching" moment signifies a period of intense competition and rapid development, where discerning the most effective and sustainable solutions will be critical for success.
Key Players in the Dynamic Enablement Ecosystem
The landscape of Dynamic Enablement is populated by a diverse array of technology providers, each offering unique strengths and approaches. Several prominent examples illustrate the breadth and depth of innovation in this space:
Arist: Pioneering Mobile-First and Autonomous Learning
Arist, recognized as a partner in many HR training and enablement programs, has emerged as a significant player in the mobile-first enablement arena. The company excels at dynamically generating content and adeptly chunking complex training materials – from pharmaceutical sales and regulatory compliance to technical subjects – for mobile delivery. Its founders, described as exceptionally creative technologists, have rapidly expanded Arist’s capabilities into the end-to-end enablement market.
A notable advancement from Arist is its "AI Performance Consultant." This tool can interview operational staff, identify performance gaps, and subsequently develop targeted content to address these issues. The guide posits this as a significant stride toward "autonomous corporate learning," where AI agents proactively identify and resolve problems, akin to self-driving vehicles. Organizations that have utilized Arist for several years attest to its value and recommend it for consideration.
Sana (Galileo Learn): AI-Native Prowess and Integrated Intelligence
Sana, now a Workday company, is distinguished as one of the most advanced AI-native platforms observed in the market. Founded in 2016 by Joel Hellermark, with an early focus on revolutionizing learning through AI, Sana integrated OpenAI technology even before the widespread adoption of ChatGPT. This deep AI foundation enabled the development of an end-to-end learning platform, accessible through Galileo on a per-user basis.
The integration of the Sana Agent platform further enhances its capabilities. This agent functions as a dynamic learning, knowledge, and AI agent development tool. With the upcoming launch of Sana Enterprise, users will be able to leverage the Sana Agent to directly access and interact with Workday data and transactions, solidifying its position as a robust dynamic enablement platform.
Seismic: Leading the Charge in Sales Enablement
Seismic stands as a leader in the substantial sales enablement market, a sector valued at $4-6 billion and experiencing double-digit growth. This market addresses the critical need for organizations to equip their sales teams with essential tools, such as pricing guides, product launch materials, videos, and comprehensive product knowledge, including competitive intelligence and sales strategies.
While Seismic is a prominent player, it operates within a competitive field that includes other notable vendors like Allego, Mindtickle, Highspot, and Showpad. The guide notes the absence of Salesforce from this specific segment despite its extensive Agentforce initiatives, and also acknowledges Arist’s presence in this space, indicating a diverse range of options for businesses seeking sales enablement solutions.
Docebo: Next-Generation LMS with AI Integration
Docebo, one of the few publicly traded Learning Management System (LMS) companies, has aggressively pursued AI-native learning and enablement. The company has introduced AI tutors, AI-native authoring tools, and templated AI assessments, all designed to complement its established business in revenue-generating training and corporate L&D.
A recent strategic move by Docebo was the acquisition of 365 Talents, enhancing its offering with a comprehensive AI-driven skills intelligence system. This system allows for the identification of skills within content, the creation of a company-wide skills taxonomy, and the deployment of learning initiatives aligned with identified skill needs. Prominent European organizations like SNCF and Airbus utilize Docebo, underscoring its effectiveness in addressing specific enablement sub-markets, such as the need for targeted learning on specific topics.
LinkedIn Learning: AI Coaching for Skill Development
LinkedIn Learning has solidified its position as a trusted provider for L&D leaders and a significant corporate content provider. The recent introduction of LinkedIn Learning AI Coaching marks a significant step into the dynamic enablement space. This feature provides users with an AI-powered "coach" to assist in their learning journeys.
The AI Coaching functionality enables users to discover relevant content and engage in AI-driven role-playing scenarios. These simulations facilitate practice, interaction, and confidence-building, offering a "heavy touch" approach to enablement. This is particularly valuable for leaders, new managers, sales professionals, and individuals new to a specific domain. While not as customizable as some other platforms, LinkedIn Learning is gradually integrating dynamic enablement capabilities into its offerings.
Uplimit: Performance Support Through Practice-Based Learning
Uplimit positions itself as the crucial performance support AI missing from many L&D technology stacks. The platform is built on the scientific understanding that learning is most effective through doing and practicing, rather than passive content consumption, debunking the myth of fixed learning styles.
Uplimit focuses on technical and sales training, areas where skills are best developed through hands-on practice. The platform guides learners through real-world projects and AI-powered role-plays, delivering personalized feedback at scale. This iterative approach allows learners to build skills by actively engaging with the material and receiving expert guidance. Instructors and subject matter experts can evaluate exercises and support a large number of learners through the AI. For L&D teams managing cohort-based programs, Uplimit offers scalable personalized coaching for communication, scheduling, and just-in-time support, without the need for proportional headcount increases. Fast-growing companies like Databricks utilize Uplimit for its effectiveness in developing critical skills.
Degreed: AI-Native Content Generation within LXP Framework
Degreed, a pioneer in the Learning Experience Platform (LXP) space, has long championed performance enablement. The platform has now integrated extensive AI-native content generation capabilities. Degreed’s next-generation platform, Maestro Studio, empowers L&D and sales enablement teams to create custom AI-based experiences, including coaches, simulations, and role-plays, without the necessity of constantly shipping new courses as information changes.
Within existing Degreed pathways, Maestro acts as a contextual coach and tutor. It analyzes a learner’s skill profile, past learning history, and progress within a pathway to offer targeted suggestions and feedback. The platform is also incorporating adaptive assessments and coaching, providing employees with real-time support as they navigate their learning journeys.
Perceptyx: Integrating Employee Feedback with AI Coaching
Perceptyx, a leader in employee engagement surveys, has expanded its capabilities through the acquisition of Lyceum, a company specializing in building AI tutors from existing content. This integration aims to provide employees and leaders with dynamic enablement tools to address employee-related issues.
For instance, if an engagement survey reveals a manager is exhibiting micromanagement tendencies, the data can directly inform their coaching needs within Perceptyx. An AI agent can then prompt the manager with questions like "what could I do better?" and access the company’s leadership content to provide personalized coaching and development. The broader employee experience and survey market, traditionally dominated by companies like Gallup, Glint, and Qualtrics, is increasingly converging with enablement platforms. These systems, once focused on feedback and recognition, are evolving into front doors for enablement, raising questions about whether content will be sourced from L&D platforms or developed within these integrated systems.
Disprz: AI-Native Platform for Comprehensive Enablement
Disprz offers an AI-native learning platform designed for end-to-end solutions across onboarding, performance enablement, upskilling, reskilling, mobility, and compliance training. The platform is built with an "impact-first" philosophy, ensuring that all learning initiatives are directly linked to measurable business outcomes, rather than solely focusing on completion rates.
A key differentiator for Disprz is its combination of dynamic content development, advanced analytics, and automated performance coaching. The company has established a strong presence in India, Southeast Asia, and the Middle East, and is actively expanding into North America and Europe, making it a vendor to watch in the evolving enablement market.
Cornerstone: Skills-Based Learning and Evolving AI Integration
Cornerstone provides a suite of skills-based learning and talent products aimed at fostering workforce agility and sustained performance amidst evolving work designs and roles. The platform enhances learning, development, and performance management through personalized, multidimensional experiences aligned with business and individual goals. The upcoming rollout of Cornerstone Galaxy, its new skills-based talent and learning system, is anticipated to introduce significant new tools and features.
For many years, Cornerstone has offered microlearning content, dynamic content development, job aids, preceptor training tools, and a broad network of partners that integrate learning into the workflow. The forthcoming release of Galaxy is expected to fully embrace AI-native learning, with a major announcement regarding AI-driven content anticipated soon.
360Learning: Collaborative Learning and Democratized Content Creation
360Learning operates on the principle that "everyone is a teacher," offering a collaborative learning platform where any expert – from sales professionals to IT specialists – can create courses, share content, and disseminate knowledge without requiring extensive instructional design expertise.
The guide notes that while AI-first L&D teams were initially hesitant about subject matter experts creating content, the results have consistently exceeded expectations, leading to increased organizational agility and improved performance. The market for knowledge sharing through democratized content authoring is rapidly expanding, with platforms like Syllog emerging to provide rapid content authoring and personalized training programs for specific industries such as manufacturing, engineering, banking, insurance, and technology.
The Frontline Enablement Market: Specialized Solutions
Beyond the broader enablement landscape, a specialized market is emerging for frontline workers. These solutions are specifically designed to address the unique training and support needs of employees in operational roles.
Axonify: Brain Science and AI for Frontline Training
Axonify, a recognized pioneer in this space, utilizes principles of brain science and AI to deliver frontline enablement. The platform adapts training to each employee’s role and existing knowledge, reinforcing critical behaviors through spaced repetition. This approach ensures that learning is both personalized and effective for frontline teams.
Kahuna: Operational Training and Skills Validation
Kahuna focuses on operational training and in-depth skills validation, with a strong presence in industries such as oil and gas, energy, manufacturing, and distribution. The company’s recent recognition as the first frontline skills management Workday Gold Innovation Partner highlights its ability to enable workers in recertifying and upskilling their competencies.
Unique Enablement Providers: Niche AI-Powered Solutions
The dynamic enablement ecosystem is also characterized by the emergence of niche AI-powered solutions tailored to highly specific purposes.
IMMERSE: Enhancing Language Fluency and Communication Confidence
IMMERSE offers an AI-powered performance platform focused on language fluency. Moving beyond traditional proficiency certifications, IMMERSE leverages AI and live enablement experiences to boost communication confidence across different languages. This addresses a critical need for clear and effective communication in a globalized workforce.
Feedly: Translating Market Signals into Learning Moments
The Chalhoub Group, a luxury retail experience creator in the Middle East, has integrated Feedly into its AI-enabled L&D tech stack. This allows the organization to translate external market signals into continuous, role-relevant learning moments, ensuring employees remain current and capable of making informed real-time decisions.
Glean: AI-Powered Search and Content Discovery
Glean, an AI-powered search engine, has evolved to provide real-time content discovery and access through platforms like Microsoft Teams and Slack. While positioning itself as a "work platform," Glean’s capabilities extend to being an ultimate enablement platform by ensuring employees can easily find the information and resources they need, when they need them.
The Future of Enablement: A Collapsing Market Landscape
The pervasive integration of AI is leading to a fundamental restructuring of traditional market categories within the HR technology space. The lines between Learning Management Systems (LMS), Learning Experience Platforms (LXP), Microlearning solutions, and Employee Experience Platforms (EXP) are blurring as these systems increasingly converge around the concept of Dynamic Enablement.
The guide emphasizes that as AI-native content generation becomes more accessible, solutions are increasingly becoming use-case specific. The enablement needs of an Uber driver, for instance, are vastly different from those of a software engineer, who might benefit more from integrations with platforms like GitHub or Atlassian. This trend suggests a future where platforms like Microsoft Viva, while consolidating HR portals, will need to evolve beyond their current offerings to incorporate more dynamic and intelligent functionalities, such as the capabilities of MS Copilot.
Dynamic Enablement represents a holistic approach that harmonizes expert and validated internal content, external resources, and thoughtfully designed experiences tailored to specific employee roles. In the evolving landscape of enterprise AI, where organizations are increasingly becoming "builders" rather than passive "buyers," a thorough examination and experimental adoption of these dynamic enablement solutions are paramount.
The report concludes by offering guidance for navigating this complex market. Organizations can leverage AI tools like Galileo to gain insights into the enablement market or seek expert consultation to better understand and implement these transformative solutions. The rapid advancements in AI and the evolving demands of the modern workforce are undeniably ushering in a new era for corporate learning, one defined by agility, personalization, and continuous support.
