WalkMe has launched AI Authoring and AI Insights, two agentic AI capabilities that let digital adoption professionals build in-app guidance and query usage analytics through plain-language conversation [1][2]. The release targets a well-documented enterprise priority: 43.3% of AI decision-makers (n=820) cite difficulty measuring business value as a top adoption challenge [3], and 55.1% measure AI success by productivity improvements [4]. By embedding conversational AI into the digital adoption workflow, WalkMe positions itself inside a market projected to reach $181.3B in 2026 under the base scenario [5].
What Is Covered in This Article:
- Enterprise ROI measurement priorities in AI initiatives [3][4]
- AI Authoring: conversational in-app guidance creation [1][2]
- AI Insights: natural-language analytics and dashboard persistence [2][3]
- SaaS-embedded AI deployment trends [3]
- AI platforms market sizing and WalkMe’s strategic positioning [5]
The News: WalkMe introduced two agentic AI capabilities as part of its Q3 2026 release. AI Authoring allows users to build and customize in-app guidance by describing a business problem in plain language, with WalkMe generating a live preview that includes guidance, segmentation logic, copy, and design [1]. The workflow follows four steps: discuss the approach, edit via live preview, add rules and segmentation through plain-language descriptions, and approve the final build, with human confirmation required at each stage [2]. AI Insights lets users query application usage and guidance performance through conversational questions, returning answers with tailored charts or tables and a clear data trail [2]. Charts save directly as dashboard widgets, converting one-time discoveries into persistent monitoring tools without manual report-building [3]. WalkMe is hosting a customer-exclusive Deep Dive webinar on September 9 and a public session on September 14 [3].
WalkMe Turns Digital Adoption into a Conversational AI Workflow with AI Authoring and AI Insights
Analyst Take: WalkMe’s dual release responds to a measurable enterprise priority: connecting AI investment to documented business outcomes. With 43.3% of AI decision-makers (n=820) citing difficulty measuring business value as a top challenge [3], the demand for tools that surface adoption ROI conversationally is well-established. AI Authoring and AI Insights are a direct product response to that demand.
Productivity as the Primary Success Metric Creates a Clear Target
Productivity improvements are the dominant yardstick for enterprise AI programs. Futurum research shows 55.1% of organizations (n=820) measure AI success by productivity improvements [4], ahead of cost savings (50.6%) and customer satisfaction (40.2%). WalkMe’s value proposition maps directly onto that benchmark: faster guidance creation through AI Authoring compresses the cycle from problem identification to deployed solution, while AI Insights surfaces whether those solutions are actually changing user behavior. Together, the two capabilities give digital adoption professionals a closed loop—spot an issue, build a fix, and verify the outcome—all within a single conversational interface. That loop is what organizations need to move from anecdotal productivity claims to data-backed ROI narratives they can present to leadership.
SaaS-Embedded AI Deployment Validates WalkMe’s Architectural Approach
WalkMe’s decision to embed agentic AI directly inside the digital adoption workflow aligns with how enterprises already consume AI in production. Futurum data shows 42.7% of organizations (n=736) deploy generative AI in SaaS-embedded environments, defined as AI integrated within an existing application such as Salesforce Agentforce or ServiceNow [3]. WalkMe operates in exactly that layer, sitting on top of enterprise applications and shaping how employees interact with them. By making AI Authoring and AI Insights native to that workflow, WalkMe reduces adoption friction for the builders who use its platform daily. The four-step AI Authoring workflow—from problem description through live preview to segmentation logic and final approval [2]—keeps human judgment central while streamlining the technical execution that previously required specialized skills for guidance deployment.
Market Scale Reinforces the Strategic Opportunity
The AI platforms market is projected to reach $181.3B in 2026 under the base scenario [5], with 65% year-over-year growth underscoring the pace of enterprise investment. WalkMe’s move to make its entire authoring and analytics workflow conversational is a positioning play as much as a product update. Digital adoption platforms that can demonstrate measurable software utilization gains stand to earn a defensible role in enterprise AI stacks. AI Insights’ ability to save charts directly as dashboard widgets [3] is a notable design choice: it converts ephemeral conversational discoveries into persistent operational artifacts, increasing the platform’s day-to-day utility and creating a cumulative record of adoption outcomes that compounds over time.
What to Watch:
- Builder adoption rate: how quickly non-technical digital adoption professionals shift to AI Authoring for guidance workflows across customer accounts [1]
- ROI attribution clarity: whether AI Insights’ data trail feature satisfies finance and IT stakeholders who require auditable proof of software utilization gains [2]
- Competitive response: how rival digital adoption and SaaS-embedded AI vendors adjust their analytics and authoring capabilities in Q4 2026 [3]
- Webinar conversion signal: whether the September 9 and September 14 sessions translate into measurable expansion pipeline among existing and prospective customers [3]
- Productivity benchmark validation: whether customer case studies emerging in Q4 2026 confirm alignment with the 55.1% of organizations that measure AI success by productivity improvements [4]
See the complete details on the WalkMe website.
Sources
- AI Authoring & AI Insights: a new conversational way to build and measure in WalkMe, Walkme, August 2026
- 1H 2026 AI Platforms Market Sizing & Five-Year Forecast, Futurum Research, May 2026
- 1H 2026 AI Platforms Decision Maker Survey Report, Futurum Research, March 2026
- 2H 2026 Enterprise Applications Decision Maker Survey Report, Futurum Research, August 2026
Declaration of generative AI and AI-assisted technologies in the writing process: This content has been generated with the support of artificial intelligence technologies. Due to the fast pace of content creation and the continuous evolution of data and information, The Futurum Group and its analysts strive to ensure the accuracy and factual integrity of the information presented. However, the opinions and interpretations expressed in this content reflect those of the individual author/analyst. The Futurum Group makes no guarantees regarding the completeness, accuracy, or reliability of any information contained herein. Readers are encouraged to verify facts independently and consult relevant sources for further clarification.
Disclosure: Futurum is a research and advisory firm that engages or has engaged in research, analysis, and advisory services with many technology companies, including those mentioned in this article. The author does not hold any equity positions with any company mentioned in this article.
Analysis and opinions expressed herein are specific to the analyst individually and data and other information that might have been provided for validation, not those of Futurum as a whole.
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Author Information
Keith Kirkpatrick is VP & Research Director, Enterprise Software & Digital Workflows for The Futurum Group. Keith has over 25 years of experience in research, marketing, and consulting-based fields.
He has authored in-depth reports and market forecast studies covering artificial intelligence, biometrics, data analytics, robotics, high performance computing, and quantum computing, with a specific focus on the use of these technologies within large enterprise organizations and SMBs. He has also established strong working relationships with the international technology vendor community and is a frequent speaker at industry conferences and events.
In his career as a financial and technology journalist he has written for national and trade publications, including BusinessWeek, CNBC.com, Investment Dealers’ Digest, The Red Herring, The Communications of the ACM, and Mobile Computing & Communications, among others.
He is a member of the Association of Independent Information Professionals (AIIP).
Keith holds dual Bachelor of Arts degrees in Magazine Journalism and Sociology from Syracuse University.
