2025 was the year AI transitioned from a somewhat novel concept to a widely used tool. Today, over 65% of people worldwide use AI to facilitate their daily tasks. In the workplace, AI enables data-driven decision-making while automating processes to enhance productivity.
As AI adoption continues to grow, business leaders must ensure that their employees are leveraging AI effectively. Leveraging AI effectively requires users to understand where AI creates value, where it doesn’t, and how to use AI tools strategically. From here on out, an AI-aware workforce won’t cut it. AI fluency is the new gold standard.
Today, 78% of businesses use AI, but only 27% of employees report receiving AI training at work. Unfortunately, even the minority of organizations investing in workplace AI training programs are falling short.
L&D teams often treat AI as more or less self-explanatory or self-teaching, so they neglect to invest in developing training initiatives to the same degree as they do for other areas of workplace learning.
So, AI training doesn’t become embedded into workflows for hands-on experience and contextual learning, and it’s not personalized for heightened engagement. Without this enmeshment, there’s no follow-through or real-life reinforcement, and there’s rarely performance analytics for tracking performance or growth.
Ultimately, making AI fluency stick takes contextual, in-flow guidance, microlearning, and AI-powered help.
In this article, we will explore why AI fluency is essential for the modern workforce, demonstrate how it can transform an enterprise, and provide best practices to empower teams to embrace AI fluency.
The Importance of an AI Fluent Workforce
According to our State of Digital Transformation 2026 report, 95% of organizations invested in AI-centric transformation projects in 2025 and 75% of enterprise leaders rank AI as their top technology priority heading into 2026.
In order to realize business outcomes from these investments, every employee must have a solid understanding of the various ways they can utilize AI inside and outside of the workplace, how it applies to their role, and the AI tools they have access to through corporate licenses. In addition to this understanding, AI fluency requires users to actually use it in ways relevant to their roles.
This means AI fluency will look different for different employees and teams, because the way employees use AI depends on their own day-to-day responsibilities, their individual painpoints, which areas need the most automation, and what would move the needle on achieving ROI and other goals.
Organizations with employees who have higher-than-average AI fluency are more likely to:
- Foster a culture of innovation and creativity: reducing tedious busywork empowers employees to conserve their mental energy for complex problem-solving and brainstorming.
- Have a more productive workforce: A PwC report shows that revenue growth in AI-inclined industries has just about quadrupled since 2022.
- Improve employee experience: AI fluency helps employees build confidence and enables them to spend more time on the more fulfilling aspects of their roles.
What AI Fluency Looks Like in an Enterprise Environment
In complex enterprise environments, use cases for AI tools vary depending on an employee’s individual role and responsibilities. AI-fluent employees can identify the most valuable opportunities for AI use in their own roles, using AI to boost their productivity, enhance the accuracy of their actions, and refine their decision-making processes. They also know when to trust, verify, and avoid AI responses or guidance.
Here are some examples of AI fluency in different roles:
- Human resources business partners use AI to generate onboarding checklists, which are surfaced in Workday via Whatfix.
- Sales managers use AI to summarize pipeline trends and then embed the summary into Salesforce pages.
- Procurement teams utilize AI agents to review renewals and set reminders using Whatfix Pop-ups that appear before deadlines.
- New hires get AI-driven “explain this page” guidance directly in SAP or Oracle.
The Difference Between “AI Training” and “AI Fluency”
L&D teams know that employees are already using AI. In fact, 85% of professionals use ChatGPT at work. Leaders also recognize that it’s essential for employees to use AI tools wisely, but since it doesn’t require tech expertise, AI training is often minimal. This leads to AI familiarity, not fluency.
AI fluency stems from hands-on practice within real systems, not quick lectures or memos delivering blanket messages about what is and is not appropriate or useful.
Employees need the same level of engaging training they would for other workplace upskilling. Ideally, they should receive regular opportunities for practice and knowledge reinforcement within the apps they use every day. Even better, they can experiment with AI tools within safe sandbox environments that won’t impact live data.
Whatfix is uniquely positioned to facilitate AI fluency because it enables embedded AI practice environments. Its guided flows, automation, and contextual help give employees the support they need to learn right inside enterprise applications.
11 Ways to Enable Employees with Hands-On Training to Improve AI Fluency
Coming to terms with the necessity of AI fluency is one thing, but enabling employees to achieve it is another altogether. It can be tough to know where to start.
Here are some best practices to follow for supporting employees through their journey to AI fluency:
1. Provide Hands-On Training Experiences for Contextual, Role-Based AI Training
Hands-on training is essential for higher knowledge retention and full fluency. Use AI to turn your company’s internal knowledge (policies, SOPs, product notes, training docs) into personalized learning paths and micro-lessons that embed within real tasks and provide hands-on simulation experiences.
Utilize a hands-on training format here by delivering micro-simulations of real tasks via sandbox playgrounds and in-app guidance that highlights where AI can be used within workflows.
Whatfix DAP helps leaders create better training experiences by enabling them to incorporate AI-generated content into in-app employee onboarding journeys and then deploy Smart Tips and beacons to surface “Learn this now” micro-lessons exactly where concepts appear inside enterprise apps.
2. Embed AI Training Into Career Development & Internal Mobility Programs
Incorporate AI training into your organization’s larger professional development programming by teaching them to use AI to optimize skills assessments, development planning, and internal job mobility.
To maximize learning with hands-on training here, show them how to conduct AI-driven skills gap analyses, engage with internal job-matching workflows, and enhance their resumes and profiles with AI tools. Whatfix enables these activities by allowing leaders to build Whatfix flows inside common applications like Workday, guiding employees through updating skills, creating development plans, and applying them internally.
Whatfix also makes it easy to create and distribute task lists, ensuring that each step of the internal mobility process is completed correctly.
3. Teach Teams to Use AI for Synthesizing Feedback Into Personas & Journeys
Help employees streamline their workflows by showing them how to use AI to automatically convert customer and employee feedback into personas and journey maps. By streamlining this process, they can spend their time and brainpower on relationship management as soon as the feedback comes in.
Create an exercise where employees learn to upload anonymized feedback data, whether it’s from customer support, sales, or internal data from human resources. Then they can practice prompting AI tools to cluster the data based on behavior, themes, and direct quotes to generate ready-to-use persona cards and journey flows.
Then, employees can use Whatfix to embed persona cards directly inside Salesforce, Workday, or other products using Smart Tips. With Whatfix Beacons, you can also directly tie persona insights to relevant workflows, such as role-playing prompts for sales representatives to facilitate continuous learning opportunities.
4. Train Employees to Use AI-Assisted Analytics & Decision-Making
Provide broader coaching on AI-based data analytics and decision-making by showing employees how to ask AI directly for insights and avoid opening all of their apps and BI dashboards.
Provide hands-on training here by explaining how to craft and utilize natural-language GA4 and product analytics queries, and ask AI for funnels, trends, and forecasts. Then, have teams craft storytelling briefs based on the insights they receive.
With these briefs, employees can start using Whatfix to automate new workflows by creating behavior-based triggers for in-app nudges. For instance, if a certain feature has low adoption, generate a nudge to prompt users to complete relevant walkthroughs and other training activities.
5. Help Employees Use AI to Organize, Clean & Enrich Operational Data
AI fluency isn’t all about objective-focused activities. It can also be useful for professional administrative tasks and cleaning up digital workspaces.
Teach employees how to do this by creating an exercise where employees begin with a messy Jira, ServiceNow, Sheets, or HRIS export. Then, have them practice asking AI to make quick improvements like normalizing labels, adding dropdowns and validations, auto-classifying different items, and generating summaries or dashboards.
You can use Whatfix throughout these exercises, which include embedded step-by-step flows that sit inside applications and teach employees how to run these AI transformations themselves in real time.
6. Train Employees to Prototype Solutions & Build Internal Tools With AI
Extend AI fluency to internal development by teaching employees to use AI for rapid prototyping of internal workflows, microsites, and UX screens.
Deliver hands-on training here by having them use AI to apply style constraints for better UI, build out wireframes and copy to other instances, and quickly iterate based on stakeholder feedback.
Use Whatfix here by having leaders overlay interactive walkthroughs onto prototypes to simulate a working experience before development. Whatfix’s editor also enables mock, in-app experiences for continuous training flow testing.
7. Teach Teams to Use AI for GTM, L&D, and Change-Management Planning
Facilitate change in your organization by boosting AI fluency around go-to-market activities, learning and development, and change management. You can do this by teaching employees to run scenario-based training where AI generates plans using company documents as input.
Start by having them upload GTM, L&D, or policy documentation, and then ask AI to build various planning tools like stakeholder maps, messaging briefs, training plans, and communications templates.
Use Whatfix here for converting AI-generated plans into in-app change-management journeys and reinforcing new processes with Whatfix Pop-ups, checklists, and Smart Tips during rollout.
8. Train Teams to Use AI for Understanding Complex Systems & Processes
Help employees boost understanding and develop systems thinking by teaching them to ask AI to generate diagrams and simplified explanations of systems they use every day.
They can prompt AI to create easy-to-understand system maps, swimlanes, and approval flows, in the form of “Explain this like I’m new” guides. They can also incorporate click-through links into diagrams for connections to deeper explanations or definitions for the uber-curious.
Then, use Whatfix to embed these diagrams directly inside the system UI using Whatfix Self Help, Smart Tips, and walkthroughs. This is especially ideal for onboarding new hires into complicated tools like SAP or Salesforce.
9. Build Safe AI Practice Scenarios for Procurement & Compliance Teams
Modern procurement and compliance software includes many AI features that can be daunting for the unfamiliar. Ease team members into software proficiency here by creating application replicas for sandbox exercises and AI training.
Use Whatfix Mirror to build a mistake-proof practice environment with exercises in which AI “reads” mock contracts and flags risky data or savings opportunities. Then, have employees use these flags to identify renewal dates and pricing issues, spot risky clauses, and even draft vendor negotiation prompts. Have them work through set task lists that guide employees through your team’s standardized AI-assisted contract review workflow.
By the end of training, employees will be able to move into live procurement and compliance environments with a stronger handle on how AI can make their lives easier and boost their performance.
10. Teach Leaders & ICs to Turn Research Into Exec-Ready AI Summaries
Bridge communication gaps between highly technical teams and company leadership by showing employees how to use AI for communication translations via AI summaries.
Start by providing your teams with interview transcripts, surveys, or feedback to turn into insights. Then, have them use AI to summarize themes, generate insights about relevant risks and opportunities. From there, they should use AI to automatically convert those insights into scripts, briefs, and podcast-style audio files that executives can interact with for a more thorough understanding.
Use Whatfix Beacons here to embed insights and summaries directly inside the tools and workflows executives use to oversee their teams.
11. Create an Ongoing “AI Playground” Program to Reinforce Fluency
To enable broad, ongoing AI fluency development, use digital adoption tools and application replicas to create repeatable, continuous learning loops.
Create regular AI training opportunities with monthly team challenges for incorporating AI into workflows, build an internal “AI recipes” library, or hold cross-functional AI show-and-tell sessions.
Whatfix makes it easy to convert each winning AI recipe into in-app Whatfix training content. From there, you can publish the best examples to a Self Help Hub so anyone in the company can learn and repeat the workflow.
AI Fluency Roadmap for the Enterprise
Because each business area has unique uses for AI, building an enterprise-wide AI fluency plan can be challenging. To succeed, you’ll need to develop a strong framework for reaching your entire workforce while addressing role-specific needs.
Tools like Whatfix make this complex endeavor more feasible without sacrificing customization. Here are some key steps you can take to bring AI fluency to your entire workforce:
Phase 1: Enable
Start your workforce off on a strong footing. Audit your existing tech stack for AI features and capabilities, and invest in AI tools where additional capabilities are needed. Don’t forget to consolidate and eliminate redundancies wherever possible.
Then, establish usage policies that ensure employees use AI only when appropriate and have the necessary resources to verify AI-generated information.
If you don’t have it already, bring Whatfix into the mix here. It can sit on top of the rest of your tools to lay down guardrails and enforce those policies, training employees to comply while explaining vital context.
Phase 2: Experiment
Work with leaders on different teams and consult behavioral analytics data to understand where best to incorporate AI and where to surface training opportunities.
You can also use A/B testing and solicit plenty of feedback to ensure you can deliver highly personalized opportunities. Extend experimentation without risking impact on live data by creating application replicas in Whatfix Mirror.
Phase 3: Operationalize
Now you’re ready to put your AI fluency plans into action. Launch your AI training program, send all necessary communications, and initiate data collection to monitor company-wide progress toward AI fluency.
Use Whatfix here to embed support and guidance within workplace applications to enable continuous learning and role-specific communications for stronger knowledge retention.
Phase 4: Measure
Use benchmarks and KPIs throughout rollout and as employees engage with AI training activities. This will give leaders a constant flow of data that can be used to measure employee productivity, adoption, and satisfaction as AI fluency spreads.
Incorporate Whatfix Analytics for automatic monitoring of user behavior and clear insights to enable better decision-making as you fine-tune training initiatives.
Phase 5: Reinforce
AI fluency doesn’t come from one-and-done training. Instead, it requires continuous learning, incorporated into workplace apps, and be sure to update them as features and employee needs evolve.
Whatfix enables ongoing delivery of in-app microlearning that helps managers stay abreast of employee progress and emerging AI trends. With easy content updates and powerful user behavior analytics, organizations can use Whatfix to continuously adapt AI trainings and keep up with change.
Why Whatfix Is the All-in-One Platform to Build AI-Fluent Teams
AI becomes most impactful when paired with contextual guidance, embedded learning, and repeatable workflows. Real fluency happens inside applications, not in decks.
The Whatfix DAP helps enterprises develop company-wide AI fluency by delivering in-app support based on role-specific needs and reinforcing positive behavior with Pop-Ups, Smart-Tips, and Task Lists.
Whatfix Analytics facilitates AI rollout and adoption across your tech stack by tracking employee AI use, identifying friction points, and continuously improving and personalizing in-app training opportunities.
Ready to explore how Whatfix can enhance AI fluency for your business? Request a demo today!
