The Section AI Use Case Coach, a new feature within Section’s ProfAI platform, has been launched to help knowledge workers apply AI to meaningful, high-value work. This AI agent offers personalized, role-specific guidance for discovering, building and sharing AI use cases filling what Section terms the “use case desert,” where many employees have tools but lack direction on real business impact.
Section has unveiled the ProfAI Use Case Coach, a new and transformative feature within its ProfAI platform aimed at solving one of the most persistent challenges facing enterprises today: turning AI potential into meaningful, measurable business impact. The Use Case Coach functions as a personalized AI agent that helps knowledge workers discover, design, and apply AI-driven workflows aligned with their specific roles and organizational needs.
The launch directly addresses what Section calls the “use case desert”—a widespread gap where employees have access to advanced AI tools but lack the guidance, context, or imagination to apply them to high-value work. By offering structured coaching, real-time guidance, and use-case sharing, Section aims to unlock AI’s full potential inside the enterprise and help organizations move beyond basic, low-impact tasks toward strategic AI-driven transformation.
The Enterprise “Use Case Desert”: Why AI ROI Is Still Low
Enterprises around the world have invested heavily in AI technologies, models, and ecosystems, but very few have managed to convert that investment into tangible ROI. Section’s research reveals a stark reality: only about 12% of organizations are using AI meaningfully within daily business operations. The remaining majority remain stuck at the experimentation stage—not because of lack of tools but due to lack of direction.
According to Section, more than 90% of employees rely on AI primarily for basic tasks like summarizing emails, generating brief messages, or conducting simple searches. While these tasks may offer modest productivity benefits, they do not meaningfully transform workflows or improve strategic outcomes.
The core issue, therefore, is not AI capability—it is AI application. Employees are unsure how to identify AI opportunities that align with their responsibilities, KPIs, or industry-specific challenges. Even organizations with strong innovation programs often struggle to scale that knowledge across thousands of employees.
The Use Case Coach aims to bridge this gap by offering personalized, role-specific, and actionable guidance to help employees discover meaningful AI opportunities that drive real business value.
Introducing the ProfAI Use Case Coach: An AI Agent Built for Real-World Impact
The ProfAI Use Case Coach serves as a virtual AI mentor for employees. Instead of leaving workers to figure out AI on their own, the platform provides structured guidance tailored to each user’s role, skillset, and business environment. Think of it as a highly knowledgeable AI advisor that sits beside every employee, helping them not only understand what AI can do but also showing them how to use it effectively.
Below are the core capabilities that power this new feature.
Key Features of the ProfAI Use Case Coach
1. Personalized Use Case Discovery
When an employee interacts with the Use Case Coach, it begins by assessing:
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Their job role and responsibilities
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Their department or team structure
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Their company’s industry and functional context
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Their level of AI maturity
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Tools they already use
With this information, the coach suggests tailored, role-relevant AI use cases. For example:
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A financial analyst may be guided to automate variance analysis or forecasting workflows.
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A marketing manager may be shown how to create automated market segmentation processes.
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A supply chain analyst might be coached on automating demand prediction or optimizing procurement logic.
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A customer service leader could explore automated quality monitoring or AI triage workflows.
Instead of generic advice, employees receive actionable suggestions that align with the real-world problems they face.
2. Step-by-Step Guidance for Implementing AI Solutions
Discovery alone isn’t enough—implementation is where most employees get stuck. The Use Case Coach solves this by offering guided, interactive instruction to help employees build functional AI workflows from scratch.
This includes:
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Defining the business problem
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Designing prompts or input structures
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Selecting appropriate tools or enterprise LLMs
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Walking through workflow steps
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Connecting to internal systems
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Testing iterations
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Deploying the workflow into existing processes
Employees who have never built an AI workflow before can now follow a structured blueprint, helping them progress from idea to execution more confidently and efficiently.
3. Shareable Use Cases for Organizational Scaling
To help AI adoption spread internally, the Use Case Coach enables users to save, catalog, and share their completed use cases with colleagues. These can be shared across:
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Departments
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Teams
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Regions
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Functional groups
This creates an internal ecosystem of AI innovation, enabling employees to learn from one another, reuse proven workflows, and shorten the time it takes for new teams to adopt AI.
The result is a distributed AI learning culture—where innovation does not depend solely on top-down initiatives but spreads organically across the organization.
4. Integration With Enterprise LLMs
One of the standout features of the Use Case Coach is its ability to connect seamlessly with a company’s own AI infrastructure. Suggestions, prompts, and action plans can be sent directly to:
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Private LLMs
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In-house models
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Fine-tuned enterprise models
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Secure cloud-based LLMs
This ensures compliance, data privacy, and alignment with internal architectural standards. By routing actions through enterprise-managed LLMs, organizations maintain full control over data flows and AI usage.
5. Analytics, Tracking, and Enterprise-Wide Visibility
The platform includes real-time dashboards that allow AI leaders to track:
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Which use cases employees adopt
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How often they are used
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Which departments show the strongest AI engagement
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Workflow-level business impact
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Trends in adoption or declining use
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Success metrics and productivity improvements
This level of visibility helps organizations measure ROI at scale and identify where additional coaching or support may be needed.
A New Era of Scalable AI Leadership
For Chief AI Officers, Heads of AI, and Innovation Leaders, the ProfAI Use Case Coach becomes a powerful multiplier of their influence and effectiveness. Traditionally, scaling AI education across thousands of employees required:
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Countless workshops
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Customized training sessions
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One-on-one coaching
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Repeated demonstrations
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Manual documentation creation
These efforts, while valuable, are time-consuming and far from scalable.
The Use Case Coach solves this by acting as a 24/7 AI mentor embedded across the workforce. It captures institutional knowledge about high-impact use cases and automatically distributes that knowledge across teams.
Section reports that adoption can scale dramatically. One of its enterprise customers used the platform to certify over 4,300 employees in just 110 days, reaching 78% of their entire global workforce—a level of AI penetration few organizations achieve through traditional methods.
Why This Innovation Matters Now
The timing of the Use Case Coach is not accidental. Most enterprises are now facing a significant AI application gap. While LLMs, models, and tools are available and often deployed, meaningful usage remains stagnant.
This gap is widening as:
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AI tools multiply faster than employees can learn them
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Business expectations for AI acceleration increase
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Leadership struggles to show tangible ROI
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Teams experiment but fail to scale successful workflows
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Regulation heightens scrutiny around AI misuse
By helping employees move beyond superficial tasks and into substantive solutions, Section aims to close this gap and position AI as a core operational capability, not a novelty.
Challenges and Considerations for Enterprises
The Use Case Coach offers immense potential, but organizations should consider the following factors when implementing it:
1. Quality and Relevance of Recommendations
The system must continuously improve its ability to map real business roles to meaningful use cases. Poor recommendations could dilute trust or lead to irrelevant workflows.
2. Governance and Ethical Oversight
Enterprises must establish guidelines for:
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Safe use of AI
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Ethical boundaries
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Data privacy
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Model behavior
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Transparent decision-making
The coach must operate within these boundaries to maintain responsible usage.
3. Cultural Adoption and Change Management
Even with the right tools, employees may hesitate to change their workflows. Successful deployment requires:
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Leadership endorsement
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Clear incentives
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Local champions or AI ambassadors
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Training and reinforcement
4. Secure Integration With Enterprise LLMs
Connecting use-case workflows to internal models requires architecture that supports:
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Data governance
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Access controls
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Model traceability
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Secure API pathways
Enterprises must ensure the technical foundation is solid to prevent exposure or misuse.
Looking Ahead: The Potential Impact of the Use Case Coach
If widely adopted, the ProfAI Use Case Coach could reshape how enterprises approach AI. Instead of waiting for a small group of experts to generate transformative ideas, organizations could empower every employee to become an AI innovator.
By democratizing access to AI skills and offering guidance at scale, Section aims to help companies build a mature, AI-literate workforce capable of solving real problems and driving continuous improvement.
With the Use Case Coach, AI becomes not just a productivity tool but a platform for enterprise-wide innovation, enabling teams to build smarter workflows, unlock operational efficiencies, and ultimately transform how work gets done.
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