Sales managers
Sales managers perform high-level knowledge work including data analysis, sales forecasting, and strategic planning, all of which are highly susceptible to AI augmentation. While the role requires significant interpersonal leadership and relationship management, much of the core digital workflow—such as monitoring CRM data, generating reports, and developing training materials—is being rapidly transformed by generative and analytical AI.
Task breakdown
Based on 15 O*NET work activities for this occupation
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Top tools for your role
Corporate card and spend management platform with AI. Issues physical and virtual cards with custom controls, automates receipt matching, expense categorization, and bill payments.
Learn moreFree reporting and dashboard tool from Google. Connects to Google Analytics, Sheets, BigQuery, and 800+ data sources. Drag-and-drop report builder with sharing and scheduling.
Learn moreAI writing assistant that checks grammar, tone, clarity, and style across any text field. Business tier adds brand voice consistency, snippet libraries, and analytics.
Learn more3 ways to level up
Automate your reporting pipeline
Connect your data sources to AI-powered reporting. Generate weekly summaries, dashboards, or client updates automatically. Focus your time on analysis, not assembly.
Moves you from 7 → 8Deploy AI agents for routine decisions
Identify decisions that follow clear rules (scheduling, triage, categorization) and set up AI agents to handle them. You review exceptions, not every case.
Frees 5+ hours per weekTrain your team on AI-first workflows
Run a 1-hour workshop showing your team how you use AI. Share your best prompts and workflows. The compounding effect of team-wide adoption far exceeds individual use.
Multiplies your impact across the teamEstimated time savings
Conservative estimate based on AI exposure score and a 40-hour work week. Assumes 30% of exposed tasks produce real time savings today.
Personalized plan
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AI Score measures how much AI opportunity your role has. Higher scores mean more potential for AI-assisted productivity gains. Scores are derived from O*NET task data across 342 occupations. This is a starting point, not a verdict. Tool recommendations are based on industry fit and are not endorsements.