Illustrative Examples

How AI Could Be Used, By Industry

Realistic, illustrative scenarios showing how AI might apply to common tasks in different fields.

Important: these are illustrative, hypothetical scenarios written to show realistic possibilities — not real customer testimonials or case studies from actual named clients. We built these to show what's plausible, not to claim it happened exactly this way for a specific business.

Legal: contract review support

The scenario: a small law firm handling routine commercial leases spends significant partner time on initial contract review, checking for standard clauses and flagging unusual terms.

How AI could help: using AI to do a first-pass review — summarizing key terms and flagging clauses that deviate from standard language — before a lawyer does the final review, potentially cutting initial review time meaningfully while keeping the licensed professional as final sign-off, as covered in our Legal industry guide.

Marketing: campaign copy variants

The scenario: a small marketing team needs to produce many variants of ad copy for A/B testing across several channels, a task that's repetitive but time-consuming by hand.

How AI could help: generating a large batch of copy variants quickly from a tight brief (brand voice, audience, key message), then having a human editor select and refine the strongest options — see our Marketing industry guide for a fuller workflow.

HR: resume screening support

The scenario: an HR team receives a high volume of applications for each opening and needs to narrow the pool before human review.

How AI could help: using AI to surface candidates who clearly meet stated requirements for human reviewers to prioritize — not to auto-reject applicants — while regularly auditing for bias, as covered in our HR industry guide.

Agriculture: irrigation timing

The scenario: a farm operation manages irrigation scheduling manually based on experience and periodic soil checks, which can miss subtle patterns in weather and soil moisture data.

How AI could help: combining existing weather and soil sensor data with AI analysis to suggest irrigation timing adjustments, tested alongside existing judgment for a season before fully relying on it — see our Agriculture industry guide.

IT: documentation and onboarding

The scenario: a small IT team's internal documentation is scattered and inconsistent, making new hire onboarding slower than it should be.

How AI could help: using AI to draft first-pass documentation from existing scattered notes and Slack threads, then having the team review and correct it — turning weeks of documentation debt into a much shorter cleanup task.

Want to see if this applies to your specific situation?

Try our AI Cost & Time Savings Calculator to get a rough sense of potential impact for your own repeated task, or browse our full industry guides for deeper, field-specific guidance.

Frequently asked questions

Are these real companies or real results?

No — these are illustrative, hypothetical scenarios meant to show realistic possibilities, not real named case studies or verified outcomes.

Why not use real case studies instead?

We don't have verified, permission-cleared customer stories to share yet — illustrative scenarios let us show realistic possibilities honestly, without implying they're documented outcomes.

How do I know if my own results would look like this?

They may not — actual results depend heavily on your specific task, tools, and how well the AI output fits without heavy editing. The calculator and a short real pilot are better guides than any example scenario.