The fastest way to internalize what AI agents are actually good at is to see seven real workflows people have already shipped. Not slide-deck examples — workflows that take hours every week and now take minutes. Here's a starter list, drawn from what attendees actually build at Build An Agent Day.
1. The weekly stakeholder report
An ops manager spends three hours every Friday compiling a status report from four different tools. An agent connected to those sources can pull the data, draft the narrative, and leave the human a 30-minute review-and-ship task instead. Year one ROI: ~130 hours recovered.
2. RFP triage (sales)
A sales engineer scans incoming RFPs and decides which ones are worth the team's time. An agent reads the RFP, scores it against your win-criteria matrix, drafts a no-go email or a yes/here's-the-team summary, and only routes the borderline cases to a human.
3. Constituent intake (state and local government)
An agent reads incoming constituent emails, extracts the request type, attaches relevant case-history context, drafts a first-pass response, and queues it for the human caseworker to review. Faster constituent response and a paper trail an auditor can read.
4. Public-comment docket summarization
A public agency receives 400 comments on a proposed rule. An agent clusters the comments by theme, surfaces representative quotes, flags outliers, and writes a synthesis. What used to be a two-week task becomes an afternoon.
5. The daily LinkedIn post (marketing)
A marketer drafts 15 LinkedIn posts a week from internal source material. An agent reads new internal docs, identifies post-worthy angles, drafts in the brand voice, and gives the human three options to pick from instead of starting from blank.
6. New-hire onboarding helper (HR)
A new hire has 50 questions in their first week. An agent trained on your company's knowledge base answers the easy 80% directly and routes the hard 20% to the right human, with the relevant policy doc attached.
7. Lesson-plan rubric drafting (education)
A faculty member writes rubrics for every assignment. An agent reads the assignment prompt, generates a draft rubric in the format the school requires, and gives the faculty member a starting point that's 80% there.
Pick the one that hurts most
The right workflow to automate first is the one you most resent doing. Pick that one, codify it as a Skill, wire it to your tools, ship it. The compounding starts the next week.