17 Leaders Share AI Agent Use Cases That Made Life Better
Agentic AI is stepping beyond hype and into operators’ daily workflows. With a little creativity and iteration, leaders are deploying agents that free up hours, sharpen thinking, and elevate customer experiences. We asked members of the Inc. Leadership Forum how AI agents are actually helping them work smarter. Their 17 use cases span strategy, operations, compliance, and go-to-market—offering a practical playbook for what’s working now.
- Co-create client-facing language — Elena Armijo, The C-Suite Collective LLC: Treat AI as a late-night thought partner to shape messaging and frameworks. The biggest win? Clearer thinking, not just faster drafting.
- Orchestrate domain experts and media intel — Jennifer Acree, JSA+Partners: Spin up focused agents for different aspects of a problem, then synthesize. A Slack integration with Claude also curates daily newsletter noise into actionable updates and media opportunities.
- Run a personal check-in agent — Sima Mosbacher, HIGHSCALE: An internal agent reads work-in-progress, tracks motion, and sets deadlines—reducing follow-ups and management drag while keeping projects from slipping.
- Automate operational routines — Michael Podolsky, PissedConsumer.com: From content moderation to feedback analysis (with humans in the loop), plus OpenClaw agents in team chats to gather insights and auto-structure spreadsheets—saving managers 2–3 hours daily. A personal agent also streamlines calendar and lead capture at events.
- Accelerate literature reviews — Ari McGrew, PhD, Tactful Disruption: Tools like AnswerThis.io surface sources, pressure-test arguments, and refine white papers—speeding up learning and strengthening scholarship.
- Build custom agents that flag what changed — Sankalp Arora, PhD, Gather AI: The best systems proactively surface anomalies and priorities. Creating bespoke agents with Claude Code has been both powerful and surprisingly delightful.
- Turn email into a prioritized plan — Brianna Sylver, Sylver Consulting: An inbox agent reads, sorts, and highlights what truly drives the business—replacing morning dread with a focused daily map.
- Route site visitors straight to meetings — Allen Falcon, Cumulus Global: A simple agent collects baseline context, maps it to likely solutions, and books time with the right teammate—boosting engagement by reducing back-and-forth.
- Continuously scan for compliance gaps — Gina Anderson, PhD, Luma Brighter Learning: A compliance agent checks content against evolving regulations and flags updates; humans make the final call.
- Debug what stumped experts — Yuriy Gorokhov, Adtelligent: Using Claude Code on a complex C++/Linux project, a persistent bug was identified in minutes and fixed—despite limited prior C++ experience—highlighting AI’s value as a force multiplier.
- Stress-test product formulations — Susanne Norwitz, Maya Chia: Use AI as a reasoning partner on ingredient interactions—surfacing literature, challenging assumptions, and strengthening conclusions without replacing domain expertise.
- Speed the groundwork in PR — Emily Reynolds, R Public Relations: Agents build media lists, draft outlines, and scan trends so humans can focus on narrative craft and relationships—the parts that move the needle.
- Adopt an experimentation mindset — Christie Garton, 1,000 Dreams Fund: Inspired by creators like @youraiaunti, shifting from “optimize later” to “try it now” unlocked practical wins across partner research and program strategy.
- Surface patterns for faster decisions — Christina Rahm, PhD, DRC Ventures: The standout value is synthesis—turning complex operational and consumer data into clear, decision-ready insights while keeping humans in the loop.
- Spin up go-to-market agents on demand — George Alifragis, Metropolitan Partners Group: With Swan AI, leaders described workflows in plain language and deployed agents to monitor site visitors, deanonymize accounts, qualify against ICPs, research, and personalize outreach. Post-close, another agent finds lookalikes, maps buying committees, crafts messaging, and launches multichannel campaigns—producing higher conversion and a more systematic pipeline.
- Draft thoughtful responses at speed — April Jones, Jones Law Firm, PC: Feed rough ideas, step away, and return to polished drafts and replies. The agent dials in tone and timeliness—crucial for founders moving fast.
- Reduce decision fatigue with risk monitors — Kevin Leyes, LeyesX: Agents track risk signals, condense complexity, and spotlight priorities in real time—delivering clarity at speed.
Across these stories, a pattern emerges: the most effective agents don’t just save time; they create leverage. They make work more accountable, insights more accessible, and execution more consistent—while keeping human judgment at the center. If you’re AI-curious, start small, automate the repetitive, and then scale the systems that surface what truly matters.
