How Are Businesses Using AI Agents in 2025?
How Are Businesses Using AI Agents in 2025?
In 2025, AI agents are becoming part of the everyday workflow — not replacing people, but helping them move faster, stay informed, and reduce manual effort.
With platforms like Calk AI, startups and teams are creating agents that tap into the tools they already use — and do the things they repeat every day.
Here are some of the most common use cases:
In sales
Sales teams are using agents to personalize follow-ups, reduce lead drop-off, and keep deals moving — without digging through CRM notes every time.
Example:
A B2B software company built a follow-up agent that generates personalized emails when a lead hasn’t replied in 5 days. It references past conversations, sales stages, and notes — increasing reply rates by 40% and saving each rep several hours a week.
In marketing
Marketing teams are turning agents into content accelerators — helping them draft, repurpose, and publish faster while staying on brand.
Example:
A consumer goods company trained agents on brand guidelines and past campaigns. What took weeks to write before now gets done in a day — reducing production costs by 90% and multiplying their content output 5x.
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In customer support
Support agents help answer internal questions, suggest ticket replies, and reduce reliance on repetitive lookups — all using company-specific documentation.
Example:
A remote-first team created a support agent trained on internal docs and past support replies. Now, reps get suggested answers in real-time, cutting response time by 70% and improving consistency across the team.
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In knowledge management
Rather than searching across Slack, Notion, and Drive, teams are using agents to find what they need — when they need it — with full context.
Example:
A product team deployed agents that answer questions like “What’s our latest onboarding flow?” or “What changed in our GTM plan this month?” This freed up senior team members and kept everyone aligned without needing long back-and-forths.
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