AI Agents
How AI Agents Automate Business Operations
AI agents create value when they own a repeatable piece of work end to end. Here are six operational workflows, written as steps, that show exactly where an agent fits and where a person stays in control.
7 min read ·
1. Sales: lead to meeting
Lead arrives → agent checks requirements → qualifies the lead → updates CRM → schedules the meeting → sends a follow-up. Sales spends time only on qualified conversations.
2. Support: question to resolution
Customer asks a question → agent checks company knowledge → answers → creates a support ticket if required, with the conversation attached.
3. Finance: invoice to approval
Invoice received → agent extracts fields → validates against the purchase order → updates ERP or accounting → sends an approval request to the right person.
4. HR: question to action
Employee asks an HR question → agent retrieves the policy → responds immediately → performs permitted actions such as recording a leave request.
5. Procurement: need to purchase order
Stock drops below a threshold → agent compares approved vendors and recent prices → drafts a purchase order → requests approval.
6. Operations: anomaly to action
Production or sales data moves out of range → agent identifies the abnormal pattern → alerts the responsible person → suggests corrective actions.
What makes these work
Clean integrations, clear rules for escalation, and measurement. Before building, agree what success looks like — response time, hours saved or error rate — and track it from day one.
Frequently asked questions
Which workflow should we automate first?
The one with the highest volume of repetitive steps, a clear owner and low cost of a mistake. Support triage and lead qualification are common first choices.
Not sure where AI can help your business?
Tell us how your business currently works. We'll identify where AI, software or automation can remove repetitive work.
Usually responds within one business day.