The short answer
AI agents show up at work as defined step sequences that start with a trigger and end with an outcome, with a human review point at sensitive decisions. The examples below are illustrative, carry no numbers, and cover eight common business roles.
Sales
Illustrative workflow: a new inquiry arrives from a website form. The agent gathers company details and estimated size, compares them against qualification criteria, proposes an available slot from the sales team calendar, and sends an invite. For a high-value deal, it presents a summary to the rep for approval before sending. Outcome: a qualified lead with a booked meeting instead of an email waiting for a manual reply.
Customer support
Illustrative workflow: a question arrives about an order status. The agent checks the order number in the system, finds the shipping status, and replies with accurate information. If the request is a refund above a threshold, the agent pauses and requests supervisor approval before issuing it. Outcome: a fast, accurate reply with protection on sensitive cases.
Marketing
Illustrative workflow: a new campaign goes live. The agent tracks content performance across connected channels, collects recurring questions from comments, and drafts replies consistent with brand tone. The marketing team reviews the drafts before final posting. Outcome: faster responsiveness without giving up human review of tone.
HR and recruiting
Illustrative workflow: a new CV arrives for an open role. The agent screens it against the job requirements, summarises strengths and gaps, and suggests a label (fit, maybe, not a fit). Any final rejection decision goes through human review. Outcome: a ranked candidate list instead of manually reading every CV.
Ecommerce
Illustrative workflow: a product's stock falls below a threshold. The agent detects this from the inventory system, checks pending purchase orders with the supplier, and prepares an alert with a suggested reorder quantity. The purchasing team approves before the order is sent. Outcome: avoiding stockouts without issuing unreviewed automatic purchase orders.
Operations
Illustrative workflow: a recurring internal approval request arrives (a leave request or an expense). The agent gathers the needed context (remaining balance, applicable policy), drafts the proposed decision, and routes it to the approver. Outcome: a faster approval cycle while the decision stays with a human.
Research
Illustrative workflow: an initial market scan is requested for a new sector. The agent gathers available sources, organises them into a comparative summary with key points and information gaps, and hands it to the researcher to complete and verify rather than treating it as a final report. Outcome: an initial research draft that cuts down manual gathering time.
Real estate
Illustrative workflow: a client asks about a listed property. The agent answers with available details (size, price, location), checks the advisor's calendar availability, and proposes a viewing. Final booking confirmation goes through the human advisor. Outcome: initial inquiries answered instantly without disrupting the advisor's schedule.
Category-to-agent table
| Category | What the ready-made WKIL agent does |
|---|---|
| Sales | Qualifies leads and books meetings against stated criteria |
| Customer support | Answers status inquiries and escalates sensitive cases for human approval |
| Marketing | Tracks content performance and drafts on-tone replies |
| HR and recruiting | Screens CVs against job requirements and summarises them |
| Ecommerce | Monitors inventory and suggests reorders before stockouts |
| Operations | Gathers context for recurring internal approval requests |
| Research | Compiles available sources into an initial comparative summary |
| Real estate | Answers property inquiries and coordinates viewing appointments |