Module 01Lesson 2

Lesson 2. Where Agents Are Used: A Map of Business Tasks

Theory

Lesson 2. Where Agents Are Used: A Map of Business Tasks#

Map of business tasks for AI agents
Map of business tasks for AI agents

Why This Matters#

To earn with agents, you need to know where they deliver real value. A task map helps you spot opportunities across industries and offer clients ready-made solutions.

Key Idea#

Money is where there are repeatable tasks and bottlenecks

If a task is done manually 10+ times a day, takes time, and has template steps — it can be automated with an agent.

Task Map by Business Function#

1. Customer Support

Typical tasks:

  • answering frequent questions (FAQ)

  • checking order status

  • booking a service or consultation

  • collecting feedback

Agent examples:

  • FAQ bot with knowledge base for an online store

  • booking agent for a beauty salon via Telegram

  • post-purchase review collection agent

Effect:

  • saves 2–5 hours of manager work per day

  • customer reply in 1–2 minutes instead of hours

  • higher loyalty

2. Sales

Typical tasks:

  • qualifying incoming leads

  • preparing proposals

  • reminders for next steps

  • analyzing customer needs

Agent examples:

  • lead qualification agent for a digital agency

  • standard proposal preparation agent

  • manager assistant agent (reminds about calls, collects data)

Effect:

  • 15–30% conversion increase from faster response

  • saves 1–2 hours on document preparation

  • manager focuses on hot leads

3. Marketing

Typical tasks:

  • analyzing reviews and comments

  • selecting content for the audience

  • generating post ideas

  • monitoring brand mentions

Agent examples:

  • review analysis agent (highlights issues and insights)

  • blog topic selection agent

  • SMM assistant agent (post drafts, ideas)

Effect:

  • saves 3–5 hours on analytics per week

  • more content with the same resources

  • faster response to negative feedback

4. Operations and Administration

Typical tasks:

  • filling spreadsheets and reports

  • checking data for errors

  • sending reminders and notifications

  • syncing data between systems

Agent examples:

  • report-filling agent from multiple sources

  • data completeness check agent for applications

  • deadline reminder agent

Effect:

  • 50–70% reduction in manual work

  • fewer errors

  • better timeliness

5. HR and Recruitment

Typical tasks:

  • initial resume screening

  • responding to candidates

  • scheduling interviews

  • collecting candidate feedback

Agent examples:

  • initial resume screening agent

  • interview coordination agent

  • post-interview survey agent

Effect:

  • saves 5–10 hours of recruiter time per week

  • better candidate experience

  • faster vacancy closure

Real-World Examples (2026)#

Customer SupportOnline StoreDigital Agency
Customer Support
Customer Support
Online Store
Online Store
Digital Agency
Digital Agency

Case 1: Beauty Salon

  • task: booking clients via messengers

  • solution: Telegram agent, calendar integration

  • effect: -40% calls to receptionist, +20% new bookings (convenience)

Case 2: Online Clothing Store

  • task: questions about delivery and returns

  • solution: agent with knowledge base in website chat

  • effect: -60% support tickets, reply in 30 seconds

Case 3: Digital Agency

  • task: many cold leads, managers overwhelmed

  • solution: qualification agent via form

  • effect: +30% conversion to deal, managers work only with qualified leads

Map: "Domain → Task → Effect"#

DomainTaskAgentEffect
Service salonClient bookingTelegram booking bot-40% calls
Online storeDelivery questionsFAQ agent-60% tickets
AgencyLead qualificationForm agent+30% conversion
School/coursesStudent questionsAssistant agent-50% questions
ClinicAppointment remindersReminder agent-30% no-shows

Check Your Understanding#

  1. In which business functions are agents used most often?

  2. Which tasks are best suited for agent automation?

  3. Give 3 examples of tasks from different domains

  4. How do you know if a task fits an agent?