The Agentic AI Tsunami

However your life may be right now, it’s about to get more efficient, and more cost effective, by a factor of 10x or more.

Agentic AIs are AI systems that operate with autonomy, decision-making capabilities, and goal-directed behaviour.

These AI agents:

• Act independently without continuous human supervision.

• Break down goals into smaller tasks and execute them step by step.

• Learn and adapt from feedback and experience.

This concept is different from traditional AI models like chatbots (like ChatGPT) or predictive analytics tools, which require explicit user input for every action.

AI Agents can do the following within your workflow on its own:

1. Reason and plan to execute tasks to achieve defined goals.

2. Interact with its digital or physical environments to execute their tasks.

3. Learn from its interactions and adjust its strategies based on feedback.

Here’s an example, for you to grasp this concept quickly:

Agentic AI for Managing Emails in an Organisation

This workflow outlines how an AI Agent can handle email management, prioritisation, response generation, and follow-ups in a corporate setting.

You have to define this workflow yourself, since the AI doesn’t know what you want to achieve.

Here are the steps:

Step 1: Define the Goal

State What You Want To Achieve.

For example:

"Manage incoming emails, prioritise important ones, generate responses, and escalate urgent issues."

NOTE that this brief objective will set the stage for the AI Agent to reason and plan out the steps to meet the objective, entirely on its own!

The AI Agent will note the above instructions as follows:

AI Agent Task: Sort, categorise, respond, and escalate emails based on priority and content.

THEN the AI Agent will expand its understanding of its tasks to the following — without your further input.

It will assume certain things based on what it knows about the tasks required of it, as follows:

Step 2: Email Sorting & Categorisation

The AI Agent scans incoming emails and categorises them into folders based on content, sender, and urgency.

It assumes that prioritisation means analysing the sender, urgency, and content.

It determines priority levels (urgent, medium, low), as follows:

🔴 Urgent & High Priority – Requires immediate action (e.g., client complaints, executive emails).

🟡 Medium Priority – Can be addressed within a day (e.g., project updates, meeting invites).

🟢 Low Priority – Can be handled later or delegated (e.g., newsletters, automated notifications).

✅ The AI Agent does the following automatically:

• Email from CEO → Urgent: Escalate to The Right Head Of Department

• Email from client asking for an invoice → Check Database for Client → Send Invoice

• Email from marketing team about a new campaign → Schedule for Review

Step 3: AI Generates Auto-Responses

The AI Agent assumes it should draft and send automated replies based on email intent.

It pulls pre-set templates or generates custom responses.

The AI drafts contextual responses based on email history and the sender’s profile.

It personalises responses based on tone and urgency.

It asks for approval before sending responses in critical cases.

✅ The AI Agent does the following automatically:

• Client Request: "Can you send me the latest contract?"

  • AI Response: "Dear [Client], here is the contract you requested. Let me know if you need any changes. Regards, [Your Name]"

• Meeting Request: "Can we schedule a call for Thursday?"

  • AI Response: "Thursday works! Let me know your available time slots, and I’ll confirm. Best, [Your Name]"

Step 4: AI Escalates Critical Emails

"Escalate urgent issues" means the AI Agent routes high-priority emails to human supervisors.

If an email requires human intervention, the AI Agent routes it to the right person.

It provides a summary of key details for faster decision-making.

It pings managers or executives for urgent issues.

✅ The AI Agent does the following automatically:

• Email: "Client XYZ is threatening to cancel our contract due to unresolved issues."

  • AI Flags as Urgent 🚨

  • AI Notifies Manager with Summary 📌

  • AI Suggests Response Options for Quick Approval ✅

Step 5: AI Schedules Follow-Ups & Reminders

The AI Agent assumes that follow-ups are required if no response is received within a certain time frame (because that’s what organisations would normally do).

It tracks pending emails and automatically schedules reminders.

It tracks email threads to ensure no response is left unanswered.

It sends follow-ups if there’s no reply within a set time.

It integrates with calendars and task managers to set reminders for pending tasks.

✅ The AI Agent does the following automatically:

• AI Notices: No reply from Vendor ABC in 48 hours.

  • AI Auto-Sends: "Hi [Vendor], just following up on the proposal. Let us know if you need more details!"

• AI Reminds: "You have an important client follow-up scheduled for Friday. Please prepare the report."

Step 6: AI Analyses Email Trends & Suggests Improvements

The AI assumes that continuous learning is expected.

It analyses past emails, response times, and common issues.

It suggests workflow optimisations.

AI monitors email volume, response times, and client satisfaction levels.

It suggests automation improvements (e.g., templates for frequently asked questions).

It generates weekly reports on email efficiency and engagement rates.

✅ The AI Agent does the following automatically:

• "Your response time to urgent emails has improved by 20% this week."

• "80% of invoice requests can be automated with a simple AI-generated response template."

• "25% of emails from [Vendor] go unanswered for over 48 hours. Consider setting a dedicated reminder."

In A Nutshell

This Agentic AI system:

✅ Sorts and prioritises emails automatically

✅ Drafts and sends responses based on context

✅ Escalates urgent emails with summaries

✅ Schedules follow-ups and reminders proactively

✅ Tracks and improves email efficiency over time

This workflow eliminates email overload, speeds up response times, and ensures critical emails get immediate attention, making it a perfect AI-driven email management system for organisations.

And it’s all done AUTOMATICALLY.

Take a second to think about this.

As you can see, AI Agents will change how we do things, by making us more efficient, and more cost effective, at the same time.

And I have not covered AI Agents for the other aspects of a business yet.

These other workflows vary according to the organisation they are deployed in.

But generally, they include the following:

1. Customer Support & Chatbots

The AI Agent handle customer inquiries, complaints, and requests without human intervention.

It conducts sentiment analysis to prioritise urgent or negative interactions.

It escalates complex issues to human agents while providing summaries of past interactions.

✅ Example: An AI customer support system that answers FAQs, processes refunds, and follows up with customers to improve satisfaction.

2. Sales & Lead Generation

The AI agent qualifies leads, prioritise prospects, and automate follow-ups.

It uses predictive analytics to score leads based on likelihood of conversion.

It nurtures prospects by sending personalised messages, emails, and scheduling meetings.

✅ Example: AI tracks visitor behaviour on a website and triggers automated email outreach for high-intent leads.

3. Marketing & Content

The AI Agent analyses market trends and generates SEO-optimised blog posts, ads, and newsletters.

It uses Social media automation to schedule, post, and analyse engagement.

It personalises email campaigns and conducts A/B testing for maximum conversion.

✅ Example: AI writes, optimises, and publishes weekly blog posts while generating Twitter and LinkedIn updates.

4. HR & Recruitment

The AI Agent screens resumes, matches candidates to job descriptions, and schedules interviews.

Its interview bots conduct initial screenings and assess responses.

It conducts employee sentiment analysis to improve retention and engagement.

✅ Example: AI-powered recruitment agent finds candidates, evaluates skills, and suggests top hires based on company culture fit.

5. Finance & Expenses

The AI Agent automates expense approvals, audits financial transactions, and detects fraud.

It handles invoice processing, tracks overdue payments, and predicts cash flow.

Its AI-powered investment advisors suggest financial strategies.

✅ Example: AI monitors corporate spending and flags unusual transactions for compliance teams.

6. Supply Chain & Logistics

The AI Agent predicts demand, optimising inventory management and reducing stockouts.

It provides routing and scheduling for delivery fleets.

It analyses supplier performance and automates procurement decisions.

✅ Example: AI forecasts supply shortages and auto-orders raw materials to prevent delays.

7. IT & Cybersecurity

The AI Agent detects and mitigates security threats in real time.

It automates software updates, compliance checks, and vulnerability scanning.

It provides helpdesk assistants resolve IT issues instantly.

✅ Example: AI detects phishing attempts and blocks malicious emails before they reach employees.

8. Legal & Compliance

The AI Agent analyses contracts, extracts key clauses, and flags risks.

It automates compliance audits to ensure regulatory adherence.

It drafts standard legal documents and agreements.

✅ Example: AI scans contracts for missing terms and suggests modifications to legal teams.

9. Research & Business Intelligence

The AI agent scans, summarises, and synthesises market reports in minutes.

It provides trend analysis for competitive intelligence.

It monitors industry news and alerts executives on relevant insights.

✅ Example: AI tracks competitors’ new product launches and compiles a weekly intelligence report.

10. Employee Productivity

The AI Agent schedules meetings, organises tasks, and prioritises daily work.

It summarises lengthy documents and emails, saving reading time.

It tracks goals and provides performance insights.

✅ Example: AI summarises key meeting notes and suggests action points for employees.

There are many more AI Agents that can be created. The above are just some examples for the organisation.

You can have multiple AI Agents making your personal life more efficient, including automatically booking a table at a restaurant for your wedding anniversary, after having bought a gift for your spouse based on their history, and organising a surprise birthday party for them the day before with close friends based on their Instant Messaging activities (to determine who their close friends are).

It’s still early days yet — but you can already see where we are all heading.

In due time, there will be MILLIONS of AI Agents, each with its own tasks and responsibilities, in all aspects of our lives.

Get ready for them.

Cheers!

P.S. If you find this useful, do share it with the people you care about. Agentic AI will change our lives in significant ways, for sure.

NOTE:

The 10x Factors for investors’s content is educational in nature, with examples used to illustrate the learning points. We are not financial advisors and do not provide financial advice. Please speak to your financial advisor before making any investment decision. Note that every investment comes with its own risks and drawbacks. Past results cannot guarantee future returns. Do not invest with money you cannot afford to lose.

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