AI Agents for Client Acquisition:
How to Build Them Hassle-Free

Have you noticed how winning a new customer feels tougher these days? Customer acquisition costs keep going up, and the competition never seems to slow down.

You probably see how much effort it takes just to catch attention and turn a lead into a paying customer. The numbers say it all:

• Getting a new customer can cost 5–25 times more than keeping an existing one. AI-powered client acquisition can cost up to 50%.
• AI-powered client acquisition can cost up to 50%.

That’s why AI agents for client acquisition make such a big difference. They help you attract, engage, and convert customers faster and more efficiently.

So, why not see how you can build them and why e-commerce and BFSI use them so effectively?

How to Build AI Agents for Client Acquisition in 3 Easy Steps?

You can now easily build your own AI agents for client acquisition with tools like TechMonk’s Agent Builder. TechMonk also offers prebuilt AI Sales Agents that manage the entire acquisition process for you. They handle everything from lead qualification to repeat purchases.

But what if you want something that matches your specific workflows? TechMonk gives you that flexibility, too. You can build your own AI agents in just 3 steps.

1. Choose Tools From the Tool Library

Want to start building your AI agents? Begin with TechMonk’s Tool Library. It gives you everything you need to create functional and smart AI agents. You get access to a wide range of prebuilt tools that help your agents perform different tasks across the customer journ ey.

Here’s how you can build custom tools.

• Open TechMonk’s Agent Builder, go to the Tool Library, and click Create New Tool under the Custom Tool section.
• Enter the tool name, description, and type. Then fill in the required fields and clickNext.
• Add custom code if needed, enter the button details, and click Done to save the tool.

2. Build or Customise Your AI Agent

You can use TechMonk’s prebuilt agents or create one from scratch. These agents take care of specific tasks and make your work smoother and faster.

Here’s how to build your custom AI agent:

• Open Agent Library, go to Custom Agents, and click Create New Agent.
• Enter the agent’s name, description, and output in the pop-up window.
• Choose tools from the Tool Library, then click Done to save your AI agent.

3. Build the Agentic Workflow

Now that your agents are ready, it’s time to connect them. This is where you create an Agent Flow, the agentic workflow that brings multiple AI agents together to handle complete acquisition journeys.

Think of it as a system where each agent knows exactly what to do. The orchestrator works like the brain that decides which agent takes on each task.

Here’s how to design your workflow for customer acquisition:

• In Agent Builder, select Agent Flow, then enter the name, description, and input channels for your workflow and click Next.
• Choose the AI agents for your workflow. You can also use the search bar to find them easily, then click Next.
• Add custom tools for your agents if needed, then choose Save as Draft or Save & Publish to finish.

How to Ensure Custom AI Agents Perform Exactly the Way You Want?

• Strict Guardrails: Set input and output guardrails so your AI agents only accept valid inputs. This keeps responses accurate and prevents misuse or prompt hacking. It also helps you maintain strong quality control.
• Testing Automation: Use the LLM Judge to train and validate your AI agents’ responses whenever you want. This ensures your customers always get accurate and relevant answers.
• Observability of Workflows: Watch your AI agents handle customer queries in real time. You can easily spot issues, fine-tune interactions, and deliver smoother customer experiences.
• Traceability of Conversations: Track all AI agent conversations across channels. You can see how responses are created and quickly identify where improvements are needed.
• Tracking AI Agent Performance: Measure reasoning, response times, and latency to get clear insights. Use these insights to keep improving performance and efficiency.

Why is Customer Acquisition So Challenging?

• Commoditisation of Services: Have you noticed how most products and services today look almost the same? It’s becoming harder to stand out in such a crowded space. This often leads to price-based competition, which makes it tough to build a unique market position.
• Premium Customer Attention: Social media has made it possible for every brand to reach a large audience. But how do you grab attention when everyone is fighting for the same space? Brands are now spending massive budgets just to capture a small share of it.
• AI Capital Importance: AI is now as valuable as human capital. With large language models becoming more common, companies that don’t use AI in their workflows risk falling behind.

Client Acquisition in E-Commerce: How AI Agents Transform the Funnel

1. Instantly Engages Potential Customers

AI agents close the gap between customer interest and instant engagement. They create a personalised experience that nurtures leads instantly.

• Instant engagement with leads: When someone clicks on a Click to WhatsApp ad, the AI agent engages them right away. It answers product questions, shares company details, and keeps the lead warm.
• Gathering lead information: The AI agent collects valuable data during chats. This data helps you build customer intelligence early on. It improves your future marketing campaigns.

2. Personalises WhatsApp Commerce

AI agents make shopping more enjoyable and smooth. They give customers personalised recommendations and guide them through checkout, all within WhatsApp.

• Personalised product recommendations: The AI agent uses real-time data to suggest products that match each customer’s interests. This makes shopping more relevant and fun.
• Instant assistance during checkout: During checkout, the AI agent helps with questions and shares promotions. This reduces cart abandonment and boosts conversions.

3. Organic Growth with Reviews and Referrals

AI agents make it easier to build trust and grow naturally. They automate review collection and manage referral programs, saving you time and effort.

• Automated review reminders: After a purchase, the AI agent sends reminders asking customers to leave reviews. These reviews build your brand credibility.
• Encouraging referrals: The AI agent motivates happy customers to refer friends or family. It can even offer rewards, turning your customers into brand promoters.

4. Recover Lost Sales

AI agents do a great job at bringing back lost sales. They send personalised follow-ups to re-engage customers who left their carts halfway.

• Personalised messages: The AI agent sends messages reminding customers about their abandoned carts. It shares product details or offers help to encourage them to finish buying.
• Incentives to finalise purchases: To push the sale, the AI agent can share exclusive discounts or limited-time offers. This helps turn lost sales into successful checkouts without extra ad costs.

Real-Life Example

Picture this. A customer is scrolling through their social media feed and clicks on an ad for premium shoes. They are redirected to WhatsApp, where an AI agent greets them instantly.

• Product Discovery: The AI agent introduces the shoes and asks if they’d like help. Based on their answer, it suggests other options like shoe accessories or different colours of the same design.
• Add to Cart: The customer picks a pair and adds it to the cart. The AI agent recommends a shoe care kit, and the customer adds that too.
• Upsell/Cross-Sell: While checking out, the AI agent suggests a matching belt. The customer adds it, increasing the total order value.
• Abandoned Cart: Midway, the customer leaves without completing the purchase.
• Re-engagement: A few hours later, the AI agent sends a follow-up message reminding them about the cart. It also offers a 10% discount and mentions that stock is limited.
• Checkout: The customer completes the purchase directly on WhatsApp using UPI. The AI agent confirms the order, sends an invoice, and shares delivery updates.
• Track Orders: Later, when the customer asks for order tracking, the AI agent provides real-time delivery updates, ensuring a smooth post-purchase experience.

Client Acquisition in BFSI: AI Agents for a Smarter Process

1. Digital Sales Concierge Agent

Have you ever wondered how much time goes into converting a lead into a customer? AI agents make that whole process faster and smoother. They manage everything from lead capture to onboarding while ensuring compliance at every step.

• Savings or current account acquisition: The AI agent captures leads for savings and current accounts and qualifies them quickly.
• Micro-savings signups: It helps customers sign up for micro-savings programs and makes small-scale savings easy to start.
• Microloan lead capture: The AI agent captures and qualifies leads for microloans using preset criteria while ensuring regulatory compliance.
• Card enrollment: The agent automates card enrollment and improves conversion rates for both credit and debit cards.

2. Account Activation & First-90-Day Journey Agent

Do customers often lose interest soon after signing up? This AI agent helps fix that by building strong engagement from the start.

• First deposit nudges: Send reminders for first deposits to help customers activate their accounts faster.
• UPI/linking mandates: Encourages customers to set up UPI payments and link mandates for bills, increasing regular usage.
• Debit card PIN set: Reminds customers to set their debit card PIN, a crucial step in activation.
• Savings goals: Helps customers set and track their savings goals to stay consistent and motivated.

3. Conversational Product Advisor

AI agents work like personal advisors to guide customers in making the right choices. They assess preferences, affordability, and needs to suggest the best options.

• Savings vs recurring deposit: The AI agent helps customers choose between a savings account and a recurring deposit based on their goals,
• Small-ticket working capital: Assists customers in selecting the best small-ticket loan for working capital and simplifies the process.
• Micro-insurance bundling: Suggests suitable micro-insurance plans and explains coverage clearly.
• Overdraft vs term loan: Gives advice on choosing between an overdraft and a term loan to make sure customers pick what suits them best.

Real-Life Example

Let’s picture this. A customer spots an ad for a savings account from a microfinance bank and clicks on it. Instantly, they connect with an AI agent on WhatsApp.

• AI Engagement: The agent greets the customer and asks questions about their financial goals to understand their needs better.
• Product Discovery: Based on the answers, it recommends a micro-savings plan and guides the customer through the account opening steps.
• Upselling/Cross-selling: While discussing the micro-savings plan, the AI agent introduces a small-ticket loan product and explains how it could help the customer. The customer begins the account application but stops halfway through.
• AI Re-engagement: The AI agent follows up with a friendly message offering a fee waiver to encourage completion.
• Discounts and Offers: It also shares a limited-time discount for opening the account, motivating the customer to finish the process.
• Final Purchase: The customer completes the registration, and the AI agent sends a confirmation along with more product recommendations.
• Status Tracking: Later, when the customer checks the account status, the AI agent provides real-time updates directly on WhatsApp.