How to Implement AI in Your Business: A Step-by-Step Walkthrough

Implementing AI in your business starts by mapping your existing customer workflow from first contact to final sale, then handing off the repetitive steps in that workflow — answering FAQs, qualifying leads, collecting contact details, routing requests — to an AI voice agent and a chatbot, while keeping a human for anything that actually needs judgment.

Start with your business workflow, not with "AI"

Before touching any software, draw out your business workflow. It starts with your first communication with a customer and ends wherever your business actually finishes: for a bank, that might be the customer buying a house, making a payment, buying a car, or getting approved for a loan. For a restaurant, it is the customer finishing their food and walking out the door, and the start of the workflow is often the first time someone sees that restaurant on Instagram.

The programs and software you use underneath that workflow matter less than the shape of the workflow itself. Once you can see the steps clearly — communication, qualification, form, approval, close — you can see exactly where AI slots in. This same diagram applies to a bank doing house loans and car loans, but it applies just as well to restaurants, e-commerce stores, and any other service business. The example in this walkthrough is a bank, specifically house loans and car loans, because it is complex enough to show every piece of the puzzle.

Automate the frequently asked questions first

The easiest place to start applying AI to a business is frequently asked questions. At a bank, a large share of customer communication — around 30% in this example — is something as simple as a question about a withdrawal fee: "Why do I have a withdrawal fee? Can you remove it?"

That sounds simple, but answering it isn't just reading a script. The bank has to check whether that specific person has had any fees removed in the past 12 months before they can answer. Today, that means a human picks up the phone, looks the account up manually, and reports back. That is a person, a phone line, and a salary spent on a task that is really just "look up one fact and respond."

This is exactly where AI automation pays for itself fastest. A voice agent, built on a platform like Retell AI, is designed for this kind of complex voice interaction: it can hold a real conversation with a customer, look up the account detail, and give the correct answer without a person on the line. This is usually the first and most obvious way a bank — or any business with a high volume of repeat questions — starts benefiting from AI.

Qualify Instagram and DM leads before a human ever sees them

FAQs over the phone are only half the picture. Plenty of businesses get a steady stream of messages through Instagram and other DMs, and those messages have the same problem as phone calls: someone has to read and respond to every single one.

If you're a busy owner or CEO with 20 unanswered Instagram messages sitting in your inbox, you are losing money on every one of them — unless you have a chatbot, like ManyChat, sitting in front of that inbox. A chatbot like this can take a lead from the very first message all the way through qualification on its own: it asks the right questions, offers an upsell where it makes sense, and checks whether this is someone who has purchased from you before.

The most important part of that qualification step is collecting email and phone number upfront. Without that, every single conversation looks brand new to you, even if it's the fifth time that person has messaged. With it, the chatbot — and you — can immediately tell a returning customer from a new one, and that data gets sent straight to your CRM or even just a Google Sheet, so nothing lives only inside the Instagram inbox.

Hand off to an automated form, then to your CRM

Back to the bank example: once a customer has asked about their fee, confirmed they're a returning customer, or said they want to apply for a car loan or house loan, the next step is an automated form. The customer fills it out online, and that data — not a handwritten note, not a verbal summary relayed by a staff member — moves directly to the next stage of the workflow.

This is the part of "implementing AI" that business owners sometimes miss: it isn't only about a chatbot answering questions. It's about making sure every piece of information a lead gives you gets captured once, correctly, and carried forward automatically, instead of being re-typed or re-asked at every step.

Keep the software underneath simple on purpose

None of this requires a custom-built platform from day one. The point of walking through the workflow first is that it tells you exactly which off-the-shelf pieces you need: a voice agent platform for the phone side, a chatbot platform for the DM side, and a CRM or even a plain spreadsheet to hold the result. You don't need to understand every setting inside those tools to get the benefit — you need to know which step of your workflow each one is covering, so nothing falls through a gap between the chatbot, the form, and the person who finally reviews the lead.

The same diagram works for any business

The reason a bank works well as the teaching example is that it has real complexity: regulated products, account history checks, and multiple paths (a fee question, a returning customer, a new loan application). But the underlying diagram — FAQ automation, lead qualification, an automated form, a CRM handoff — is not specific to banking at all.

A restaurant can run the same model: Instagram as the entry point, a chatbot handling reservation and menu questions, a form for private events, and a CRM that tracks who has dined with you before. An e-commerce store can run it with product questions replacing loan questions and a shopping cart replacing the loan application. Any service business with a repeatable path from "stranger finds you" to "stranger becomes a paying customer" can use this exact structure.

Key takeaways

• Map your actual business workflow first — start of customer contact to final sale — before deciding what to automate.
• Frequently asked questions are usually the fastest win: they're repetitive, they take real staff time, and a voice agent like Retell AI can answer them without a person on the phone.
• A DM/Instagram chatbot like ManyChat should qualify leads and collect email and phone number upfront, so you can always tell a new lead from a returning customer.
• Automated forms move customer-provided data straight into the next step of your workflow instead of relying on manual notes.
• All of that data should land in a CRM or even a simple Google Sheet, so the whole flow is trackable end to end.
• This exact structure — FAQ automation, lead qualification, forms, CRM handoff — applies to banks, restaurants, e-commerce and almost any other service business.

Ready to see where AI fits in your business?

Every business has a version of this workflow already running, usually by hand. The fastest way to find out where AI can save you the most time is a short conversation about your specific setup.