Vertu Put an AI Agent in a $6,880 Phone. Here Is How a Small Business Puts One to Work for Far Less

An AI agent is software that can take a task from start to finish on its own, things like replying to a lead, booking an appointment, or updating your CRM, without you clicking through every step. The news hook this week is that Vertu, the luxury phone brand, wants executives to pay 6,880 dollars for a handset with an AI agent built in. Here is the useful part for a business owner: the agent is the software, not the phone. You can get the same kind of automation running for a tiny fraction of that, and often for the price of a monthly subscription.

What is an AI agent, really?

A regular chatbot answers a question. An AI agent takes an action. Give it a goal ("when a new enquiry comes in, reply within two minutes, ask three qualifying questions, and put the answers in the CRM") and it carries out the steps, using your tools to do it. The difference is between something that talks and something that does the work.

The technology behind this is not exotic anymore. The same large language models that power ChatGPT and Claude can now read an email, decide what to do, call another app, and write the result back. That chain of decide-then-act is what people mean when they say "agent."

Why did Vertu put one in a $6,880 phone?

Because a luxury brand sells status, and "AI agent" is the phrase of the moment. The hardware is the product they are charging for. The agent itself is a thin layer on top of models and services that anyone can access. TechCrunch tested the Vertu agent and found it does roughly what a well set up automation does, only wrapped in a very expensive device. That is worth knowing, because it tells you where the real value sits. It is in the workflow, not the gadget.

What can an AI agent actually do for a small business?

The highest-value jobs are the boring, high-volume ones you have stopped noticing:

• Lead follow-up. An agent replies to a new enquiry in seconds, day or night, asks qualifying questions, and books a call. Speed matters here. Studies of sales response times have long shown that contacting a lead in the first few minutes dramatically raises the odds of reaching them versus waiting an hour.
• Booking and scheduling. It offers times, confirms, sends reminders, and reschedules no-shows, which is exactly the "booking automation" so many owners search for.
• Inbox triage. It sorts incoming email, drafts replies for routine requests, and flags the ones that need a human.
• Data entry. It reads a form, an invoice, or an email and updates your CRM or spreadsheet, so nobody retypes anything.

Notice the pattern. These are repetitive, rules-plus-judgment tasks that eat hours and add no real value when a person does them by hand.

What does it cost to run an AI agent without the luxury hardware?

Far less than a five-figure phone. The building blocks are ordinary and mostly subscription based. Automation platforms like Make or n8n connect your apps and run the workflow. The AI models are billed by usage, often cents per task, and the newest models keep getting cheaper. A typical small business automation runs on tens of dollars a month in software plus a modest setup effort, not thousands in hardware.

The honest cost is not the tools. It is the thinking. You have to map the workflow, decide what the agent handles and what a human checks, and connect it to your real systems. That design work is where a job either pays for itself or quietly breaks.

How do you start without wasting money?

Start with one workflow that visibly pays for itself, then compound. Pick the task that is high-volume, repetitive, and currently done by a person who would rather be doing something else. Lead follow-up is the classic first win because the payoff (more booked calls from leads you were already getting) is easy to see.

This is how a pragmatic automation consultancy thinks about it, and it is how we approach it at Odyssey. In one engagement, a client was losing enquiries simply because replies went out hours late. We built an agent that answered within two minutes, qualified the lead, and dropped a booked call into the calendar. No new phone, no new headcount, just one workflow that stopped the leaks. The tool was never the bottleneck. The unowned process was.

Where does this go wrong?

Two common mistakes. First, buying the shiny thing before mapping the process, which is exactly the Vertu trap at a smaller scale. More tools is not more progress. Second, letting the agent do irreversible or customer-facing things with no human check. Reversible work (drafting, sorting, logging) can move fast. Anything public or hard to undo needs a person in the loop. Design the guardrail to match the risk, and the agent becomes a reliable teammate rather than a liability.

The takeaway from the Vertu story is not that AI agents are overpriced. It is that the value was never in the device. It was in the work the agent quietly takes off your plate.

If you want to see where this fits, grab a free 20-minute audit and we will show you which repetitive workflow is quietly costing you the most hours, and how an agent could take it over first.