Three AI-Assisted Services I Would Test With a Small Budget

I would start with a specific service a business already understands: writing its content, writing its emails or teaching its team a useful AI workflow. Those are the three examples I set out after a subscriber asked what I would do in his situation.

I separate simpler services from more complex, higher-lifetime-value offers. A low barrier to starting does not mean acquiring clients is easy. In this lesson, I describe the simpler services as harder to sell even when the delivery is relatively straightforward.

Use free examples to start a ghostwriting conversation

For LinkedIn ghostwriting, I would study established B2B accounts and the posts that get engagement, then look at the people engaging with them. I would manually approach a relevant founder with an offer to write three sample posts, instead of building a complicated funnel first.

The samples need context about that founder's business and audience. I described giving ChatGPT examples of effective posts, asking it to draft for the specific client, then reviewing and editing the result before sending it. The examples inform the work; the actual proposed posts are for that client's business.

Make the client interview the source material

My delivery example starts with a one-hour interview. I would ask AI for questions that draw out enough material to create posts, record the conversation and work from its transcript. Each week, I would draft posts from that material, review them and send them to the client or schedule them.

For pricing, I gave an illustrative offer of five posts a week for $500 to $1,000 a month. Five clients paying $750 would be $3,750 in monthly revenue. That is arithmetic for a possible client roster, not income someone has already earned or a promise of what a beginner will make.

Client Ascension related reading: Oleg’s outbound agency account discusses moving from custom AI work to a repeatable service.

Apply the same process to email copy

For email work, I would subscribe to a prospect's list, look at what they send and prepare sample emails for that business. The service I described included behavioral email flows and broadcasts, rather than just selling generic AI-generated copy.

A sales-call-based business can provide call transcripts as source material. For an ecommerce business, I described researching its target market and pain points. In either case, I would combine the material with email examples, draft sequences and review the work before delivery.

The monthly email price range I used was $750 to $1,500 per client. A roster of four or five clients would produce different revenue depending on that price. Those figures illustrate packaging; they do not establish demand, profit or a deadline for finding clients.

Teach a useful workflow instead of doing it forever

The third model is a done-with-you version of a service. I used the example of an ad-creative client who added an offer teaching companies to make their own creatives with AI. The buyer is paying to learn a useful process rather than outsourcing the output indefinitely.

I would begin with a consultation about the team's workflow, find a few places AI could help and build prompts and processes around those tasks. Then I would train the team and, if the arrangement included ongoing support, help them keep using the process. Email writing, research and content creation were examples of work to teach.

I illustrated this with a $1,000 to $2,000 one-time training payment or a $500 monthly support retainer. Those are different arrangements: one-off training revenue is not recurring revenue just because the same number of sales might happen again next month.

Budget for acquisition and review, not only software

I used a historical software-cost example of $20 a month for ChatGPT and $10 for Canva. That was the source of the $30 example, not a current quote for every tool or a complete accounting of what running a business costs.

The practical workload includes outreach, interviews, drafting, editing and client communication. My point was to start with something you can actually deliver and then build from there. The revenue and time examples in the lesson describe possible arrangements; they are not evidence that a particular reader will reach them on schedule.

Client Ascension related reading: the take-home income lesson distinguishes business revenue from what an owner takes home.

Adapted by Client Ascension with AI assistance from Daniel Fazio's lesson. The first-person narrative follows the source speaker’s account. Watch the original video