Why I Prefer a Clear AI-Assisted Service to a Vague Automation Offer

My objection to a vague AI automation offer starts with the buying conversation. If I tell a business I can implement AI, it still has to work out what that means, what it will receive and why it should pay for it. I prefer to begin with a recognizable service and use AI inside the delivery process rather than make the technology the entire proposition.

Explain what the business will receive

I contrast implementing AI with a service such as building a marketing funnel, an email marketing system or sales copy. The latter gives the buyer a clearer picture of the work and the business goal.

A broad technology offer can lead to a meeting where the provider proposes unrelated possibilities until the buyer chooses one. That leaves the actual scope to be discovered after the initial sales conversation, which is part of the difficulty I am warning about.

Client Ascension related reading: the value proposition guide separates the work delivered from the buyer's reason to want it.

Recognize when integration becomes process consulting

The hypothetical client in the lesson has several connected platforms, custom integrations and an unclear collection of automations. An apparently small build becomes an investigation into how the systems work together.

If the client cannot explain what happens when a lead arrives, the provider is also designing the business process. That is a different assignment from simply connecting a tool, and it can make a narrowly priced project much more demanding than expected.

Choose a defined service instead of an open-ended technology promise

My alternative is an AI-assisted marketing service with an output the buyer already recognizes. The examples include funnels, email sequences, ad copy, content and sales pages.

I want the provider to retain responsibility for strategy and quality control while using AI to help produce the work. The commercial promise remains the service and its intended result, rather than the novelty of the tool.

Separate a custom service from reselling access

I also distinguish delivering a service from marking up another company's software. If the offer is only access to a tool the customer could purchase directly, the provider needs to explain what additional work or value it is actually supplying.

The route I favor in the lesson is a custom marketing deliverable. That makes the work performed for the client central to the arrangement instead of relying only on the customer's unfamiliarity with the underlying software.

Use technology to change fulfillment rather than invent demand

I use the comparison of a business adopting better infrastructure to explain my position: a new technology can change how the work is done without replacing the underlying business model.

For the marketing service, that means choosing a known output and learning where AI can assist its production. It is a different starting point from selling an undefined implementation and discovering all of the technical requirements after the client has paid.

Client Ascension related reading: Nick's Buzzle case study is a separate example of an agency defining its offer and delivery operation.

Keep the proposition tied to a deliverable

The decision I am describing is about what the agency sells and the scope it takes responsibility for. A clearer service does not eliminate the need to understand the client, deliver useful work and check its quality.

My preference is to start with the business result and the recognizable work needed to pursue it, then use AI in the fulfillment. That keeps the buyer's reason for purchasing separate from the technology used behind the scenes.

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