AI for business · From my channel
An AI sales meeting: discovery, demo and pilot
A meeting can end with 'that is interesting' and go no further. In this video, I examine one possible reason: showing the solution before understanding the problem. I share the sequence I use to give the conversation clear context.
English article adapted with AI assistance from the transcript of my Spanish video. About this adaptation · Explore my channel
Eric Muriel · Own content · original Spanish video · Published on May 8, 2026. YouTube loads when you press play.
01Describe the process and ask for confirmation
Start with what happens in the business: the task, the people involved and the time it takes. Offer a provisional description and let the other person correct it. Their data matters more than an assumption prepared before the call.
In the recording, I emphasise asking questions and allowing time to answer. Silence is for listening, not cornering someone. If they do not know a figure, mark it as pending rather than filling it in to make the proposal more convincing.
Reference [1]: Eric Muriel · YouTube
02Put the cost of the problem in context
The next step is to express the process in a measure the company understands. It might be team time, errors that require review or repeated tasks. If you express it in money, explain how you calculated the estimate.
Do not confuse theoretical hours saved with actual financial savings. To apply the video's idea, use a working scenario and state its assumptions. The aim is a shared reference that can later be checked.
03Show a demo related to that case
The demonstration comes after discovery. In the video, I suggest making it resemble the process you just described so the client can see where it fits. A brief, focused demo is often easier to discuss than a tour of every feature.
Use sample data if you do not have authorised business information. Explain what is simulated and what is genuinely connected. The client's questions can then help validate the flow and reveal what is still missing.
04Review the proposal's impact and limits
Present the scope, cost and improvement hypothesis together. The video's return examples illustrate how those pieces connect; they do not replace measurement of the actual case or ensure the investment will pay for itself by a particular date.
If the scope is excessive, consider reducing it to a testable module. That changes both the delivery and the fee, without pretending a discount automatically preserves the same complete work.
05Propose a pilot and clarify what information is missing
The conversation can end with a pilot to check the process with the team. Define what you will test, for how long and which result will help you decide whether to continue. It should be possible to accept or reject the next step without pressure.
If the client needs time, ask which information is missing. There may be technical doubts, different priorities or a genuinely limited budget. An objection is an opportunity to understand the situation better, not evidence that the sale is already secured.
Sources and further reading
These references expand on the concepts indicated. The examples and exercises are original editorial material.
[1] Eric Muriel · YouTube
An AI sales meeting: discovery, demo and pilot ↗
Primary source: the author’s Spanish video and supplied transcript. Personal experiences retain their original context and date.
Back to the related section
Companion video · YouTube
An AI sales meeting: discovery, demo and pilot ↗
Eric Muriel | IA ·
English translation of an AI-assisted adaptation of the transcript supplied by Eric Muriel. The original video is in Spanish. Verbal fillers and transcription errors have been edited, and examples distinguished from promises of results. Suggested exercises are editorial additions. Tools and interfaces reflect the recording date, except for updates identified with sources.
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