Good fit
- Founders, CEOs, and commercial managers.
- B2B teams with customers, pipeline, or sales history.
- Companies with inconsistent or manual follow-up.
- Operations with scattered commercial information.

Build an AI-assisted sales workflow around real prospects, conversations, follow-up, and metrics.
It works best when there are calls, prospects, messages, CRM data, WhatsApps, emails, proposals, or transcripts we can analyze.
A short context piece for why this program starts with real conversations, follow-up, and commercial discipline before automating.
We use AI to organize research, follow-up, and commercial learning while keeping human judgment in every step.
We work on a real case from your company, not generic examples.
Research accounts, enrich leads, clean lists, and prioritize prospects with stronger commercial fit.
Detect objections, buying patterns, loss reasons, frequent questions, and intent signals.
Prepare segment-based messages and follow-ups without sounding generic or spamming. Humans still decide.
Review real implementations to decide what to automate, what to measure, and what should stay with the team.
This is not about memorizing software. You will learn where each tool fits inside an AI-assisted sales workflow.

In addition to building your own workflow, we analyze concrete cases to clarify possibilities, risks, and decision criteria.
The intent is to bring guests and operators when relevant, prioritizing cases that help you make better decisions for your workflow.
How a sales operation can use assisted calls to qualify, recover conversations, and free team capacity.
What to automate, where a human should step in, and which metrics to review before scaling the flow.How to design conversational flows that answer questions, capture context, and connect to sales without feeling like a form.
How to avoid generic answers and turn conversations into actionable data for the commercial team.How to translate sales signals into product marketing: website copy, messaging, content, and social channels.
How to turn objections, questions, and use cases into clearer narrative that attracts and educates prospects.Each session advances a real company case and leaves applied work for your sales workflow.
Team



Diagnosis of the current sales workflow and AI opportunities.
Research, lists, segmentation, and prospect prioritization.
Analysis of conversations, objections, and improvement opportunities.
Applied cases, follow-up, KPIs, and an AI-assisted commercial operating system.
By the end, each participant should have an operational base they can apply in their company.
Includes four applied working sessions on your sales operation. We only open 20 seats so we can work with enough context.
Direct answers about scope, required level, and expectations.
No. It would be irresponsible to promise that. The goal is to help you operate your sales process better, reduce manual work, and make better decisions with clearer information.
Not ideally. It works best for companies that already have revenue, already sell, and already have commercial information we can use.
No. The tools are learned during the process. What matters is that you have a real sales workflow to work on.
No. It is a practical program. Theory exists only insofar as it helps build something useful for your operation.
If you already have a sales operation and want to work with AI on real data, conversations, and follow-up, apply to the program.