Practical program for B2B teams

More Efficient Sales with AI

Build an AI-assisted sales workflow around real prospects, conversations, follow-up, and metrics.

See what we work on
Start
June 10, 2026
Duration
4 weeks
Format
Learn by doing
Seats
20 participants

For teams already selling that want more operational clarity.

It works best when there are calls, prospects, messages, CRM data, WhatsApps, emails, proposals, or transcripts we can analyze.

Sales as an operating priority, not a matter of luck.

A short context piece for why this program starts with real conversations, follow-up, and commercial discipline before automating.

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.

Not a fit

  • Companies starting from zero.
  • Teams without a validated offer.
  • Businesses without sales history or real conversations.

A clearer, less manual sales process.

We use AI to organize research, follow-up, and commercial learning while keeping human judgment in every step.

What we work on

Four parts of an AI-assisted sales workflow.

We work on a real case from your company, not generic examples.

01

Prospecting and prioritization

Research accounts, enrich leads, clean lists, and prioritize prospects with stronger commercial fit.

ClayPerplexityLinkedInAI models
02

Sales conversation analysis

Detect objections, buying patterns, loss reasons, frequent questions, and intent signals.

TranscriptsCRMWhatsAppEmail
03

Follow-up and nurturing

Prepare segment-based messages and follow-ups without sounding generic or spamming. Humans still decide.

PromptsSegmentsFollow-upsContent
04

Case studies and decisions

Review real implementations to decide what to automate, what to measure, and what should stay with the team.

Voice botsChatbotsMarketingKPIs
Tools you will get to know

This is not about memorizing software. You will learn where each tool fits inside an AI-assisted sales workflow.

Applied cases

Guests and examples from real implementations.

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.

Case 01

Voice bots for qualification and recovery

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.
Case 02

Chatbots for B2B support and conversion

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.
Case 03

How to support the marketing 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.
Structure

A 4-week, learn-by-doing program.

Each session advances a real company case and leaves applied work for your sales workflow.

Team

  • Alexander Torrenegra

    Alexander Torrenegra

    Founder of Torre, Bunny Inc, and Voice123, and investor on Shark Tank. He has supported innovation initiatives with organizations such as Nestlé, Enel, and Government entities in Colombia.

  • Tania Zapata

    Tania Zapata

    Chairwoman at Bunny Inc and co-founder of Voice123. Today she supports companies as a consultant, with learnings from Stanford and MIT.

  • Alan Arguello

    Alan Arguello

    Electrical and Software Engineer pursuing a master's degree in AI and alumnus of Platanus Ventures, a selective program for technical founders.

StartWednesday, June 10, 2026
01

Session 1: Sales diagnosis

Diagnosis of the current sales workflow and AI opportunities.

02

Session 2: Research and prioritization

Research, lists, segmentation, and prospect prioritization.

03

Session 3: Conversations and objections

Analysis of conversations, objections, and improvement opportunities.

04

Session 4: Cases, follow-up, and operating system

Applied cases, follow-up, KPIs, and an AI-assisted commercial operating system.

Final deliverable

An AI-assisted sales workflow you can use.

By the end, each participant should have an operational base they can apply in their company.

  • A prioritized prospect list or segment.
  • Qualification criteria.
  • Prompts and processes to research accounts.
  • Analysis of real conversations or messages.
  • Follow-up structure by segment.
  • Minimum KPIs to measure whether it is working.
Investment

Investment and seats

Includes four applied working sessions on your sales operation. We only open 20 seats so we can work with enough context.

Price per personUSD $1,249
Seats
20 participants
Format
4 live sessions
Work
Real company case
FAQ

Frequently asked questions

Direct answers about scope, required level, and expectations.

Does this guarantee I will sell more?

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.

Is this for companies just starting out?

Not ideally. It works best for companies that already have revenue, already sell, and already have commercial information we can use.

Do I need to know Clay, Lemlist, or similar tools?

No. The tools are learned during the process. What matters is that you have a real sales workflow to work on.

Is this a course?

No. It is a practical program. Theory exists only insofar as it helps build something useful for your operation.

Next step

Build a clearer, measurable, less manual sales workflow.

If you already have a sales operation and want to work with AI on real data, conversations, and follow-up, apply to the program.