More pipeline · More money · Better service

Start as an AI beginner. Finish AI-native.

SalesUseCases.ai is an open hub of AI use cases for everyday professional sellers and sales leaders at established companies, in any industry. Browse it free. Email is only for the Monday digest, downloads, and the course waitlist.

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30-day money-back guarantee Instant access Video + playbooks

AI use cases for sellers, organized by outcome.

No login and no email needed to read it. Start from the result you’re working on, not the tool.

Use cases by outcome

Ways sellers and sales leaders use AI, grouped by what they help with: pipeline, earnings, and customer service.

Real company examples

How established companies are putting AI to work in their commercial teams, shared as examples, not promises.

AI lab updates, tied to outcomes

New releases from the AI labs, explained by which sales outcome they could affect.

A video system, plus the playbook that makes it usable.

Pipeline Lab

Online video course for everyday professional sellers and sales leaders who want AI that helps them grow pipeline, earn more, and serve customers better (not slideware).

Bonus

AI Outreach Playbook

46 plug-and-play prompts, message frameworks, and review checklists (32 prompts, 4 frameworks, 10 checklists) for LinkedIn + email sequences inside large accounts.

Thirteen moves from “we should try AI” to a motion that fills the funnel.

01

The Enterprise AI Pipeline Map

A clear 5-stage path from “we should try AI” to a repeatable motion that fills the funnel (so AI stops being a side experiment).

02

Where AI actually moves pipeline

The high-leverage moments in prospecting, research, personalization, and follow-up (and the busywork that looks productive but doesn’t).

03

How to spot real buying intent inside large orgs

Hiring signals, tech changes, competitor chatter, and internal champions (without drowning in dashboards).

04

The Account Angle Method

Turn public and CRM context into one sharp “why them / why now” narrative per account (so every touch feels researched, not templated).

05

Prompt systems that sound like your best AE

Reusable structures for connection notes, first DMs, bump sequences, and breakup messages (tuned for enterprise tone, not startup spam).

06

Human-in-the-loop QA

A fast review checklist so AI drafts never leave your brand voice, compliance line, or ICP (protecting you inside regulated and brand-sensitive orgs).

07

Multi-threading with AI assist

How to map stakeholders and sequence outreach across economic buyers, champions, and blockers (without sounding like six different people).

08

The Pipeline Weekly Rhythm

A lightweight operating cadence for using AI every week: signals → shortlist → angles → sends → reviews (so adoption sticks past week two).

09

Metrics that prove it’s working

Which leading indicators to track (reply quality, conversations started, opportunity creation) so leadership sees pipeline impact (not vanity “AI usage” scores).

10

How to get IT / RevOps buy-in

Framing tools, data, and guardrails so security and enablement say yes faster (instead of blocking another “shadow AI” experiment).

11

Rollout for a team of 10–200

Playbooks for managers: coaching loops, shared prompt libraries, and quality bars that scale without killing personalization.

12

Turning replies into pipeline

AI-assisted triage and response frameworks for interested, curious, OOO, and “not now” threads (so warm leads don’t go cold and every buyer gets a timely, useful answer).

13

The case for leadership

How to present your AI pipeline results in a 1-slide narrative executives actually remember (with stakes, proof, and the next ask).

Most AI advice is written from the outside. Jason’s comes from inside an established company.

Most AI advice comes from people who’ve never carried commercial responsibility inside a large, established organization. Jason Jaurequi has spent his career there, over 20 years in life science, where the work is deeply technical.

Based in San Diego, he has worked in commercial roles for over 20 years and has led AI pilots, AI implementation, and AI advisory boards from the inside. SalesUseCases.ai and the Pipeline Lab course are built from that experience, for sellers and sales leaders in any industry.

  • Over 20 years in life science
  • Commercial function experience
  • Has led AI pilots
  • Has led AI implementation
  • Has led AI advisory boards
  • Over 20 years of rock-solid commercial experience
Now

Director, Commercial Analytics & AI

MilliporeSigma, since March 2026. He leads North America commercial analytics, forecasting, and AI.

MilliporeSigma

Head of Digital Sales & Customer Engagement

October 2024 to March 2026. A 20-person organization and a $150M portfolio, with 5%+ growth in 2025. At MilliporeSigma, sales enablement used by 300+ sellers, forecast accuracy within 2% of quarterly actuals, and an AI for Sales pilot of about 5+ hours per week per rep.

Thermo Fisher Scientific

Senior sales representative

Nine years, November 2004 to October 2013, including an $11M San Diego territory. Thermo Fisher Global Customer STAR Award, top 1% of employees globally, in 2010.

Education

BS, Biomedical/Biochemical Engineering

University of Southern California, 2001.

46 tools, set out as a seven-stage learning path.

Prompts, message frameworks, and checklists for LinkedIn and email outbound inside large accounts. Each stage gives you a small set of tools, and each set uses what you built in the stage before it — with your judgment still in charge of every send.

32Prompts
4Message frameworks
10Checklists
46Total items
  1. Stage 16 items

    Foundations: your voice, your offer, your facts

    The inputs every later prompt depends on, and the habit of tracing every fact

  2. Stage 210 items

    One message, built and checked

    Openers, three message frameworks, and the review kit you’ll run on everything after

  3. Stage 39 items

    LinkedIn touches

    Comments, connection notes, DMs, InMail, and a close-the-loop note

  4. Stage 47 items

    First emails

    Subject lines and first emails for different starting points

  5. Stage 55 items

    Follow-ups and second threads

    Bumps, a breakup email, and a consistent note to a second stakeholder

  6. Stage 66 items

    Sequences as a system

    Skeleton, angle rotation, spacing, stop rules, and whole-sequence review

  7. Stage 73 items

    First replies

    Sorting a reply and answering the two most common kinds

30
days

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