Use cases by outcome
Ways sellers and sales leaders use AI, grouped by what they help with: pipeline, earnings, and customer service.
More pipeline · More money · Better service
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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Ways sellers and sales leaders use AI, grouped by what they help with: pipeline, earnings, and customer service.
How established companies are putting AI to work in their commercial teams, shared as examples, not promises.
New releases from the AI labs, explained by which sales outcome they could affect.
The course · 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).
46 plug-and-play prompts, message frameworks, and review checklists (32 prompts, 4 frameworks, 10 checklists) for LinkedIn + email sequences inside large accounts.
Here’s what you’ll discover inside
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).
The high-leverage moments in prospecting, research, personalization, and follow-up (and the busywork that looks productive but doesn’t).
Hiring signals, tech changes, competitor chatter, and internal champions (without drowning in dashboards).
Turn public and CRM context into one sharp “why them / why now” narrative per account (so every touch feels researched, not templated).
Reusable structures for connection notes, first DMs, bump sequences, and breakup messages (tuned for enterprise tone, not startup spam).
A fast review checklist so AI drafts never leave your brand voice, compliance line, or ICP (protecting you inside regulated and brand-sensitive orgs).
How to map stakeholders and sequence outreach across economic buyers, champions, and blockers (without sounding like six different people).
A lightweight operating cadence for using AI every week: signals → shortlist → angles → sends → reviews (so adoption sticks past week two).
Which leading indicators to track (reply quality, conversations started, opportunity creation) so leadership sees pipeline impact (not vanity “AI usage” scores).
Framing tools, data, and guardrails so security and enablement say yes faster (instead of blocking another “shadow AI” experiment).
Playbooks for managers: coaching loops, shared prompt libraries, and quality bars that scale without killing personalization.
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).
How to present your AI pipeline results in a 1-slide narrative executives actually remember (with stakes, proof, and the next ask).
Why Jason
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.
Career and education
MilliporeSigma, since March 2026. He leads North America commercial analytics, forecasting, and AI.
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.
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.
University of Southern California, 2001.
Inside the AI Outreach Playbook
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.
The inputs every later prompt depends on, and the habit of tracing every fact
Openers, three message frameworks, and the review kit you’ll run on everything after
Comments, connection notes, DMs, InMail, and a close-the-loop note
Subject lines and first emails for different starting points
Bumps, a breakup email, and a consistent note to a second stakeholder
Skeleton, angle rotation, spacing, stop rules, and whole-sequence review
Sorting a reply and answering the two most common kinds
Guarantee
If Pipeline Lab isn’t clearly helping your team spot better opportunities and run sharper AI-assisted outreach within 30 days, email us for a full refund — no hoops.
Request Pipeline Lab access
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The hub stays open without an email address. We only use email for three things: the Monday digest, downloads like the free guide, and the Pipeline Lab course waitlist. To join the waitlist, use the SI Commercial Community sign-up form.