The GTM Agent Deployment Sequence
Roll out AI sales agents in the order of lowest effort and highest ROI: start with support, end with reactivation.
- Difficulty
- Moderate
- Time to result
- ~months to results
- Steps
- 4
- Confidence
- 90%
A staged order for introducing AI agents into a go-to-market org so each one delivers ROI before you attempt the next. Start where you're currently doing nothing (support), then outbound, then inbound qualification, then reactivating leads humans abandoned. Use it when you want to replace or augment a sales team with agents without boiling the ocean.
Origin
Lemkin recounts how SaaStr accidentally discovered the sequence: a general 'digital Jason' clone (Delphi) started answering support tickets on its own, then closed a sponsorship. From there he deliberately layered on an outbound agent (Artisan), an inbound qualifier (Qualified), and finally Agentforce for reactivating dead leads.
Core principles
- 01Start where you're currently doing nothing — if the baseline is zero, any working agent is pure upside.
- 02Support is the safest first deployment because it's high-frequency and low-stakes to correct.
- 03Reactivating leads humans ignored is the highest-response, lowest-conflict use of an agent.
- 04Each agent stage should prove ROI before you add the next.
How to run it
- 1
Deploy support first
Point an agent at your existing docs/website and let it handle 24/7 support. This is the safest start because most companies do it badly or slowly today, so the bar to beat is low.
Pro tip You don't need to buy the biggest-name support tool — even a general digital clone can start answering questions.
Watch out Watch early outputs closely; agents will confidently state wrong facts (e.g. wrong event dates) until corrected.
- 2
Add outbound
Use an outbound agent to email your existing database (lapsed customers, past attendees) with a specific ask. SaaStr ran ~60,000 outbound emails this way.
Pro tip Pick a vendor whose team will actively help you train and deploy, not just sell you a login.
- 3
Add inbound qualification
Put an agent on your website's contact/inbound flow so prospects get an instant response 24/7 instead of waiting days for a human. It qualifies and books the meeting automatically.
Pro tip The win here is that no human wanted to pick up these leads at 11pm on a Saturday — the agent captures deals humans would have lost.
- 4
Reactivate abandoned leads
Deploy an agent specifically on the leads your human reps decided weren't worth their time. SaaStr got a 70% response rate on these because the prospects were eager to engage.
Pro tip These 'lead-rich' segments exist even at large companies — reps simply never follow up with them.
In the wild
SaaStr's 'digital Jason' clone was built to answer founder questions, but attendees began asking event logistics questions (refunds, discounts, venue). The agent handled support on its own — and then closed a $70k sponsorship unprompted.
→ Proved a horizontal, non-sales-trained agent could both support and close, seeding the whole rollout.
SaaStr aimed Salesforce's Agentforce only at leads human reps had passed on. Trained on a similar prompt to the working agents.
→ 70% response rate on leads humans had abandoned.
Common mistakes
Trying to start at the hardest stage
Companies attempt full autonomous closing before mastering support. Start where the baseline is zero and stakes are low.
Buying an untrained agent and expecting magic
A public $10B+ company gave an untrained agent to junior SDRs expecting it to sell on its own. It doesn't work that way — each stage needs training.
Is it for you?
Best for
Founders and GTM leaders at companies with an existing customer/lead database who want to replace or shrink a human sales team with agents
Not ideal for
Very early startups with only a handful of prospects, where a human can personally touch every lead
From the transcript
“so one place to start if you haven't started is in support”
“the next place we started so for us the long game for the next place we started is hey we want to try outbound”
“We just took Asian Force just on those. Okay. And we trained it on very similar prompt. It had 70% response rate.”
From the episode
We replaced our sales team with 20 AI agents—here’s what happened
Jason Lemkin (SaaStr)