AI Outbound: What Top SaaS Teams Are Actually Doing in 2026

AI in sales is everywhere in 2025. Every vendor promises self driving GTM, AI SDRs, automated outbound and instant pipeline creation. Most of it is noise. The useful part is much smaller.

The real question for revenue leaders is simple.

What are top performing teams actually doing with AI today, and what does that mean for building a competitive GTM in 2026?


The 'death of the sales rep' is exaggerated

The sales rep is not dead. The hiring pattern has changed because AI now handles the repetitive work that used to sit on junior reps.

What is happening in real teams:

  • Traditional BDR and SDR roles are declining

  • Hybrid commercial and technical roles are rising, especially GTM Engineers

  • AEs are taking more targeted outbound responsibility because AI cannot replace context or judgement

The biggest shift is operational.
Outbound is being centralised inside GTM or Growth rather than inside each rep’s inbox.

This centralised model defines the winning teams:

  • ICP logic centralised

  • Sequencing centralised

  • Data and enrichment centralised

  • Trigger logic centralised

  • Reps focused on qualification and conversations, not process or admin

AI has not removed sellers. It has removed the low value work that used to slow them down.

Let's break down how this looks, channel by channel.

Email: AI is now competitive with human writing

Email is the channel that AI has changed most.

Human SDR outbound averaged roughly 2 to 4 percent reply rates in 2024. AI driven outbound has now closed most of that gap. Several SaaS companies now see AI sequences performing at the same level as human written sequences.

This is the workflow top performing teams actually use:

  • Human built ICP lists in Clay or LinkedIn Sales Navigator

  • Trigger scanning and enrichment inside Clay

  • Processing through OpenAI, Twain, Grok or custom prompts through Zapier or n8n

  • Sequencing inside Instantly, Outreach, SalesLoft, Lemlist or HubSpot

The tools vary but the pattern is identical.
Humans define the ICP and the logic.
AI executes the volume and the personalisation at scale.

This is why low quality automation agencies get poor results. Most of them automate without strategy.
The companies that win either hire GTM Engineers internally or work with specialist outbound agencies who build and maintain sophisticated workflows.

If you want introductions to the ones who actually produce results, email bill@katapult.amsterdam.

LinkedIn: behind email, improving fast

LinkedIn does not allow the same level of automation as email.
Manual personalised InMails still outperform everything else.

AI is useful on LinkedIn, but it sits in the support and writing layer, not the sending layer.

Teams that are winning on LinkedIn use a mix of these tools:

  • Taplio for AI written message suggestions

  • Lemlist LinkedIn AI for compliant first line generation

  • Clay plus OpenAI for context, insights and profile analysis

  • HeyReach for safe multi account outbound at scale

  • La Growth Machine for combined email and LinkedIn orchestration

  • Shield for analytics

The formula is simple.
AI writes.
Humans send.
LinkedIn stays clean.

LinkedIn AI outbound at the end of 2025 is roughly where AI email was at the end of 2024. It is getting better, but email is still the more mature channel.

Calling: AI co pilots are real and AI callers are not

AI callers exist, but they cannot replicate the quality of a capable human rep on any call that involves real qualification or real objections.

The real breakthrough is AI that supports reps live.

Gong has moved beyond simple post call analysis. It now provides:

  • live objection prompts

  • reminders to ask discovery questions

  • talk ratio corrections

  • competitor call outs when keywords appear

  • real time coaching overlays

This gives reps something they never had before.
A senior manager is effectively in their ear, guiding them through the call.

Teams using these tools see:

  • faster ramp for new reps

  • cleaner qualification

  • fewer bad calls entering pipeline

  • more consistency across the team

AI is not closing deals.
It is improving the quality and consistency of the humans who do the selling.

The GTM model that will win in 2026

Top SaaS companies are converging on the same operating model.

  • Human led selling

  • AI assisted execution

  • Centralised outbound operations

  • Reps focused on conversations

  • Non human channels managed by a shared GTM function

  • AI handling volume

  • Humans handling nuance

This is the co pilot era.
AI increases scale.
Humans maintain trust.

What the top SaaS teams actually use in their outbound stack

The highest performing teams do not use endless tools.
They use focused stacks that generate leverage.

Email and sequencing

Commonly used tools include:

  • Clay

  • Apollo or ZoomInfo

  • OpenAI, Twain, Grok

  • Zapier or n8n

  • Instantly, Outreach, SalesLoft, Lemlist

  • Lavender

Clay provides insight and automation.
The sequencer delivers the message.
AI produces relevance at scale.

LinkedIn

Typical setups include:

  • LinkedIn Sales Navigator

  • Clay

  • Shield

  • Taplio

  • Lemlist LinkedIn AI

  • LGM

  • Semi automated compliant workflows

AI supports the writing.
Humans execute the sending.

Calling

Teams that perform well on the phone use:

  • Gong or Chorus

  • Aircall, Dialpad or Kixie

  • AiSDR, Bland AI or Synthflow for limited experimentation

  • AI coaching during calls, not AI callers

Data and infrastructure

High performing SaaS teams share the same foundations:

  • Clean CRM data

  • Centralised templates

  • Automated enrichment

  • Lead scoring before reps touch anything

  • Guardrails that prevent AI driven spam

AI will multiply the quality of whatever system you already have.
If your system is sloppy, AI will simply scale the sloppiness.
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These insights come directly from data and workflow analysis across our fifty active SaaS partners.
If you want guidance on integrating AI tooling into your GTM stack or want introductions to agencies and GTM engineers who are actually producing results, email bill@katapult.amsterdam.