There are 7 places you can use #AI in your sales motion.

At some deal complexities, AI accelerates everything.
At others, it destroys the one thing that closes deals:
buyer trust.

Here's the full breakdown.

I've been studying how #perception works across B2B buyer interactions, and AI has introduced a pattern I haven't seen before.

For the first time, the tool that saves time is also the tool that can silently kill credibility.

And nobody has mapped where the line is.

So I did.

Save this.
The AI-in-sales debate ends here.

The confusion exists because people argue in absolutes.

"AI SDRs are the future."
"AI emails are spam."
"Use AI for everything."
"Never let AI touch your sales."

None of these are right.

Because AI effectiveness isn't binary.
It shifts based on one variable:

How complex is the deal?

Complexity isn't just ACV.

It's a combination of:
→ Number of stakeholders involved
→ Length of evaluation cycle
→ Depth of customization required
→ Risk the buyer takes by choosing you

A $5K self-serve SaaS with one buyer and a 7-day cycle is low complexity.

A $150K platform deal with 6 stakeholders, a 120-day cycle, and a security review is high complexity.

Same "B2B SaaS."
Completely different AI rules.

Here's what I've mapped across 7 sales activities:

→ Prospecting & list building
→ First outreach
→ Research & personalization
→ Discovery preparation
→ Follow-up sequences
→ Proposal & asset creation
→ Relationship management

At each complexity tier, the right AI usage shifts.

Low complexity:
AI does 80% of the work.
The human reviews and sends.

Medium complexity:
AI does 50% of the work.
The human customizes and adds context.

High complexity:
AI does 20% of the work.
The human leads everything.
AI handles the invisible backend.

The pattern I keep seeing:

Founders at low complexity UNDER-use AI.
They're manually writing emails for $3K deals.

Founders at high complexity OVER-use AI.
They're sending AI-generated outreach to VP-level enterprise buyers who can smell it in the first sentence.

Both are leaving money on the table.

The cheat sheet below maps all 7 activities across 5 complexity tiers.

Plus:
→ Where AI creates leverage vs. where it destroys trust
→ The tradeoff between efficiency and authenticity
→ Specific guidance per tier

This isn't an opinion on whether AI is good or bad.

It's a map of where it works based on what I've observed studying how buyers form trust.

Because trust is structural.
And AI interacts with that structure differently depending on how much is at stake.

Save this.
Audit your current AI usage against it.

You're probably over-using it somewhere and under-using it somewhere else.