Enterprise sales rarely go the way founders think it will.

On paper, it’s logical: build something better → show ROI → close big customers → scale.

In reality, it’s much messier and deeply human.

Because inside large organizations, buying software isn’t just a technical decision. It’s a career decision. It’s a political decision. It’s a risk transfer decision.

In this episode of Between Two Quarters, we sat down with Liz Ward — someone who has lived nearly every side of this equation within the world of enterprise logistics and supply chain. She started out working for her family’s multi-generation trucking operation, became an intelligence analyst mapping illicit supply chains, before moving over to early operator at Convoy helping build enterprise logistics relationships, and finally working as the bridge between corporations and startups at Zbox. Today she is an independent advisor to startups and enterprises alike on how to adopt and deploy new technologies. 

As she tells it, across all of those vantage points, one pattern kept showing up:

Enterprises don’t buy innovation.  They buy risk reduction — and only when they have to.

The Myth of Enterprise “Innovation Appetite”

If you spend enough time around enterprise buyers, you’ll hear a version of the same narrative:

“We’re very excited about innovation.”
“We’re looking at AI across the organization.”
“We want to partner with startups.”

Sometimes that’s true – but not always. 

Liz framed it in a way we haven’t heard before – not as good buyers vs bad buyers, but as three different psychological operating modes.

There are buyers trying to reduce real business risk.
There are buyers trying to signal relevance.
And there are buyers trying to create strategic optionality.

Only one of those groups consistently writes checks.

And most early-stage companies can’t tell the difference because interest feels like progress.

This dynamic is showing up even more in the age of AI. Early in the cycle, companies ran dozens of pilots simply to understand the technology surface area, but only a small fraction ever made it to production, forcing buyers to get far more disciplined about outcomes, governance, and risk thresholds.

As we’ve discovered already: Enterprise buying isn’t getting slower – it’s simply getting more intentional.

Why Legacy Industries Don’t “Modernize” the Way Software People Expect

One of the most underappreciated parts of Liz’s story is that she didn’t enter supply chain from the tech side. She grew up inside it — family trucking business, real payroll risk, real working capital pressure, real operational constraints.

That matters.

Because most legacy industries aren’t resisting modernization because they’re irrational.

They’re resisting because:

• The system is already fragile.
• Margins are already thin.
• Operations don’t stop long enough to safely swap infrastructure.

That’s why enterprise AI effort often stalls at pilot. (See our last episode, where Rishi Dave, Expert Partner from Bain & Company talked about why “pilot” is becoming a dirty word!) In controlled environments, teams can hide data fragmentation, governance gaps, and workflow disruption. But at scale, data quality, access, and organizational alignment become the real gating factors.  

This is especially true in verticals where infrastructure evolved through acquisitions, regional systems, or decades of incremental change.

From the outside, it looks like “slow adoption.”

From the inside, it looks like survival math.

The Founder Trap: Chasing Logos Instead of Learning Velocity

One of the strongest opinions Liz shared — and one we’ve seen repeatedly across the nvp galaxy — is that early startups often target the wrong enterprise tier.

The gravitational pull toward Fortune 500 logos is strong.
Investors ask for them. (Guilty!) Decks highlight them. Boards celebrate them.

But early enterprise traction is less about brand signaling and more about learning density.

Mid-market companies often hit the sweet spot:

• Big enough to have real problems
• Small enough to move
• Close enough to operators to get real feedback
• Less buried under innovation theater

And in many cases, these organizations are still growing fast enough to have something enterprise sometimes loses: urgency.

Why the AI Moment Feels Different — But Also Familiar

The current AI cycle is accelerating interest across every vertical.

But structurally, the buying motion is converging with traditional enterprise software faster than most founders expected.

Procurement is becoming checklist-driven.
Governance is becoming mandatory.
Security documentation is table stakes.
Production readiness is replacing demo performance.

In other words: AI is moving from experimentation budget to operating budget.

And when that happens, enterprise buying always changes behavior.

One Underrated Distribution Channel in Vertical Markets

One suggestion that Liz made that we haven’t heard before was around how powerful industry associations can be as an early distribution channel.

While we haven’t heard guests on Between Two Quarters talk directly about industry associations as a go-to-market strategy, we have heard a consistent pattern across conversations: trust and word of mouth are two of the most powerful drivers of enterprise adoption.

It makes sense, then, that industry associations are one of the best places to cultivate relationships with the exact people who influence buying decisions — operators, functional leaders, and industry insiders who are constantly pressure-testing new ideas against real operational constraints.

If you’ve spent time inside vertical industries, this is intuitive. Associations aren’t just mailing lists or annual conferences. They’re where operators go to learn from each other, validate what’s real versus hype, and translate new technology into language that actually makes sense on the ground.

They’re trust networks.
They’re education channels.
They’re quiet media machines.
And most importantly, they’re where real practitioners spend time.

That matters, because new technology — especially in legacy industries — rarely spreads through cold outbound. It spreads through operator-to-operator credibility.

In many vertical markets, the first time a new category “makes sense” operationally isn’t in a sales meeting. It’s in a working group, a roundtable, or a side conversation with someone who’s already tried it.

For founders selling into legacy industries, that can often be a higher-ROI starting point than broad outbound or generic top-of-funnel marketing.

Early Enterprise GTM Is Not Delegatable

In the first phase of enterprise GTM, founders aren’t just selling.

They’re discovering:

• Where urgency actually exists
• Who owns the problem
• How budgets really move
• Which workflows break adoption

That work shapes product roadmap as much as revenue pipeline.

Which is why the highest-leverage exercise might be the simplest — and should be done by the founder:

Go offline.
Map the problems you solve exceptionally well today.
Map the problems you’ll solve exceptionally well in 12 months.
Then find the companies already feeling that pain.

Not the ones who say they want innovation — but the ones who can’t afford not to change.

As Liz put it: “This is beyond a BDR.”

The Real Enterprise Sales Insight

Enterprise sales isn’t persuasion – it’s alignment.

Alignment between:

• A real operational constraint
• A buyer who owns the outcome
• A solution that reduces personal + organizational risk
• And a timeline where change is already inevitable

If you find that intersection, enterprise cycles feel fast.

If you don’t, they feel endless.

Check out the full conversation below, and for more of nvp capital’s Between Two Quarters, visit www.nvpcap.com/content