Gartner’s latest research: buyers spend just 17% of their total purchasing time in direct contact with vendors. 83% define their requirements before talking to sales. 81% already have a preferred vendor when they finally engage a rep. The buying journey isn’t a funnel anymore. It’s a verdict with an appeals process attached.

The conventional worry about all of this is disintermediation. If buyers reach shortlist without talking to sales, what exactly is sales for?

That’s the wrong question.

The right question is this: when a buyer arrives at 70 or 80 percent of the journey, who is carrying the risk?

It’s not the rep.

The Asymmetry Nobody Talks About

Consider what a CFO, CTO, or Chief Procurement Officer has personally staked by the time they engage a vendor. They’ve built an internal case. They’ve put their credibility on the line with their board, their CEO, their peers. They’ve made a professional judgment about which vendors belong on the shortlist and why. 86% of B2B purchases stall during the buying process, and when they do, someone inside the buying organization owns that failure. If the decision goes wrong — if the implementation struggles, the promised outcomes don’t materialize, the vendor relationship deteriorates — they are exposed. Careers have ended over enterprise software decisions gone bad.

The sales rep carries none of that exposure. If the deal closes and the customer struggles, the rep has moved on to the next quarter. The asymmetry is structural. And it is rarely acknowledged.

This isn’t an indictment of enterprise sales. It’s a design flaw that the industry has been slow to recognize. In the old model, the one enterprise sales was built for, the human relationship formed early, developed over time, and quietly absorbed much of this risk. The buyer didn’t just trust the vendor. They trusted a person. “I know this rep. They’ll go to bat for us. They know what we need.” That relationship was a rational risk transfer mechanism. The rep’s career incentive, their account ownership, their reputation, all of it created an informal backstop for the buyer’s judgment.

Strip away that early relationship, and the risk doesn’t disappear. It stays with the buyer. And now they’re carrying it alone, built on a thesis assembled from digital signals, with no human ally who helped them form it.

When the Story Doesn’t Match

Here’s where it gets more complicated, and where marketing enters the picture in a way most companies haven’t fully reckoned with.

During that 70 to 80 percent journey, the buying committee isn’t operating in an information vacuum. 70% of buyers say they prefer to learn about a product or service through content — blogs, videos, case studies — rather than traditional sales outreach. They are consuming executive interviews, keynote videos, thought leadership posts, product narratives, analyst briefings. 47% of buyers view three to five pieces of a company’s content before talking to a sales representative.

By the time the rep gets the meeting, the buying committee has already formed a relationship. Not with a person, but with a story.

What happens when the rep’s narrative doesn’t match that story?

Not a jarring, obvious contradiction. Something subtler. A different emphasis. A different vocabulary. The marketing narrative positioned the platform around operational transformation; the rep leads with cost reduction. The exec videos talked about partnership and long-term outcomes; the rep is focused on closing the quarter. The content established one set of expectations about how this company engages; the rep’s behavior signals something different.

The buying committee doesn’t diagnose this as a sales and marketing alignment problem. They experience it as unease. Something feels off. In a low-stakes purchase, that feeling gets rationalized away. In a high-stakes enterprise decision — where careers are on the line and 79% of enterprise deals require final CFO approval — it doesn’t. It becomes a quiet reason to slow the process, reopen the evaluation, or move toward a competitor who feels more coherent.

The deal doesn’t die loudly. It just stops moving.

Ground Truth

The most sophisticated enterprise marketing leaders are starting to name this problem explicitly. One framework, shared with me by a senior marketing executive at a major enterprise software company, adds a third dimension to the traditional brand and market truth model. Brand truth is what the company believes about itself. Market truth is what analysts, press, and the broader market reflect back. Ground truth is what buyers actually experience and conclude through their own research journey and customer experience.

The insight is that misalignment between these three isn’t just a messaging problem. It’s a trust problem. And in a digital-first buying journey, trust failures are harder to detect and harder to recover from, because there’s no human relationship in place to spot them and absorb the friction.

This is the same dynamic explored in “B2B Branding Has a New Audience” but where that post examines it from the brand and marketing side, the sales consequences are what make it existential. When agentic AI exposes messaging drift across every digital surface, the rep walking into that 80 percent meeting doesn't just carry narrative inconsistency into the room. They’re closing a gap that an algorithm has already scored against them.

For enterprise marketing, the implication is structural. Every content asset, every executive communication, every campaign narrative needs to be built with the rep’s eventual conversation in mind. Not as a constraint on creativity, but as a discipline of coherence. The rep is the last mile of the content journey. 82% of B2B buyers say thought leadership from individuals, not just corporate messaging, influences their purchasing decisions. That makes every exec video, every LinkedIn post, every keynote a load-bearing element of the sales motion. If the last mile contradicts the miles that came before it, the buyer notices. Even if they can’t articulate exactly what they noticed.

And that framework is about to face a stress test nobody designed it for.

Agentic AI Will Make This Worse Before Anyone Notices

Here is the part of this story that isn’t being talked about yet.

Agentic AI is entering the enterprise buying journey, and it is amplifying every tension described above. 90% of procurement executives say they have considered or are actively planning to use AI agents to optimize their procurement operations. Gartner projects that the majority of enterprise software applications will include agentic AI by 2028. Several major procurement platforms; SAP, Coupa, and others, have begun embedding these agents natively. The planning phase is collapsing into deployment. This isn’t a distant future. It’s the next procurement cycle.

What does an agentic AI procurement system actually do? It doesn’t wait for a human to run a search. It autonomously conducts vendor research, synthesizes reviews and analyst reports, scores vendors against predetermined criteria, and surfaces a ranked shortlist. Often before a human buyer has had a single conscious thought about the category. This is the B2A shift — Business to Algorithm — and it’s not emerging. It’s here. Companies that lack clean, structured, algorithm-ready data risk being invisible in digital buying journeys before a human ever enters the picture. Salesforce’s Agentforce and a growing category of purpose-built procurement AI systems are moving this from thought experiment to Q3 budget conversation.

This changes the risk calculus in a way that nobody in enterprise sales has fully processed.

When a human buyer conducts self-directed research, they are forming impressions, making judgment calls, weighing intangibles. There is still a human in the loop who can be reached, influenced, and reassured. When an AI agent conducts the initial research and builds the shortlist, the process is faster, more systematic, and far less transparent. The buying committee receives a ranked list of vendors, and critically, 83% of buyers modify their initial shortlist after conducting further research, with more than a quarter making significant or complete changes. But if the initial list was built by an agent operating on criteria the rep never knew existed, the vendor who scores poorly may never understand why.

The “something feels off” problem gets structurally worse. When a human buyer felt unease, a skilled rep could sometimes read the faint signals, ask the right question, and surface the concern. When an agent scores your company’s narrative consistency across fifty digital touchpoints and weights it against competitors, the friction is invisible. The deal just doesn’t progress. No signal. No conversation. No recoverable moment.

This is why the Ground Truth framework matters more now than it did even two years ago.

A human buyer might feel it. An AI agent will score it. And it will do so at a stage of the journey so early that the enterprise sales rep will never know the conversation was happening.

How Enterprise Sales Actually Needs to Evolve

The rep entering a 70 to 80 percent buyer journey is no longer a pitcher. They are a validator…and more precisely, a risk translator.

The buyer has built a thesis, often over months, increasingly with AI assistance. The rep’s first job is to understand it, confirm what’s right, and carefully address what isn’t. Not to restart the narrative from the company’s preferred talking points. The buyer has invested heavily in their own conclusions. A rep who ignores that investment creates resistance. A rep who honors it earns trust.

Beyond validation, the rep needs to understand what the buyer has personally at stake. Risk qualification matters as much as lead qualification. What has this buyer committed to internally? What would a poor outcome mean for them specifically? That isn’t soft skills territory. It’s the core intelligence that determines how the rep should engage, what assurances matter most, and where the deal is actually fragile.

The rep’s evolved role is risk translation: helping the buyer convert the thesis they’ve built alone into a defensible internal commitment, with a vendor partner who will stand behind it. That’s the trust transfer the old model delivered through relationship. Now it has to be earned in a fraction of the time, at the back end of a journey the rep didn’t take with them.

At the organizational level, the companies that win in a digital-first world will treat sales and marketing alignment not as a coordination exercise but as a buyer experience imperative. The story the company tells; across every format, every channel, every exec communication, needs to be the same story the rep walks in with. Not identical in script, but coherent in thesis, consistent in values, aligned in vocabulary. Because that story is now being processed not just by human buyers making judgment calls, but by AI systems making scores.

The Quiet Deals You’re Losing

The buyer seemed engaged. The evaluation went well. Then it stalled. Then it went quiet.

Often, something felt off. The buyer couldn’t name it. The rep never knew. And increasingly, the agent that built the initial shortlist made a call no human on either side of the table ever saw coming.

In a high-stakes purchase made by humans who are personally exposed, coherence isn’t a nice-to-have. It’s a closing condition. The companies that figure this out (that the rep is the last mile of a journey the buyer took largely alone, that the buyer arrived carrying real personal risk, and that AI agents are now entering that journey at its earliest and most consequential stages) will win deals their competitors don't even know they lost.

Enterprise buyers have changed. The companies that change with them will define the next era of enterprise sales.

The views expressed in Uphoff on Media are entirely my own. They don’t represent the opinions of any company I’ve led, any board I’ve sat on, or any investor who’s had the pleasure of debating strategy with me over the years. If something I write here sounds brilliant, I’ll take full credit. If it turns out to be wrong, I was clearly misquoted by myself.

This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit tonyuphoff.substack.com