The Buying Landscape Has Already Changed. Most Sales Functions Haven't.

B2B buyers no longer use the internet to research vendors. They deploy AI tools that research, compare, shortlist, and rank vendors on their behalf — before any human conversation takes place. By the time your sales team receives an inbound enquiry or books a first meeting, the buyer has already formed a preference. In most cases, the shortlist is already closed.

This is not a future prediction. It is the commercial reality your sales function is operating in today.

90%

of B2B buying will be AI-intermediated by 2028 (Gartner)

$15T

in B2B spend through AI agents by 2028 (Gartner)

95%

of winners already on the buyer's Day One shortlist (6sense)

94%

of buyers use LLMs throughout their buying process

17%

of buying time is spent with potential vendors (Gartner)

75%

of B2B buyers prefer a rep-free buying experience (Gartner)

83%

of buyers define requirements before speaking to sales (6sense)

80%

of deals go to the vendor favoured before first contact

10x

more AI agents than human sellers by 2028 (Gartner)

Four Shifts That Broke Traditional Sales

The pre-contact phase now determines most deals. Buyers use AI tools to research vendors, compare propositions, assess credibility, and rank options autonomously. By the time they contact you, 83% have already defined their requirements. If you are not visible and credible in that phase, you are not on the shortlist. Cold outreach arrives too late to change the outcome.

Buyers used to spend weeks researching. AI has collapsed that timeline. A buyer’s agent can now research ten vendors, compare propositions, synthesise case studies, and produce a ranked shortlist faster than your BDR can personalise an email sequence. The window to influence buyer preference is before the research happens, not after the shortlist is formed. Winning the invisible phase is the new sales advantage.

Enterprise technology purchases now involve between six and twelve stakeholders, each with different concerns and veto power. 72% of B2B purchases involve high-complexity buying groups spanning IT, finance, operations, and commercial leadership. One-to-one relationship selling is no longer sufficient. You need deal governance, structured qualification, and multi-threaded engagement — or the deal stalls at consensus.

Businesses using AI for account prioritisation achieve up to 50% greater pipeline efficiency. AI-first competitors respond two to three times faster and achieve significantly higher personalisation accuracy. If your sales function is running on manual outreach, gut-feel qualification, and spreadsheet forecasting, you are operating at a structural disadvantage — not just a productivity one.

The Gap Most Sales Leaders Are Still Missing

Market Reality

What Other Sales Leaders Are Doing and Where Most Are Still Getting It Wrong

There is a gap between what the market is saying about AI and how most sales functions are actually responding. Understanding that gap is where the competitive advantage sits.

What most interim sales directors are talking about:

The majority of interim and fractional sales directors in the UK technology market are addressing AI at the tools level: better CRM, automated sequences, AI-assisted forecasting. These are useful. They are not sufficient. Automating a broken outreach motion at scale produces more noise, not more pipeline. Improving forecast accuracy in a function that is losing deals in the pre-contact phase does not close the gap.

Almost none are addressing the structural shift:

The AI-mediated buying phase, the period before buyers make contact, is where most deals are decided. Structuring your positioning so AI agents researching on behalf of buyers rank your business favourably is a different discipline entirely. Very few sales leaders are building this capability into client engagements. Henk Pleiter is one of the few who does.

The businesses that understand this are not just using AI internally. They are redesigning their commercial presence so AI buyer agents, the tools buyers deploy to research vendors, see them, trust them, and rank them before a human conversation begins. That is the real competitive edge in 2025 and beyond.

AI-Native in Practice

What AI-Native Sales Leadership Actually Means

Not a tool. Not a feature. A fundamentally different way of running a sales function, one that operates where buyers actually are, not where sales teams wish they were.

AI-Native by Default. Not by Request.

Every engagement includes AI-enabled execution as standard. This covers four areas:

Outbound execution. AI-assisted cadences that are personalised at scale, not templated at volume. The difference between a sequence that gets ignored and one that starts conversations.

CRM and pipeline discipline. AI tooling for lead prioritisation, pipeline hygiene, and account scoring so the team focuses time on deals that can close, not accounts that feel comfortable.

Forecasting and reporting. Automated pipeline reporting and forecast data so leadership sees real numbers, not manually compiled summaries that are out of date before they are presented.

Buyer-phase positioning. Structuring your commercial presence so that AI agents researching on behalf of buyers rank your business favourably before any human conversation takes place. This is the part most sales leaders have not yet figured out. It is built into how Henk engages from day one.

The Cost of Inaction

Why the Window Is Closing and What Waiting Actually Costs

There is a standard objection to any interim sales engagement: "we will wait until we hire permanently." Apply the timeline honestly.

The permanent hire timeline:

Four to six months to recruit. Three months notice. One quarter to ramp. That is nine months before a permanent Sales Director makes a meaningful commercial contribution. In nine months, competitors operating AI-native sales functions will have built pipeline, converted opportunities, and embedded themselves with buyers who will not reconsider a shortlist they have already formed.

What happens commercially while you wait:

Pipeline decays. The average sales cycle is now 10.1 months (6sense, 2025). Every month without active pipeline generation is a month without future revenue. Buyers who would have been reachable in the pre-contact phase move through their journey and lock onto competitors. Board confidence erodes. Top-performing reps leave.

The AI competitive gap widens by the month.

Businesses that deploy AI-native sales operations today are building a compound advantage: earlier buyer contact, higher personalisation, faster follow-up, and better-structured positioning for the AI research phase. The businesses that delay are not standing still. They are falling behind a moving target that is accelerating.

Common Questions

Objections and Honest Answers

1 / 5

Ready to Fix What’s Holding Back Your Sales Performance?

If your pipeline is slowing or targets are slipping, waiting will only make it worse.

I stabilise performance fast, identify the root issues and deliver measurable fixes within 90 days. No long audits, just clear structure and execution that moves the numbers.

From week one, you see what is blocking growth. Within three months, your pipeline, forecast accuracy and win ratesimprove.

If performance is drifting, now is the time to act.

Book Your Diagnostic Call

Give me 20 minutes. I will ask the right questions about your sales operation, uncover what is slowing growth and outline exactly how to fix it. No pitch. No pressure. Just a clear, practical assessment of what is working, what is not and where the biggest revenue gains are hiding.