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
- Buyers self-educate before they ever speak to you.
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.
- AI has compressed the shortlisting phase to near-zero.
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.
- Buying committees have grown more complex, not less.
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.
- AI-native competitors have changed the speed and quality benchmark.
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
We already have a sales team. Why do we need an interim Sales Director?
Having a team and having a functioning sales operation are different things. Most sales teams work hard. Fewer deliver predictable, qualified pipeline at the conversion rates a growing technology business requires. An interim Sales Director diagnoses what is broken, fixes the process, installs qualification discipline, and runs the team while doing it alongside your existing people, not instead of them.
We are looking at a permanent hire. Should we delay?
The recruitment timeline is four to six months to hire, three months notice, and a quarter to ramp. That is nine months before any commercial impact. An interim engagement delivers measurable results in 90 days, often while parallel-running the permanent search. Many clients use the interim period to understand exactly what they need in a permanent hire before they commit.
We have already invested in CRM and sales tools. Is this not covered?
Tools are not a sales strategy. A well-configured CRM running on the wrong ICP, with a team that does not qualify properly, producing forecasts nobody trusts, is still a broken sales function. AI tooling is part of how this engagement runs. It is not the answer to the underlying commercial problem.
How is this different from a sales consultant?
A consultant diagnoses and recommends. An interim Sales Director owns the function and executes. The difference is accountability. Henk steps in with a revenue target, manages the team, runs deals, reports to the board, and is measured on pipeline and revenue, not on whether the recommendations were delivered.
What does AI-native actually mean in practice?
It means AI is embedded in how the sales function operates from day one. Outbound cadences are AI-assisted. CRM hygiene and account prioritisation run on AI tooling. Pipeline reporting is automated. And your commercial positioning is structured so that AI agents researching your category on behalf of buyers encounter your business early and rank it favourably before any human conversation begins.
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