Narimane Kurdi, Director, Revenue Marketing Emerging Markets, at Nintex, has penned an exclusive thought-leadership feature, which examines how AI can help marketing teams ‘finish the job’ – and circumvent the issue of the pipeline that typically dies in the middle of the funnel.
Revenue marketing was supposed to fix accountability. It did. Marketing teams can now tie spend to pipeline, track engagement by account, and report on contribution to revenue. That problem is largely solved.
But a harder problem was always hiding underneath: most pipeline dies in the middle of the funnel, and nobody owns it.
Opportunities stall during procurement. Buying committees lose alignment. Momentum disappears between stages. And marketing, having done its job of creating the opportunity, steps back and leaves sales to carry the deal alone.
This is not a lead quality problem. It is not a sales execution problem. It is a structural gap in how B2B organizations operate. And across EMEA, where buying environments span multiple markets, regulatory frameworks, languages, and decision cultures, the gap is wider than anywhere else.
AI is now closing it. Not by making marketing smarter, but by making it operational across the full lifecycle of a deal.
The Industry Is Optimizing the Wrong End of the Funnel
The conversation around AI in marketing is accelerating, but most of it focuses on the same stage of the journey: the beginning.
Better lead scoring. Sharper intent signals. Smarter content personalization. More efficient campaign targeting. These are real capabilities, and they matter. But they all optimize how marketing starts.
The harder, more valuable question is: what happens after the opportunity is created?
Sangram Vajre has been instrumental in pushing marketing toward revenue alignment. Chris Walker has challenged legacy demand models, arguing that creating demand matters more than capturing it. Both have shifted the industry in important ways.
But both frameworks still center on the front of the funnel. They improve how opportunities enter the pipeline. They do not address what happens when those opportunities slow down, fragment, or stall.
The market is optimizing how marketing starts the journey. The real opportunity is in owning how it finishes.
Pipeline Does Not Fail at Creation. It Fails in Progression.
In most B2B organizations, pipeline health is measured by what goes in at the top: MQLs generated, opportunities created, pipeline dollar value. These metrics reward creation and ignore everything that happens afterward.
The reality is that a significant share of qualified pipeline never converts. Not because the leads were bad, but because the deals lost momentum. A key stakeholder was never engaged. A procurement process introduced friction that nobody addressed. A champion changed roles and no one rebuilt the internal case.
Across EMEA, this problem is compounded. A deal that spans Dubai, Riyadh, and London involves different procurement norms, different regulatory requirements, and often different languages in the buying committee. Alignment is not a single conversation. It is a sustained, multi-threaded effort.
Marketing teams are structurally set up to walk away from this complexity. Their metrics reward them for creating the opportunity, not for seeing it through. And so the most expensive failure in B2B goes unaddressed: pipeline that was built, qualified, resourced, and then abandoned.
From Insight to Orchestration: The Rise of Agentic Marketing
AI has historically been an analytical layer in marketing. It tells you what is happening: which accounts are engaged, which leads are likely to convert, which segments are responding. This is valuable, but it is passive.
The shift now is from insight to orchestration. AI systems that do not just surface information, but act on it. Not replacing marketers, but enabling them to intervene with precision and speed across a deal lifecycle that was previously too complex to manage at scale.
I would describe this as agentic marketing: AI that identifies what is stalling, determines what action is needed, and orchestrates execution across channels, stakeholders, and messaging, continuously, not as a campaign but as an operating model.
Consider a scenario that plays out regularly across EMEA. An opportunity progresses well through initial evaluation. Technical validation is strong. The champion is engaged. Then it enters procurement across two jurisdictions, and three new stakeholders appear who were never part of the original conversation. The deal stalls. Not because value was questioned, but because alignment was never built with the people who now control the decision.
Traditionally, marketing has no mechanism to respond to this. The deal is in sales territory. The new stakeholders are invisible to the marketing stack. Intervention, if it happens at all, is manual and delayed.
With AI-driven orchestration, this becomes proactive. The system identifies the disengaged stakeholders, triggers targeted content aligned to their specific priorities, supports sales with contextual messaging, and re-engages the account at the right moment. This is not campaign execution. This is pipeline orchestration.
Why EMEA Demands This More Than Any Other Region
The complexity of EMEA buying environments makes pipeline orchestration not just useful, but essential.
A single enterprise deal in the Gulf may involve stakeholders across government-linked entities, private sector partners, and international headquarters. Procurement timelines in GCC markets can run two to three times longer than Western European equivalents. Multilingual buying committees introduce communication friction that standard marketing automation cannot address.
These are not edge cases. They are the norm. And they explain why EMEA pipeline conversion rates consistently lag behind single-market regions despite comparable or better top-of-funnel performance.
AI orchestration addresses this directly. By maintaining continuous engagement across all threads of a complex deal, adapting messaging to stakeholder context, and identifying risk signals before they become deal-breakers, marketing can play a sustained role in environments where manual coverage is simply not feasible.
Resilience Over Volume: Why This Matters in Uncertain Markets
In stable markets, the cost of pipeline leakage is hidden. There is enough new demand coming in to mask mid-funnel failure. In uncertain markets, the cost becomes visible and painful.
When geopolitical risk rises, buying cycles slow. Decision-making becomes more cautious. More stakeholders enter the process. Budgets are scrutinized more heavily. Existing opportunities are more likely to stall.
The instinct in most organizations is to generate more pipeline to compensate. This is expensive and often counterproductive. The opportunities most likely to close are the ones already in motion, where relationships exist, value has been demonstrated, and internal champions are engaged.
When markets tighten, the greatest opportunity is not in creating more pipeline. It is in protecting and progressing what already exists.
AI-driven orchestration enables exactly this. By monitoring engagement, identifying risk early, and enabling timely intervention, marketing maintains momentum even when the broader environment is working against it. In this context, AI is not a tool for efficiency. It is a lever for resilience.
Rethinking Metrics and the Marketing Operating Model
If marketing is going to own pipeline progression, not just creation, then its metrics and operating model need to reflect that shift.
MQLs and pipeline created measure the start of the journey. The next generation of marketing metrics must measure what happens after: stage progression velocity, deal acceleration, stall recovery rate, and revenue influence across the full lifecycle.
This also means moving beyond campaign-driven execution. Campaigns are episodic. Pipeline orchestration is continuous. AI enables an always-on model that is adaptive and responsive to real-time signals, not constrained by campaign calendars or quarterly planning cycles.
The organizational implication is significant. Marketing is no longer a supporting function that hands off to sales. It becomes a co-owner of revenue, engaged from first touch through close. This requires tighter alignment between marketing, sales, and revenue operations, and a shared accountability framework that reflects the full deal lifecycle.
The Future of Marketing Is Not About Content. It Is About Orchestration.
AI in marketing is most often framed around efficiency: creating content faster, automating repetitive tasks, doing more with less. These are real benefits, but they are incremental.
The transformative shift is not in what marketing produces. It is in what marketing orchestrates. Moving from campaigns to continuous engagement. From periodic touchpoints to sustained influence. From insight to execution.
The future of marketing will not be defined by who produces the most content or generates the most leads. It will be defined by who can most effectively orchestrate revenue across systems, stakeholders, and the full customer journey.
The biggest untapped opportunity in marketing today is not demand generation. It is recovering and accelerating the pipeline that already exists. AI makes this possible. And for organizations willing to rethink their approach, it represents a fundamental shift in how marketing drives business impact.
