Growth Spotlight - AI in Sales: Opportunity, Hype, and Reality
AI is reshaping sales, but not always in the way businesses expect. Insights from Vinit Shah on AI, buyer behaviour, sales structure, and why strong foundations matter more than ever.
Why Structure Matters More Than Ever in AI-Driven Sales
Insights from Vinit Shah, Founder and Managing Director of London School of Sales
AI is changing sales, but not always in the way many businesses expect.
Some teams are using it to sharpen segmentation, improve qualification, speed up proposal creation, and support better sales management. Others are using it to create more noise, more outreach, and more activity without necessarily creating more trust.
In this Growth Spotlight conversation, Vinit Shah joins NBT founder Eren Kocyigit to explore the real impact of AI on sales today.
The discussion moves beyond the hype around automation and asks a more important question: What actually needs to be in place for AI to improve sales performance?
From buyer behaviour and outbound overload to leadership, sales playbooks, qualification systems, and human trust, the conversation highlights one core idea: AI amplifies what already exists.
AI Is Impacting Every Part of the Sales Process
AI is beginning to influence almost every stage of modern sales. But the impact is not equal across every business environment.
Simpler sales models with shorter buying journeys can often adopt AI much faster and more consistently.
More complex B2B sales environments, especially those involving multiple stakeholders, layered approvals, and longer sales cycles, face a much harder implementation challenge.
Every additional layer of complexity increases the difficulty of embedding AI effectively into existing workflows. At the same time, much of the current AI experimentation in sales is heavily concentrated around the top of the funnel.
Businesses are increasingly using AI for:
prospecting
outbound outreach
lead generation
meeting booking
automated messaging
This has dramatically increased the volume of outbound activity. But more activity does not automatically create more trust, stronger engagement, or better conversions.
The Growing Problem of “AI Slop”
As AI-powered outreach becomes easier to scale, sales environments are becoming increasingly saturated with low-quality communication. Businesses can now generate massive volumes of outbound messaging in very little time. But buyers are adapting just as quickly.
Decision-makers are becoming more selective, filtering messages more aggressively, and increasingly questioning whether outreach feels genuine or automated. This creates a growing disconnect between activity and effectiveness.
More emails, more messages, and more automation do not automatically lead to stronger engagement or better sales outcomes. In many cases, they simply create more noise.
Successful sales communication still depends on relevance, positioning, and understanding the real problem a buyer is trying to solve. Technology may accelerate outreach. But it cannot replace meaningful engagement, trust, or genuine buyer understanding.
AI Is Changing Buyers Too
Many businesses are heavily focused on how AI is changing selling. Far fewer are thinking deeply about how AI is changing buying behaviour itself.
Today’s buyers have access to:
more information
more options
greater awareness
faster research and comparison tools
As a result, the way people evaluate products and services is evolving rapidly.
Buyers are becoming more informed before they ever speak to a salesperson. They are researching independently, comparing alternatives faster, and filtering out irrelevant communication more aggressively. This creates an important challenge for sales teams.
Automating existing sales activity is not enough on its own. Businesses also need to understand how buyer decision-making is changing.
Without that understanding, companies risk building AI-driven sales systems that are disconnected from how customers actually research, evaluate, and make purchasing decisions today.
The Companies Winning with AI Already Have Strong Foundations
The businesses benefiting most from AI are rarely the ones using it randomly. They are usually the companies that already have strong structures, clear processes, and defined sales frameworks in place. AI then strengthens those foundations.
For example, businesses with strong customer segmentation strategies can use AI to become significantly more targeted in how they approach markets.
Rather than targeting broad audiences, they can refine segmentation using factors such as:
organisational characteristics
buyer behaviours
psychographics
pain points
decision-making patterns
This allows sales and marketing teams to communicate with far greater precision.
The same applies to qualification. Businesses with clearly defined qualification frameworks can use AI to improve pipeline quality and identify weak-fit opportunities much earlier in the sales process.
Instead of filling pipelines with poorly qualified leads, AI can help surface:
qualification gaps
missing information
weak-fit opportunities
decision-making risks
earlier and more consistently. This is where AI creates real leverage. Not through random automation, but through structured amplification.
AI Amplifies What Already Exists
AI does not automatically fix weak sales operations. It amplifies whatever already exists inside the business.
If strong systems, processes, and frameworks are already in place, AI can improve:
efficiency
consistency
visibility
execution
But when businesses operate with unclear processes or fragmented sales structures, AI can accelerate that confusion as well.
This is where many organisations struggle. Different teams begin experimenting independently. Different people use different tools in different ways.
Workflows become inconsistent. Processes become fragmented.
This is why leadership plays such an important role in AI adoption. AI cannot become a completely decentralised experiment across the organisation.
Leaders need to define:
what good looks like
where AI should support workflows
where human contribution matters most
how teams should use AI consistently
Without that structure, businesses risk creating disconnected workflows, inconsistent customer experiences, and operational confusion rather than meaningful improvement.
Sales Leaders Must Create the Framework
According to Vinit, successful AI adoption in sales cannot be left entirely to individual experimentation. The strongest sales leaders are proactively defining how AI should be used across the business.
Rather than allowing disconnected usage across teams, they create a clear operational framework around:
expectations
workflows
qualification standards
coaching processes
operational guidelines
Once those foundations are in place, managers can coach more effectively.
AI can then support managers by helping identify gaps through:
call recordings
meeting notes
CRM data
qualification analysis
But Vinit also highlighted an important distinction: while AI may improve visibility into performance gaps, it does not automatically improve a manager’s ability to coach.
The technology may identify problems. But managers still need the human capability to guide people through improvement.
Human Trust Still Matters
As AI-generated communication increases, both speakers reflected on the growing importance of trust and human connection in sales.
Not every sales interaction is the same. Different stages of the buying journey require different types of conversations.
Vinit framed this through three different types of conversations:
interest conversations
intent conversations
commitment conversations
An interest conversation is often exploratory. The buyer is researching, gathering information, and trying to understand whether something is relevant.
An intent conversation happens when the buyer recognises that change is necessary.
A commitment conversation begins once the buyer is actively moving toward a purchasing decision.
Understanding these stages changes how businesses should communicate. Trust is built differently at each stage. And in more complex or high-involvement buying decisions, human trust becomes even more important.
As buyers become increasingly overwhelmed by content, outreach, and automation, credibility and relationship-building matter more than ever.
Why More Outreach Does Not Mean Better Sales
Another important insight from the conversation was the difference between visibility and meaningful engagement.
Many businesses assume that more automation naturally creates better results. But buyers are becoming increasingly resistant to generic outreach.
People are overwhelmed. Attention is fragmented. Decision-makers are filtering aggressively.
In this environment, simply increasing outbound volume often creates diminishing returns. This is especially true in high-trust or high-involvement purchases where buyers need confidence before making decisions.
The Importance of Sales Playbooks in an AI Era
Toward the end of the conversation, Vinit shared one of his strongest recommendations for founders and sales leaders.
Businesses need to extract the knowledge that already exists inside the organisation. Too many founders keep their sales thinking trapped inside their heads.
If businesses want AI to work effectively, they need to document:
how they sell
what makes them successful
how customers make decisions
how conversations should be handled
what good looks like
Whether businesses call it a playbook, a protocol, or a framework, the principle remains the same: AI needs structured guidance. Without that structure, businesses risk leaving too much interpretation to the technology itself.
Final Thoughts
One of the clearest messages from this Growth Spotlight conversation was that AI is neither automatically good nor automatically harmful. Its impact depends on the quality of the foundations already inside the business.
For companies with strong systems, clear thinking, and strong leadership, AI can create enormous leverage.
For companies operating without structure, it may simply amplify inconsistency.
At the same time, as automation increases, trust, clarity, and human connection are becoming even more valuable.
Because while AI can process information at scale, meaningful relationships still shape buying decisions.
You can watch the full Growth Spotlight episode with Vinit Shah on our YouTube channel.