Artificial intelligence has long been considered the cold, calculating counterpart to human intuition. It’s easy to understand why – algorithms are built to recognize patterns, crunch data, and draw conclusions, all without an ounce of emotional awareness. They don’t feel, they don’t reason like we do, and they certainly don’t empathize. Oddly enough, it’s precisely this unemotional precision that positions AI as a surprising ally in one of the most human-driven challenges in business: creating empathy in B2B sales.
The buyer’s journey is notoriously tricky. According to Gartner, 77% of buyers found the B2B sales cycle “extremely” complex or difficult, with 95% reporting that they have to go back and revisit decisions as new information emerges. This leads to a subliminal “buyer versus seller” dynamic, where buyers struggle to keep up while salespeople unwittingly complicate the process by adding more and more information into the mix. This dynamic creates an “unempathetic” environment, where a buyer’s understanding is almost assumed or taken for granted. In a recent report, Deloitte revealed a massive gap between how buyers and sellers perceive empathy: while 40% of sellers strongly believe they consistently exhibit empathy, only 13% of buyers agreed.
On a fundamental level, the sales cycle is based on relationships. In a knowledge-rich environment, where cards aren’t just placed openly on the table but are shared and discussed in context, relationships thrive and empathy becomes a natural byproduct. As unlikely as it seems, AI is the key to unlocking this process. When used wisely, AI doesn’t replace the human touch – it augments and amplifies it. By analyzing sentiment, adapting to communication styles, and predicting what buyers and sellers need before they ask, AI takes the complexities associated with B2B sales cycles and turns them into BwB (Business-with-Business) sales cycles.
The Empathy Gap
The B2B sales cycle is anything but simple. It’s not a purchase – it’s a partnership. Deals often involve lengthy timelines, endless meetings, multiple stakeholders with conflicting priorities, and countless other moving parts. Personalities and egos can clash, communication gaps create confusion, and important documents get buried in a flood of emails and attachments. None of this is intentional of course, but the sheer complexity of the process leaves little room for empathy. Buyers become overwhelmed and try to get on top of things internally, while sellers – often under pressure to meet quotas – just go through the motions and become fixated on the “mechanics” of the deal rather than the humans involved in it.
The result is a transactional experience that feels detached, robbing both parties of the opportunity to collaborate meaningfully. Buyers, already juggling internal approvals and mounting demands, are left navigating a sea of emails, meetings, and proposals with little support. Sellers, meanwhile, waste valuable time chasing deals that falter due to misalignment or unmet buyer expectations. Empathy takes a back seat in this environment, leaving buyers and sellers frustrated and disengaged. It’s a broken system that needs a human touch, and surprisingly, AI may be the hand that delivers it.
AI: Augmented Intelligence
When it comes to B2B sales, artificial intelligence is better interpreted as “augmented intelligence.” Empathy gets lost partly because of the sheer complexity and volume of information involved in the average sales cycle. Gartner reveals that the typical B2B sales cycle involves 6-10 decision-makers on the buyer’s side, and each comes to the table with several pieces of information they’ve gathered independently. It also points out that the typical buying process is now unpredictable and non-linear, with buyers engaging in “looping,” regularly revisiting each decision on the journey. This creates a whirlwind of information that can leave both parties out of sync, and no amount of manual “chasing” can fix it.
Enter AI or augmented intelligence. We know that AI can be a valuable tool for organizing and classifying data, but the introduction of Large Language Models (LLMs) adds one vital ingredient: context. Modern AI tools can analyze conversations, gauge sentiment, predict needs, and surface assets and insights based on context. AI can detect when a buyer’s interest is waning or when critical stakeholders are yet to engage, allowing sellers to adjust their approach with tailored actions that address their customers’ concerns instead of falling back on generic, impersonal emails. Likewise, assets can be surfaced automatically – if a key document is discussed during a meeting, that document can be automatically surfaced and summarized, making it easier for both parties to engage meaningfully in the moment instead of searching inboxes and requesting follow-ups.
Not only does this remove friction from the sales process, but it also eliminates distractions. It ensures that each interaction is focused and relevant – not according to the “mechanics” of the sale but according to the needs of the individual people involved. This fosters empathy and understanding, making the chance of a sales win more likely – or if not a win, the next best thing: a fast loss. Too many deals doomed from the start are painfully drawn out because of a lack of empathy, knowledge, and understanding between parties.
Moving Away From Transactional Selling
Transactions have long dominated the traditional B2B sales approach: send an email, share a proposal, follow up, and repeat. While this method may have sufficed in simpler times, today’s buyers expect more than a checklist of tasks – they want a partner who understands their goals and challenges. Augmented Intelligence allows sales teams to shift from a transactional mindset to prioritizing relationships. In other words, the sales cycle becomes a collaborative partnership rather than a one-sided pitch.
This shift creates space for buyers – often siloed off from the rest of their organization – to feel empowered and champion the deal from the inside. Most buyers have to deal with complex internal dynamics, where decision-makers have to justify their choices to stakeholders, address objections, and make a solid case for the proposed service or product. An AI platform that gives the buyer a seat at the table will equip them with everything they need to navigate these challenges, from current assets and materials to long-forgotten insights that may have surfaced months ago at the beginning of the journey. With augmented intelligence, buyers no longer feel burdened by the sales cycle but feel supported and empowered. This helps to bridge the “empathy gap” that plagues many B2B sales cycles, ensuring that both buyer and seller are moving together toward a common goal.
Empathy may not be the first word that comes to mind when thinking about artificial intelligence, but it’s precisely what AI can unlock in sales when used thoughtfully. By bridging the data and human connection gap, AI transforms the sales process into a shared journey where sellers can offer meaningful contributions and buyers feel valued and supported. Digital transformation doesn’t have to mean dehumanizing the sales cycle. Instead, it can open the door to genuine Business-with-Business approaches that put human relationships front and center.