This problem has only been ampli- fied by modern sales cycles’ increas- ing complexity and noise. A report by McKinsey reveals that the number of channels buyers have to navigate when making a B2B purchasing deci- sion has increased by more than 100% in the past decade. Today’s deals also involve much larger buying com- mittees, longer timelines, and more competing stakeholders than ever before. According to Gartner, the av- erage buyer spends 40% of their time addressing objections, roadblocks, and extra scrutiny from leadership and finance. For sellers, waiting for buyers to navigate this intricate web of deci- sion-makers without clear signals of commitment can feel like chasing shadows. For buyers, championing the deal and securing buy-in from multiple stakeholders can be daunt- ing due to the sheer volume of assets and information shared across count- less meetings. Add the pressure of aggressive quotas and the “sunk cost fallacy,” and it’s easy to see why sales teams continue pouring resources into deals that should have been abandoned – for everybody’s benefit – weeks earlier. I was recently chatting with a busi- ness contact who had a proposal for a $30 million deal that involved eight people on their pursuits team. But, after 352 emails, 55 video calls, and three on-site visits over nine months, they lost the deal. In this case, a fast loss would have been far preferable to holding out for a “maybe.” Even AI, which is undoubtedly part
of the solution, contributes to the noise when not correctly deployed. Automation can save time, but – far from being a silver-bullet solution – it can actually add a great deal of fric- tion to the process. As AI-generated emails and outreach campaigns pro- liferate, sellers often feel compelled to follow up endlessly, even when the signs of disengagement are obvious. This cycle not only prolongs the inevi- table but also leads to bloated pipe- lines filled with trivial communications
for deals that are unlikely to close. By failing to let go of the “maybe,” sales teams risk missing out on high- value opportunities that demand their focus. Breaking this cycle requires a willingness to embrace “no” as a productive outcome.
AI: BOON OR BUST? AI isn’t a single technology; it’s a concept. It’s very easy to reduce AI into a “good” or “bad” camp, but it depends entirely on how it’s deployed. For instance, while the automation of emails and other quick wins can hurt the sales process by adding noise, intelligently deploying AI intelligence can revolutionize how teams evaluate and prioritize their pipelines. Instead of relying on gut feelings or vague buyer signals, AI tools can serve up data- driven insights that help identify when a deal is no longer worth pursuing. By tracking engagement metrics – such as email open rates, response times, meeting attendance, senti- ment, and overall engagement – AI can highlight prospects who are los- ing interest or whose behavior doesn’t align with a high probability of success. This means sales teams can flag potential dead ends before those become time-sucking black holes. AI can also be used to central- ize information and make it context sensitive. Meeting transcripts can be generated, action points can be surfaced, and relevant documents and other assets can be readily accessible for both buyers and sellers. What’s important to recognize is that these functions are just as useful for “break- ing” a deal as for making one. By championing clarity and transparency, prolonged periods of uncertainty and information-chasing are removed from the equation – making any inevi- table journey to a “no” much quicker. As well as knowing when to close
the door on a potential deal, this level of transparency can also offer alternative paths to closing that may go unnoticed or are noticed too late. For example, suppose a deal is going south. In that case, insight-driven AI
“352 emails, 55 video calls, and three on-site visits later… still no deal.”
can recommend redirecting efforts to other opportunities in the pipeline or suggest areas where the sales team’s efforts could be more effectively aligned with buyer needs. So, rather than just losing fast, AI enables teams to pivot quickly and shift their focus to lines worth pursuing. This ensures that, on the road to a “fast loss,” any aligned opportunities that can be salvaged are recognized and can be pursued, including the possibility of a future partnership following a positive sales cycle experience – even when the deal is lost.
SOMETIMES, LOSING MEANS WINNING
Losing a deal doesn’t have to mean losing ground. A fast “no” can be a powerful strategic win. By cutting losses early, sales teams free up band- width to focus on opportunities with a higher likelihood of success. This preserves energy and boosts morale – because nothing is more deflating than investing weeks in a deal only to realize it was doomed from the start. By embracing clarity over pro- longed uncertainty, teams can allo- cate their resources where they’ll have the most significant impact – ultimate- ly closing more deals and delivering better results. Whether it’s learning from lost deals or redirecting efforts to higher-value prospects, every fast loss becomes a steppingstone toward smarter, more strategic wins. In sales, the goal isn’t just to close deals; it’s to focus on the right ones – and losing fast is often the best way to get there.
Andrew Fritts is the CEO at Augment AI. SELLING POWER MAY/JUNE 2025
| 39 © 2025 SELLING POWER
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