usiness development is the lifeblood of any company. New customers not only provide new sources of revenue but also can inspire new product development and innovation. A key goal of any business should be to identify and capture these customers before competitors do, and to do so cost-effectively.

To do this, businesses have long relied on information technology to identify and reach new customers. Throughout the 2010s and early 2020s, businesses employed tools that enabled salespeople to send similar messages to hundreds or thousands of individuals with a single mouse click. So-called cold email outreach at first proved effective. Considerable interest from individuals not easily reached by other means prompted more businesses to employ this technique. Perhaps not surprisingly, this model ultimately became the victim of its own success. Email communications became so voluminous and impersonal that recipients simply ignored messages from unknown senders, reducing the viability of this model.

Fortunately, artificial intelligence, or AI, has emerged not only to address this failing but to propel business development to another level. In this paper, we will examine the benefits of employing it in your operations.

• Higher engagement rates
• Increased quota attainment
• Lower operational costs

• Higher engagement rates: 70% of salespeople using AI for outreach report higher response rates due to more personalized communications.
• Increased quota attainment: AI-enabled reps are 3.7 times more likely to meet their sales quotas than those who do not use AI.
• Lower operational costs: Companies adopting AI report 40% to 60% lower operational sales costs and a 70% increase in lead-to-meeting conversion rates.

Sales development representatives, or SDRs, are well aware of the challenge they face with declining response rates to cold email outreach. Knowing that emails now need to be more personal and more company- or industry-specific, sales reps now spend up to 70% of their time researching companies, industry headwinds and the personal backgrounds of targeted individuals in the hope of creating emails that will elicit a response. That is an enormous productivity tax, all in the hope of starting a dialogue that will lead to new business.

This type of research is one of AI’s great strengths. What can take a rep hours to accomplish, AI can perform in less than a minute. Moreover, AI research involves more touchpoints and provides greater accuracy and depth than what a rep can produce. In effect, AI-assisted research acts as a force multiplier for reps, enabling them to devote more of their time to selling.

But AI does far more than this for reps. In-depth research is only one part of the challenge. Communicating in interesting, novel and relevant ways is equally important, if not more important. This is perhaps the greatest benefit of using AI. AI’s ability to sort through voluminous amounts of information and synthesize something relevant in a matter of seconds is unparalleled. Moreover, with a single mouse click, communications can be changed in length, tone, mood and other factors to provide the rep with an array of choices, helping ensure that no two communications are alike.

As you can see, AI used in this context is transformational. To use a newspaper analogy, the sales rep is no longer like the journalist in the field digging up the facts and then writing the story. Rather, the rep becomes the editor, reviewing submissions and ensuring the kind of human quality that AI-based pieces often lack. This model of human and artificial intelligence acting in concert is what makes this new approach so compelling and beneficial.

Marketing
Historically, marketing generates leads and sales complains about their quality. AI acts as a bridge between these silos. As sales reps interact with scores or hundreds of prospects, they identify exactly which messages trigger a response. Marketing can then adjust ad spending and content strategy based on what is converting in the field, rather than relying solely on clicks or downloads.

Product Development
Product teams often struggle to get unfiltered feedback from the front lines. AI tools can aggregate objection trends across thousands of interactions. If 40% of lost deals cite a specific missing feature, the product team sees an automated report backed by raw data. This shifts product development from executive intuition to market-driven requirements.

Operations
Because AI handles the heavy lifting of research and outreach, the company can scale revenue without a linear increase in headcount. Organizations can maintain a lean sales force of high-level closers supported by AI-assisted SDRs. This reduces customer acquisition cost, or CAC, and improves the lifetime value-to-CAC ratio, making the business significantly more attractive to investors or for internal reinvestment.

Human Resources
AI can improve institutional memory. When a high-performing sales executive leaves a company, they often take years of unwritten client knowledge with them. AI platforms capture and transcribe every interaction, negotiation boundary and customer preference into the CRM. This creates a permanent brain for the company. If a rep leaves, the new hire has the full context immediately, ensuring revenue continuity and preventing the reintroduction fatigue that often leads customers to churn.

Importantly, AI also contributes to lower overall sales turnover because of reduced burnout. With much of the drudgery removed from the assignment, SDRs’ focus shifts to the customer, where human interaction can provide the positive stimulation on which these reps thrive.