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Reps wasting 15 to 30 minutes manually gathering intelligence across fragmented tools represents a severe drag on sales velocity. Programmatic research infrastructure compresses prep to 90 seconds, equipping every rep with elite account context while unlocking the capacity needed to raise baseline quotas.

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The concept of 'cold calling' is obsolete. AI tools allow sales reps to rapidly research a prospect's company, recent activities, and potential pain points. This enables them to open a call with a highly relevant point of view and a tailored value proposition, effectively making every call 'warm' and increasing conversion rates.

Outbound prospecting has evolved from a writing and calling challenge into an engineering and data infrastructure problem. Deploying software engineers to build automated internal tooling around account signals and outreach liberates sales reps from administrative data hunting, unlocking massive market coverage.

Leverage AI to conduct comprehensive research on a prospect's company, industry, and the specific individuals you're meeting. This allows you to bypass basic discovery questions and dive into more relevant, informed conversations, making the sales call more efficient and valuable for the customer.

AI should be viewed as a tool to augment salespeople by automating the manual, non-revenue-generating tasks that consume up to 80% of their time. By handling account prioritization, research, and prospecting, AI allows sellers to be more customer-facing, which ultimately increases the key metric: revenue per rep.

AI acts as a force multiplier, creating "100x sellers" akin to 100x developers. By automating low-value tasks like research and deck creation, AI gives the best reps—who already know what they need—more time for strategic activities like customer engagement and relationship building.

The most tangible benefit of AI for sales teams right now is drastically reducing the time spent on pre-meeting research. Leaders should focus AI adoption on these efficiency gains, as core human functions like complex negotiation won't be automated by agent-to-agent AI for at least five years.

Pre-call research that used to take 20 minutes can now be automated. Use the 'deep research' function in AI tools, connecting them to your CRM and the public web to get a detailed brief on a company and contact. Always have a human review the final output.

Instead of just providing reps with AI tools for self-service research, RevOps teams should proactively use AI to automate time-consuming tasks like territory planning and account intelligence. This shifts the burden from the rep, drives adoption, and ensures consistent application of AI for efficiency gains.

For 20 years, sales reps have spent only ~25% of their time with customers. AI is the first technology that can fundamentally shift this ratio by automating low-value prep work, rewriting the nature of go-to-market jobs.

Sales reps spend only 30% of their time actively selling. The other 70% is consumed by preparing materials like custom case studies and ROI reports. AI agents provide the biggest productivity lift by automating this bespoke, time-consuming preparation work, freeing reps to focus on selling.

Automate Pre-Call Research to Reclaim Selling Capacity and Elevate Rep Quotas | RiffOn