Reliable Artificial Intelligence Infrastructure for Small and Medium-Sized Businesses
Emerj and Salesforce executives discuss methods for establishing a robust data and workflow foundation so that small and medium-sized businesses can safely deploy artificial intelligence agents.
Emerj Artificial Intelligence Research and Salesforce leaders discussed strategies for small and medium-sized businesses facing rising customer demands and workforce constraints to build secure artificial intelligence agents.
Growing Customer Demands and Capacity Gaps
Customer-centric organizations face a widening capacity gap due to surging omnichannel demands and workflow constraints relying solely on human labor.
According to projections by the U.S. Bureau of Labor Statistics, customer service representative employment is expected to decrease by 5 percent by 2034 while inquiries escalate.
Response Times and Reliability Challenges
A study conducted by the Harvard Business Review noted that it takes average companies 42 hours to respond to new prospective customers, and delayed responses reduce qualification rates.
Additionally, Pew Research Center data shows that nearly half of U.S. adults regularly use artificial intelligence chatbots, but only 29 percent trust their output.
Assessments by Salesforce Leaders
Emerj held discussions with Salesforce leaders Sharif Karmally, Matt Kravitz, and Vanessa Tabbert to discuss artificial intelligence readiness for small and medium-sized businesses.
Data Preparation and Context Decay
Sharif Karmally frames data preparation as an operational foundational issue rather than a technical one, warning against context decay caused by fragmented spreadsheets and inconsistent customer histories.
Agent Maturity Model and Operations
Matt Kravitz outlines an agent maturity model that includes general reasoning, CRM access, and action handover, noting that many businesses attempt advanced behaviors with poor data.
Sales Development and Meeting Successes
Vanessa Tabbert shared her experience in sales development, stating that utilizing artificial intelligence agents for previously unprioritized potential customers booked 150 meetings in the first month.