Despite significant investments in digital transformation, many colleges and universities continue to grapple with operational inefficiencies in their admissions processes. A recent survey by EDMO, detailed in their 2026 report on automation in admissions, highlights a stark contrast between the automation of routine tasks and the persistence of manual processes for more complex evaluations. While 80% of surveyed higher education leaders reported automating customer relationship management (CRM) and data synchronization, only 12.5% have automated transcript evaluations, and a mere 17.5% have implemented automated identity and fraud checks.
This discrepancy underscores a critical challenge for admissions teams: while technology has streamlined simpler tasks, the most labor-intensive work remains largely untouched. As enrollment growth targets outpace the processing capacity to handle increased applications, admissions leaders are seeking ways to leverage artificial intelligence (AI) to enhance staff productivity without compromising the human judgment essential for making consequential decisions.
Operational Challenges Persist
Among the 40 higher education leaders surveyed, 70% identified staffing and workload as significant challenges in the admissions process. Data silos and system integration issues were also highlighted, with 50% of respondents citing these as barriers to efficiency. Notably, nearly two-thirds of participants indicated that transcript and credit evaluations are still predominantly manual tasks, which complicates the admissions workflow.
International transcripts pose an additional layer of complexity, with 72.5% of respondents acknowledging them as particularly...
Despite significant investments in digital transformation, many colleges and universities continue to grapple with operational inefficiencies in their admissions processes. A recent survey by EDMO, detailed in their 2026 report on automation in admissions, highlights a stark contrast between the automation of routine tasks and the persistence of manual processes for more complex evaluations. While 80% of surveyed higher education leaders reported automating customer relationship management (CRM) and data synchronization, only 12.5% have automated transcript evaluations, and a mere 17.5% have implemented automated identity and fraud checks.
This discrepancy underscores a critical challenge for admissions teams: while technology has streamlined simpler tasks, the most labor-intensive work remains largely untouched. As enrollment growth targets outpace the processing capacity to handle increased applications, admissions leaders are seeking ways to leverage artificial intelligence (AI) to enhance staff productivity without compromising the human judgment essential for making consequential decisions.
Operational Challenges Persist
Among the 40 higher education leaders surveyed, 70% identified staffing and workload as significant challenges in the admissions process. Data silos and system integration issues were also highlighted, with 50% of respondents citing these...
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