Navigating Automation’s Inevitability: Why a People-First Strategy Must Precede a Successful AI Implementation

Navigating Automation’s Inevitability:

Why a People-First Strategy Must Precede a Successful AI Implementation 

The landscape of higher education enrollment is more competitive than ever. In this race for sustainable growth amid an ever-rising cost per enrollment, there is an undeniable buzz surrounding automation strategies that leverage AI to reduce or supplant human enrollment staff, and an increasing pressure to implement them. 

An October 2025 press release from Gartner reports, “A Gartner Survey of 265 service and support leaders from a variety of industries and business in April and May 2025 found that 77% of service and support leaders feel pressure from other senior executives to deploy AI.” 

The appeal of AI automation is undeniable —a technology promising to streamline processes and cut costs. But here’s the foundational truth: The real, sustainable difference is always made by our people. 

If you caught my most recent editorial, “ The Unbreakable Link,” that last statement probably comes as no surprise. Given that my background is in traditional enrollment, a group that’s usually found on the trailing edge of innovation, you might even write this post off as an old schooler’s indictment on AI, but I encourage you to keep reading. 

The truth is I am genuinely fascinated by the exponential advances in generative, agentic, and conversational AI. I believe in the promise this technology has to improve both the student experience and the enrollment staff’s job satisfaction, all while improving the efficiency, and ostensibly the bottom line of institutions that deploy it. No matter your opinion, the ultimate reality is AI’s expanse into higher ed enrollment is inevitable. 

So, where do we go from here? 

Why We Must Invest Upstream: The Knowledge Base is Human-Powered

The future of successful enrollment isn’t advancing AI enrollment agents in the place of human staff in a technological takeover, it’s AI operating in concert with humans, augmenting the skills that your professional staff already has. By investing in staff development prioritizing a strategic, cohesive model of coaching and development, we don't just prepare for the inevitability of AI automation—we realize an immediate ROI while we build a foundation for the future:

• Real-Time Results from Day One: An investment in a Courses + Coaching + Consulting model is functional and applicable immediately. By equipping staff with skills in student engagement, success coaching, and adaptive leadership, you see measurable improvements right away, not just in enrollment growth, but also in student retention and overall satisfaction.

• Preventing Enrollment Drop-Off: By focusing on staff first, you ensure a unified, data-driven front. Enrollment Coaching, when executed by a well-trained team, dramatically increases inquiry qualification and pre-start retention. This foundational strength ensures that there is no drop-off in enrollment during a subsequent AI deployment phase—your human team is already operating at peak performance.

• Creating the Automation Blueprint: The process of training your team to master the "Enrollment Conversation,” and to adopt the 4-Step Approach (Research, Strategy, Action, Measurement) creates the foundation for all future automated conversations. The best human-led interactions will mirror the expectation of quality, content, tone, and brand for automated conversations to come. Skilled human-led conversations now serve as the knowledge base your AI will eventually learn from later. Having this data set of skillful, on brand interactions will ultimately expedite the learning curve and speed to market of your AI deployment when that time does come.

• Preparing for the Difficult Conversations: Prospective students expect a connection that only humans can deliver as they navigate high-stakes, high-emotion decisions with personal, professional, and financial implications. While AI is capable of navigating routine interactions and translating human conversation, it can’t replace human empathy or interpret the contextual nuance of complex dialogue. Training your staff prepares them for the high-value, emotionally charged, and sensitive conversations that require nuanced understanding, and human compassion. Coty Smith, director of AI and digital innovation at Genesys, says, "AI can’t always understand context or deliver empathy — and if you accept that as the cheaper alternative, it’s a net loss to the business…The AI might be factually correct, but is it the right response to give to the customer based on their actual need?” 

The takeaway is this: Strategic staff training and development must be the first step of a successful AI implementation.

Strategic development of your enrollment staff is an investment in revenue and reputation that pays dividends now and sets the stage for a successful automation in the future.

Still need to be Convinced? 

Consider this: An AI knowledge base provides the AI agent with institution and program-specific information required for comprehension, logical reasoning, and the formulation of well-grounded decisions. This comprehensive repository of knowledge enables the AI agent to automate tasks with both efficiency and precision. Do you have the quantity and quality of information necessary for a successful AI deployment? 

AI agents are distinguished by their capacity for autonomous reasoning, decision-making, and action. To execute these functions effectively, they must have access to pertinent information, provided by an AI knowledge base.This knowledge base serves as the AI agent's source of truth, supplying all of the specific-to-your-institution based information that it retrieves and uses to inform all of its executive functions. This external data is crucial for guiding their decision-making process and guaranteeing that their responses are on brand, factually accurate, consistent, and relevant.

This knowledge base is a vital element for any  intelligence-based system deployment. It is what enables these systems to be scalable and ready for deployment.This comprehensive repository encompasses structured, unstructured, and multimedia data, including:

• Course Data: Course catalogs, detailed prerequisite requirements, real-time scheduling availability, application instructions.

• Policies and Procedures: Official policies, legal requirements and compliance mandates.

• FAQs and Support Articles: Curated answers to frequent questions and step-by-step instructions for specific actions.

• Student Records: Course history, essential degree requirements.

• Internal Documentation: Training manuals, conversation guides for enrollment counselors.  

• External References: Relevant State and Federal regulations

• Press Releases, Media Posts, Current Events: In-depth content exploring complex topics, student success stories, and student insights.

• Dynamically Generated Data: Transcripts from chat logs, recorded conversations, email communications, student feedback, social media content.

A Human-Powered Knowledge Base is the Future of Enrollment AI

The integration of AI into the enrollment process is not a question of if, but when and how. For institutions aiming for sustainable growth, a human-centric approach must serve as the launching pad. The foundational strength of your future AI system, and your staff’s buy-in on its deployment rests entirely on the quality and specificity of the knowledge you provide it.

Does your enrollment staff have these necessary elements for building a comprehensive data base?

Institution-Specific Training Material: The AI knowledge base must be stocked with authoritative, current, and institution-specific data. This includes not only your official policies and course catalogs but also the internal documentation and training manuals that define how your team communicates. 

High-Quality Conversational Data: Crucially, your AI will only be as good as the human interactions it learns from. You must systematically gather quality recordings and transcripts from calls, texts, and emails that consistently embody your institution's brand, tone, and customer service standards. These skillful human interactions form the essential blueprint—the "source of truth"—that the AI will adopt to deliver your message and guide your human staff.

So, if you're considering taking the leap into AI automation, staff development considerations should be at the forefront of your strategy discussions.

By making a commitment to staff development and the creation of a high-quality, human-powered knowledge base before a full-scale AI implementation, you accomplish  two things: near term enrollment gain through a highly trained team, and a successful transition into an augmented future where AI works in concert with—not in place of—your invaluable human partners.

Written by: Dr. Jodi Blinco

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