Adlore “Addi” Casseus is the Founder & Principal of Ascend Revenue Group, where she helps teams improve customer experience and revenue outcomes through clear messaging, performance systems, and ethical, human-centered operating models. A seasoned educator and trainer with 7+ years teaching and facilitating adult learning, she blends change leadership, communication strategy, and practical workflow design to help organizations implement new capabilities without burning out their people. She is also a PhD candidate in Leadership & Change, with research grounded in ethics, systems, and cultural intelligence—supporting leaders who need results and integrity as they adopt emerging tools like AI.

Beyond Proof Of Concept: The Human-In-The-Loop Playbook For AI That Cuts Content Costs Without Cutting People

Most AI-in-content efforts stall after a pilot because teams skip the hard part: operational design. In this session, you’ll learn a practical, “no-layoffs” operating model for integrating AI into enterprise content work—without compromising quality, voice, compliance, or team morale. We’ll walk through a repeatable workflow that clarifies where AI helps (and where it hurts), how to build human checks that scale, and how to tie the work to metrics leaders actually fund (cost-to-publish, time-to-update, support deflection, translation savings, and content reuse). You’ll leave with templates to assess readiness, design governance, train SMEs, and prove ROI beyond a proof of concept—so AI becomes a sustainable capability instead of a risky experiment.

In this session attendees will learn:

• How to identify high-ROI “AI-assist” moments in the content lifecycle (intake → authoring → review → publish → maintain) without turning AI into a quality risk
• A Human-In-The-Loop QA model (roles, checkpoints, escalation rules) that protects accuracy, compliance, and brand voice o. A lightweight governance blueprint: prompt library + style/terminology guardrails + decision rights (so work doesn’t die in stakeholder gridlock)
• The KPI tree that wins budget: cost-to-publish, time-to-update, reuse rate, translation leverage, support call deflection, and customer experience indicators
• A rollout plan that avoids “AI panic”: change management steps to keep teams engaged, upskilled, and indispensable—while still reducing costs