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 more than seven 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, you’ll learn about:

• 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
• 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