Approvals are where good work goes to… wait. Someone submits a request, it lands in the wrong inbox, details are missing, and the whole thing turns into a detective story. This week’s automation pattern is simple and powerful: create an AI intake agent that collects the right info, classifies the request, and routes it to…...
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Many programs collect solid assessment data but stall when it comes to action. Reports get filed, conversations happen, then momentum fades. This week focuses on a practical workflow that uses GenAI to help translate assessment findings into clear, trackable improvement actions that programs can actually follow through on.
Many teams leave meetings with good intentions and messy notes. The real work begins afterward when someone has to remember decisions, write summaries, and track tasks. AI meeting assistants change that pattern. Instead of manual note‑taking, the system captures the discussion, summarizes it, and generates action items automatically. Many modern tools now transcribe meetings and extract follow‑up tasks directly from conversations
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Students now have access to powerful AI tools that can draft essays, summarize readings, and generate solutions. That reality forces a simple but uncomfortable question for higher education. Are we still assessing student thinking, or are we assessing the ability to prompt a machine?
Your inbox probably feels like a never‑ending conveyor belt of requests, updates, and questions. The trick isn’t replying faster. It’s turning incoming messages into automated actions so work moves forward without constant manual sorting.
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Most programs assume their learning outcomes are well covered across courses. But when you actually map assignments to outcomes, gaps and redundancies appear. This week, we explore how GenAI can accelerate curriculum mapping and help programs see their assessment coverage clearly.
Slide decks still eat hours every week. Status updates, initiative summaries, board briefs. This week you will learn how to turn raw notes and scattered updates into polished, executive-ready presentations using AI so your time goes into thinking, not formatting.
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We move fast. We ship projects, respond to emails, teach classes, solve problems—and then we move on. This week’s theme is AI and reflection—how to slow down, learn from experience, and turn everyday work into insight. Focus creates the space; reflection gives it meaning. Let’s explore how AI can become a thoughtful partner in helping you notice patterns, extract lessons, and grow intentionally.
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Rubrics are the backbone of meaningful assessment, but building them well takes time, debate, and iteration. This week, we explore how GenAI can help you design, refine, and strengthen rubrics faster while keeping faculty firmly in control of academic standards.
Your team doesn’t need more documents. They need answers. This week’s workflow shows how to turn your internal knowledge into an AI assistant that responds instantly, so employees stop searching and start executing.
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If your week is a blur of calls, you don’t need “better memory.” You need a system. Today’s workflow turns meetings into clean notes, owners, and next steps, automatically, so momentum survives the calendar.
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If AI can draft essays, summarize research, and outline arguments in seconds, what exactly are we assessing when we assign traditional analytic tasks? This week we step into the deep water: how to design and evaluate higher-order thinking—analysis, synthesis, evaluation, creativity—when students have access to powerful generative tools.
