McKinsey on Agentic AI: Six Lessons That Shape ReplyFabric
McKinsey’s deep dive into 50+ agentic AI builds proves a clear point: value doesn’t come from shiny agents, but from workflows, trust, reuse, and human collaboration. Here’s how ReplyFabric aligns with those lessons for shared inboxes.

A year into the agentic AI revolution, McKinsey has one clear message: success doesn’t come from building shiny agents alone—it comes from redesigning workflows and making humans and AI collaborate seamlessly.
At ReplyFabric, we couldn’t agree more. Shared inboxes like support@ or info@ are complex, time consuming workflows. They’re filled with categorization, prioritization, drafting, and validation steps—exactly the type of high-variance processes where agentic AI can shine if built the right way. McKinsey analyzed over 50 agentic AI builds and shared six lessons. Here’s how we’re putting them into practice:
1. Workflow beats agent
McKinsey: Too many companies obsess over agents but forget to fix workflows.
ReplyFabric: We started with the inbox workflow itself. From categorization to drafting and validation, we orchestrate the full flow so teams actually feel the productivity gains.
2. Not every task needs an agent
McKinsey: Some jobs are better handled by rules or automation.
ReplyFabric: Exactly. That’s why our platform allows filters and rules before AI kicks in. Newsletters? Archive. Customer requests? AI + Human in the Loop.
3. Stop “AI slop”
McKinsey: Poor outputs destroy trust.
ReplyFabric: Our dual-layer validation prevents sloppy drafts from reaching customers. Agents are trained like employees—with onboarding, feedback, and continuous improvement.
4. Track and verify every step
McKinsey: Observability is key when scaling agents.
ReplyFabric: Every reply can be traced, verified, and corrected. That transparency builds confidence in teams and customers alike.
5. Reuse beats one-off agents
McKinsey: Redundant agents waste time and money.
ReplyFabric: We reuse building blocks—categorization, sentiment detection, RAG lookups—across inboxes and languages. One foundation, many outcomes.
6. Humans remain essential
McKinsey: People still matter for compliance, judgment, and edge cases.
ReplyFabric: This is our Human in the Loop philosophy. In 99% of cases the draft is sent in seconds without edits, but that 1% human correction makes the difference. That’s the Human Premium.
👉 The bottom line? McKinsey’s six lessons are not abstract theory—they’re the blueprint for ReplyFabric. By aligning with these principles from day one, we’re not just deploying agents; we’re fixing email workflows, restoring trust, and letting teams shine again.
Try ReplyFabric today—where McKinsey’s lessons meet real-world shared inboxes.
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About the Author
Tom Vanderbauwhede is the founder & CEO of ReplyFabric, lecturer in AI at KdG University, and a seasoned entrepreneur with 25+ years of business experience. He holds master's degrees in Applied Economics, Business Administration (MBA), and Strategic Change Management & Leadership. Tom is passionate about building AI tools that reduce email overload and help teams focus on what matters.
Connect with Tom on LinkedIn and follow his journey as a founder.