u/Billy_Le

Everyone is talking about agents, but very few are actually using them for real work. AWS just integrated OpenAI into Bedrock to try and fix the reliability/governance gap, but the hardware (Embodied AI) is still catching up.

I’ve been tracking the May 2026 enterprise updates, and there's a weird disconnect. We see Salesforce boasting 8,000+ Agent force customers, but the actual "scale" of these deployments is still tiny.

Most companies are stuck because:

1. The Reliability Gap: They can't get agents past the 70% accuracy mark needed for computer-use tasks.
2. The Infrastructure Mess: Legacy systems don't talk to AI agents well.

AWS integrating OpenAI is a huge move because it lets companies use the models they want on the security stack they already pay for. Meanwhile, companies like StellarSpace are finally releasing the industrial hardware (PLCs/Servos) that can actually take an AI’s "thought" and turn it into a precise physical move without breaking something.

Are we overhyping "Agentic AI" again, or is the infrastructure finally ready to handle the chaos?

What are you seeing in your internal projects? Are you actually "live" or just running demos for the board?

Building a "Compliance OS" in Notion is less about documenting policies and more about architecting a living evidence engine. When I built our SOC 2 readiness system, the breakthrough was using database relations to link every abstract control (like CC1.1) directly to a recurring task with a mandatory file-upload property. We found that centralizing "Access Reviews" and "Vendor Risk Assessments" into one filtered dashboard reduced our prep time by about 65% compared to using scattered spreadsheets. One tip: use Synced Blocks for your high-level security policies so an update in your Master Governance page instantly mirrors to the Employee Handbook and Client Trust portal. This stops the versioning nightmares that auditors love to flag during walkthroughs. It turns Notion from a static wiki into a verifiable system of record.

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