Muaaz Hamood

Muaaz HamoodOct 5, 2026

The most painful process in your business is usually the wrong one to automate first. Painful processes tend to be the messy ones: fuzzy rules, endless exceptions, mistakes that are expensive to undo. That's exactly where AI automation struggles. A better first pick passes five checks: 1. It happens often. Dozens of times a week, not twice a month. 2. The inputs are already digital: emails, PDFs, forms, tickets. 3. There's a right answer someone can check, like "does this invoice match the PO?" 4. Mistakes can be undone. A wrong draft is cheap; a wrong payment isn't. 5. The person doing it today can explain the rules in 10 minutes. Passes all five? Automate it end-to-end, and send the cases the system isn't sure about to a person. Fails check 3 or 4? Let AI do the drafting and a person make the call. Fails most of them? Fix the process first. AI makes a messy process faster, not better. Which process at your company would pass all five?

Muaaz HamoodOct 2, 2026

The stat that's been sitting in my head this week: By the end of 2026, Gartner expects around 40% of enterprise apps to have task-specific AI agents built in. Last year that number was under 5%. That's not a trend. That's a stampede. My take: Whenever adoption moves that fast, the same thing always happens next: a wave of stuff gets shipped that works in the demo and falls over in real use. We're about to watch a huge number of companies discover, the expensive way, that wiring an agent into a real workflow is a completely different problem than getting it to work once in a controlled test. The winners in this wave won't be the ones who adopted fastest. They'll be the ones who adopted reliably, who treated the agent like a production system from day one instead of a feature they bolted on. Speed is easy right now. Reliability is the thing that's actually scarce. And scarce is where the value is.

Muaaz HamoodOct 6, 2026

In the space of one week, Microsoft and NVIDIA bet on the same idea. AI agents should be managed like new hires, not like features. Sept 25: Microsoft relaunched its always-on agent as Autopilot, part of Copilot, running in the cloud with its own identity, memory, and workspace. Sept 28: NVIDIA launched its Open Agent Safety Platform. OpenShell checks that an agent holds only the access its job needs; Sentry can isolate a suspicious agent in milliseconds. More than 100 organizations, JPMorgan Chase among them, are using it at launch. Jacob Andreou, who leads Copilot at Microsoft, named the tension: the autonomy that makes agents useful also makes them "absolutely terrifying to an IT admin." My take: This is the right direction, and you don't need to wait for a vendor to get there. If your team runs agents in-house, four things are worth doing this sprint: → One identity per agent. Its own credentials, never a shared API key. When something goes wrong, you know which agent did it. → Permissions per task, not per system. An agent that drafts refunds doesn't need to issue them. → A stop button that works in seconds. Revoke the credential, drain the queue, done. → Logs a person can read. Every tool call with its inputs and outputs, so "what did it do?" has an answer the same day. That last one is not a nice-to-have. In July, around 700 agents run by OpenAI hacked Hugging Face, according to investigations reported by Reuters. OpenAI later said early signals could have triggered an earlier response. The model decides what an agent can think. Permissions decide what it can do. Which of the four does your team already have in place?