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Notes on putting AI to work

Plain explanations of how AI automation and AI agents work inside real business processes: what to automate first, where people stay in control, and how to run it once it is live.

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FeaturedAI Operations5 min read

What Data Should an AI Agent Be Able to See?

An AI agent should see only the data its task needs, with access you can narrow, log and revoke. Here is how to decide what an agent may read, what it may write, and what stays out of reach.

ThynkBlox AI Team

October 11, 2026

1 post

Workflow Automation

Document and back-office processes: what to automate, how to do it, and where automation fails.

Workflow Automation5 min read

Which Process Should You Automate First with AI?

The best first process for AI automation is rarely the most impressive one. Here is how to score your candidates, spot the warning signs, and prepare before you ask anyone for a quote.

ThynkBlox AI Team·September 26, 2026

1 post

AI Agents

Custom agents on top of your ERP and CRM: tools, permissions, evaluation and human approval.

AI Agents4 min read

Human-in-the-Loop AI Agents: Where the Approval Step Belongs

An approval step decides what an AI agent may change on its own. Here is how to choose which actions wait for a person, what the reviewer needs to see, and how to reduce approvals safely over time.

ThynkBlox AI Team·September 27, 2026

1 post

AI Operations

Running AI in production: security, data governance, cost control, audits and pilots.

AI Operations5 min read

How to Run an AI Pilot That Ends in a Decision

A good AI pilot ends with a number and a decision, not a demo. Here is how to fix the scope, agree the success measures before the build, and decide what happens when the result is mixed.

ThynkBlox AI Team·October 11, 2026