[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]  Aaron Levie [@levie](/creator/twitter/levie) on x 2.5M followers Created: 2025-07-03 02:51:35 UTC A big question in software is what happens to the systems of record in a world of AI Agents. Do they go away? Do they just become databases? Or do they become more powerful? I’d argue that they’re just as powerful as ever, if not more powerful, in a world of 100X more interactions with software. The purpose of your system of record (whether it’s ERP, CRM, ITSM, or a document management system) is to hold the data and manage the workflows around the most important areas of your business: your customer commitments, leads, revenue figures, inventory, IP, product research, supply chain, and more. Importantly, you want the data and workflows in these systems operate in deterministic ways. When you ask a question like “what is my revenue,” you need the precise answer. When you move a lead from one stage to another, you can’t afford for it to get dropped. When you update your inventory, you can’t have it change inadvertently. Getting the data, permissions, access controls, business logic, and workflows right, every single time, is critical. On the other hand, AI Agents operate in a world of non-deterministic actions. What makes them so powerful is they can adapt to entirely new instructions on the fly, use judgment to perform actions, and operate on troves of unstructured information and decisions. When you ask an AI Agent to research and summarize a set of documents, it will produce a slightly different answer every single time - and in most use-cases for AI Agents, this is a feature, not a bug. Just as you wouldn’t ask the world’s smartest human to memorize every piece of inventory you have, or all of the permissions of every information that employees should have access (with their specific access controls) to, you similarly won’t ask AI Agents to do that in the future. This is where the separation of duties comes into play. AI Agents will be doing non-deterministic actions (like generating a sales plan, responding to a customer, or writing code), and deterministic systems will be for remembering those actions and incorporating them across a variety of workflows. In fact, in a world of AI Agents running around doing autonomous tasks 24/7, in parallel, and at unlimited scale, the role that these systems of record play will likely be even more important. Getting this relationship down is going to be key to the future of the enterprise IT stack. XXXXXXX engagements  **Related Topics** [100x](/topic/100x) [coins ai agents](/topic/coins-ai-agents) [coins ai](/topic/coins-ai) [world of](/topic/world-of) [Post Link](https://x.com/levie/status/1940604306245472700)
[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]
Aaron Levie @levie on x 2.5M followers
Created: 2025-07-03 02:51:35 UTC
A big question in software is what happens to the systems of record in a world of AI Agents. Do they go away? Do they just become databases? Or do they become more powerful?
I’d argue that they’re just as powerful as ever, if not more powerful, in a world of 100X more interactions with software.
The purpose of your system of record (whether it’s ERP, CRM, ITSM, or a document management system) is to hold the data and manage the workflows around the most important areas of your business: your customer commitments, leads, revenue figures, inventory, IP, product research, supply chain, and more.
Importantly, you want the data and workflows in these systems operate in deterministic ways. When you ask a question like “what is my revenue,” you need the precise answer. When you move a lead from one stage to another, you can’t afford for it to get dropped. When you update your inventory, you can’t have it change inadvertently. Getting the data, permissions, access controls, business logic, and workflows right, every single time, is critical.
On the other hand, AI Agents operate in a world of non-deterministic actions. What makes them so powerful is they can adapt to entirely new instructions on the fly, use judgment to perform actions, and operate on troves of unstructured information and decisions. When you ask an AI Agent to research and summarize a set of documents, it will produce a slightly different answer every single time - and in most use-cases for AI Agents, this is a feature, not a bug.
Just as you wouldn’t ask the world’s smartest human to memorize every piece of inventory you have, or all of the permissions of every information that employees should have access (with their specific access controls) to, you similarly won’t ask AI Agents to do that in the future.
This is where the separation of duties comes into play. AI Agents will be doing non-deterministic actions (like generating a sales plan, responding to a customer, or writing code), and deterministic systems will be for remembering those actions and incorporating them across a variety of workflows.
In fact, in a world of AI Agents running around doing autonomous tasks 24/7, in parallel, and at unlimited scale, the role that these systems of record play will likely be even more important. Getting this relationship down is going to be key to the future of the enterprise IT stack.
XXXXXXX engagements
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