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"The data that we've been working with as people now becomes extremely useful in a world of agents. You're having this rebirth of the file system." Aaron Levie on Navigators with Paul Klein IV on why unstructured data, the 90% of enterprise data that has always been the hardest... show more

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66,225 views • 1 month ago •via X (Twitter)

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In the past, it wasn't possible for companies to tap into their unstructured data. But that's now changing with AI. On Greylock Partners Change Agents, Aaron Levie shared "We see a future where you can actually begin to bring agents to all that data and answer any kind of question the customer has, and then eventually be able to automate any kind of workflow that the customer has."

In the past, it wasn't possible for companies to tap into their unstructured data. But that's now changing with AI. On Greylock Partners Change Agents, Aaron Levie shared "We see a future where you can actually begin to bring agents to all that data and answer any kind of question the customer has, and then eventually be able to automate any kind of workflow that the customer has."

Box

315,675 views • 8 months ago

The reason we’re all in on AI agents at Box is because agents can now process all of the unstructured data in an enterprise at scale. Companies are sitting on mountains of valuable information that they can tap into for the first time.

The reason we’re all in on AI agents at Box is because agents can now process all of the unstructured data in an enterprise at scale. Companies are sitting on mountains of valuable information that they can tap into for the first time.

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"The unsolved problem of how do you turn data into something that is valuable within your business is now playing out." Aaron Levie spoke at Axios' AI+ Summit about the relationship between agents, data and business value.

"The unsolved problem of how do you turn data into something that is valuable within your business is now playing out." Aaron Levie spoke at Axios' AI+ Summit about the relationship between agents, data and business value.

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55,145 views • 8 months ago

The reason we’re so excited about AI at Box is because AI Agents thrive on unstructured data. Most companies are sitting on a goldmine of intelligence that they’ve never been able to fully tap into, and now can.

The reason we’re so excited about AI at Box is because AI Agents thrive on unstructured data. Most companies are sitting on a goldmine of intelligence that they’ve never been able to fully tap into, and now can.

Aaron Levie

95,588 views • 1 year ago

File systems are quickly becoming a core abstraction for AI agents for knowledge work. By having access to a file system, agents can effectively manage context, process any amount of information, and create new files and data. The challenge is that local file systems are inherently limited in size, lack governance capabilities, and are inherently personal -not collaborative- in nature. Now, with the Box API and LangChain's deepagent SDK, you can bring the full power of a secure, collaborative cloud file system to your AI agents. Repo ↓

File systems are quickly becoming a core abstraction for AI agents for knowledge work. By having access to a file system, agents can effectively manage context, process any amount of information, and create new files and data. The challenge is that local file systems are inherently limited in size, lack governance capabilities, and are inherently personal -not collaborative- in nature. Now, with the Box API and LangChain's deepagent SDK, you can bring the full power of a secure, collaborative cloud file system to your AI agents. Repo ↓

Box

227,348 views • 6 months ago

A significant amount of your company's value is sitting inside your enterprise content. Financial documents, contracts, marketing assets, etc. This is the context needed to let you finally tap into the value of AI agents at scale. Aaron Levie shared with Jeetu Patel at the Cisco AI Summit how deploying agents can automate workflows, create revenue opportunities, and unlock new areas of value.

A significant amount of your company's value is sitting inside your enterprise content. Financial documents, contracts, marketing assets, etc. This is the context needed to let you finally tap into the value of AI agents at scale. Aaron Levie shared with Jeetu Patel at the Cisco AI Summit how deploying agents can automate workflows, create revenue opportunities, and unlock new areas of value.

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Box is now integrated in ChatGPT for doing deep research on your enterprise content. This is going to be amazing for working through large sets of unstructured data. The future of AI is interoperability between systems.

Box is now integrated in ChatGPT for doing deep research on your enterprise content. This is going to be amazing for working through large sets of unstructured data. The future of AI is interoperability between systems.

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.Aaron Levie shared with CNBC why the rapid rise of AI agents is good news for enterprises that have the right foundation in place. "If you want to be able to include them in your workflow, have them augment your work, they need access to your critical enterprise data. And they need to access it in a secure way, in a way that's governed."

.Aaron Levie shared with CNBC why the rapid rise of AI agents is good news for enterprises that have the right foundation in place. "If you want to be able to include them in your workflow, have them augment your work, they need access to your critical enterprise data. And they need to access it in a secure way, in a way that's governed."

Box

1,904,830 views • 4 months ago

Today, Box is announcing major new AI agent capabilities to let customers tap into the full value of their unstructured data. First, we’re announcing all new updates to the Box AI Studio to make it even easier to build AI agents that tap into your enterprise content for any job function, business process, or industry specific use case. We are also expanding our set of foundational agents that customers will be able to use to work with their enterprise content, including new features like search and research on unstructured data. Next, we’re announcing Box Extract to enable customers to use AI agents seamlessly for complex data extraction from any type of document or content. This makes it easier than ever to pull out data from contracts, invoices, research data, marketing assets, medical charts, and more. Finally, we’re introducing Box Automate, a new workflow automation solution within Box that lets you deploy AI agents across enterprise content-centric workflows. With Box Automate, you can design your business process in a simple drag and drop builder and then drop in AI agents at any step in the process. This ensures agents execute tasks at the right steps in a workflow every time. Best of all, our AI agents and workflow tools are designed to work across any system our customers work within, whether it’s leveraging pre-built integrations, Box APIs, or the new Box MCP Server. Ultimately, all of these capabilities come together to transform how companies can work with their enterprise content. Software has historically only been good at automating work that deals with structured data, which is why ERP, CRM, and HR systems have been mainstays of enterprise software for so long. The data in these systems fits neatly into a database, and the workflows are very ripe for automation. But it turns out most of the work in the world deals with unstructured data. It’s ideating through research documents, working with a client on contracts, reviewing details for a new product launch, looking at a patient’s healthcare record to make a diagnosis, working through due diligence documents for an M&A deal, and so on. For the first time ever, we can begin to bring all new insights and automation to this work with AI agents. At Box, we’re incredibly excited to be on this journey to help customers transform how they work with their most important data.

Today, Box is announcing major new AI agent capabilities to let customers tap into the full value of their unstructured data. First, we’re announcing all new updates to the Box AI Studio to make it even easier to build AI agents that tap into your enterprise content for any job function, business process, or industry specific use case. We are also expanding our set of foundational agents that customers will be able to use to work with their enterprise content, including new features like search and research on unstructured data. Next, we’re announcing Box Extract to enable customers to use AI agents seamlessly for complex data extraction from any type of document or content. This makes it easier than ever to pull out data from contracts, invoices, research data, marketing assets, medical charts, and more. Finally, we’re introducing Box Automate, a new workflow automation solution within Box that lets you deploy AI agents across enterprise content-centric workflows. With Box Automate, you can design your business process in a simple drag and drop builder and then drop in AI agents at any step in the process. This ensures agents execute tasks at the right steps in a workflow every time. Best of all, our AI agents and workflow tools are designed to work across any system our customers work within, whether it’s leveraging pre-built integrations, Box APIs, or the new Box MCP Server. Ultimately, all of these capabilities come together to transform how companies can work with their enterprise content. Software has historically only been good at automating work that deals with structured data, which is why ERP, CRM, and HR systems have been mainstays of enterprise software for so long. The data in these systems fits neatly into a database, and the workflows are very ripe for automation. But it turns out most of the work in the world deals with unstructured data. It’s ideating through research documents, working with a client on contracts, reviewing details for a new product launch, looking at a patient’s healthcare record to make a diagnosis, working through due diligence documents for an M&A deal, and so on. For the first time ever, we can begin to bring all new insights and automation to this work with AI agents. At Box, we’re incredibly excited to be on this journey to help customers transform how they work with their most important data.

Aaron Levie

91,863 views • 11 months ago

What does it take to move from AI experimentation to real business impact? Our COO Olivia Nottebohm on content strategy, governance, platform flexibility, and the workforce narrative nobody is talking about, all grounded in findings from our State of AI in the Enterprise report. Timestamps 01:07 Why AI adoption has been so rapid 02:15 Why the ROI gap exists between leading edge and early stage 04:04 The data and content strategy problem 05:56 Real customer examples of new types of work 08:14 Why unstructured data is the biggest unlock 10:07 What good governance looks like 12:30 Headless architecture and platform flexibility 14:21 AI and the workforce

What does it take to move from AI experimentation to real business impact? Our COO Olivia Nottebohm on content strategy, governance, platform flexibility, and the workforce narrative nobody is talking about, all grounded in findings from our State of AI in the Enterprise report. Timestamps 01:07 Why AI adoption has been so rapid 02:15 Why the ROI gap exists between leading edge and early stage 04:04 The data and content strategy problem 05:56 Real customer examples of new types of work 08:14 Why unstructured data is the biggest unlock 10:07 What good governance looks like 12:30 Headless architecture and platform flexibility 14:21 AI and the workforce

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1,554,784 views • 2 months ago

AI is changing what data teams are expected to build. Increasingly, the focus is on AI applications, agents, and automations that turn data into action. That’s why founder Zach Wilson is launching a free six-hour Databricks boot camp starting August 3, covering: • Building data systems with Lakebase and Postgres • Working with unstructured data, vector search, and retrieval • Building AI agents with Agent Bricks The course runs entirely in Databricks Free Edition and is designed for beginners and practitioners building practical AI data engineering skills. Join here:

AI is changing what data teams are expected to build. Increasingly, the focus is on AI applications, agents, and automations that turn data into action. That’s why founder Zach Wilson is launching a free six-hour Databricks boot camp starting August 3, covering: • Building data systems with Lakebase and Postgres • Working with unstructured data, vector search, and retrieval • Building AI agents with Agent Bricks The course runs entirely in Databricks Free Edition and is designed for beginners and practitioners building practical AI data engineering skills. Join here:

Databricks

21,067 views • 22 days ago

ChatGPT connecting to external data sources offers a glimpse into what AI interoperability looks like. Ask any question in ChatGPT and it can now pull data from Box. The future of AI is AI Agents that can access your systems and data to complete any task for you.

ChatGPT connecting to external data sources offers a glimpse into what AI interoperability looks like. Ask any question in ChatGPT and it can now pull data from Box. The future of AI is AI Agents that can access your systems and data to complete any task for you.

Aaron Levie

57,745 views • 1 year ago

"You can vibe code the creation of the contract. But the contract still has to get stored somewhere. It still has to get governed somewhere. It still has to have a retention policy and access controls." Aaron Levie spoke with Casey Newton on why the most agentic enterprise future still runs on governed, structured data and why that makes the content layer more critical than ever.

"You can vibe code the creation of the contract. But the contract still has to get stored somewhere. It still has to get governed somewhere. It still has to have a retention policy and access controls." Aaron Levie spoke with Casey Newton on why the most agentic enterprise future still runs on governed, structured data and why that makes the content layer more critical than ever.

Box

788,048 views • 3 months ago

Work doesn’t happen in structured fields alone — it lives in contracts, forms, images, and documents. Box AI Agents help teams unlock critical insights from unstructured data, automate tasks, and move faster with agentic reasoning and enterprise context. Learn more:

Work doesn’t happen in structured fields alone — it lives in contracts, forms, images, and documents. Box AI Agents help teams unlock critical insights from unstructured data, automate tasks, and move faster with agentic reasoning and enterprise context. Learn more:

Box

1,019,240 views • 4 months ago

"Agents really love files. They might need to tap into files you've curated or want to share with them — but you probably want a partitioned file system that only the agent has access to and can't touch other things." Aaron Levie spoke at Daytona's Compute Conference with Mark Suster on why agents need file systems and why getting that foundation right is one of the most important infrastructure decisions enterprises will make.

"Agents really love files. They might need to tap into files you've curated or want to share with them — but you probably want a partitioned file system that only the agent has access to and can't touch other things." Aaron Levie spoke at Daytona's Compute Conference with Mark Suster on why agents need file systems and why getting that foundation right is one of the most important infrastructure decisions enterprises will make.

Box

3,241,629 views • 4 months ago

Hot topic in vogue is what happens to systems of record in an era of 1000x more agents than humans. Aaron Levie has been the CEO of Box for 20 years and believes that systems of record become more important, not less, with agents: “Systems of record were built for a TAM of human employees. And that was sort of where the value maxed out at. And now maybe we'll have a hundred times more agents than people or a thousand times more agents than people. So I think on a relative basis, the agent layer will seize growth from zero to a trillion. But the system of record layer now has a thousand times more users on it that need to access data and need to execute a workflow and need to move things through various events. And importantly, you need as an enterprise to care about data integrity and security and the controls in your workflow and traffic copying the agents. So basically, this is where I am very diametrically opposed to the view that the system of record gets is squeezed into a database interaction layer because you actually need all of the core system of record properties for the agents to operate on.”

Hot topic in vogue is what happens to systems of record in an era of 1000x more agents than humans. Aaron Levie has been the CEO of Box for 20 years and believes that systems of record become more important, not less, with agents: “Systems of record were built for a TAM of human employees. And that was sort of where the value maxed out at. And now maybe we'll have a hundred times more agents than people or a thousand times more agents than people. So I think on a relative basis, the agent layer will seize growth from zero to a trillion. But the system of record layer now has a thousand times more users on it that need to access data and need to execute a workflow and need to move things through various events. And importantly, you need as an enterprise to care about data integrity and security and the controls in your workflow and traffic copying the agents. So basically, this is where I am very diametrically opposed to the view that the system of record gets is squeezed into a database interaction layer because you actually need all of the core system of record properties for the agents to operate on.”

Corinne Marie Riley

119,410 views • 8 months ago

Aaron Levie is one of the greats. He’s been the co-founder and CEO of Box for 20 years, of which public CEO for 10. And he shows no signs of slowing down, as one of the most active CEOs thinking about how AI agents will shape enterprise software. In our Greylock Partners Change Agents, Aaron and I discussed the question: happens when SaaS is no longer built for humans, but for a much larger scale of agents and humans orchestrating those agents? A few of my favorite topics from the episode: - Why 90%+ of enterprise data has gone unused to date and how agents finally make it accessible - Why SaaS categories won’t disappear, but will be rebuilt around agent orchestration layers - Why the system of record doesn't lose importance, but gains importance the enable agents - How abundance (not labor replacement) is the real shift agents bring to knowledge work - And the real moat in the agent era may be neither the model nor the interface but the workflow memory the agent accumulates over time Aaron has one of the clearest, most grounded takes on where agents for the enterprise can go and what happens to traditional enterprise SaaS. Full episode below:

Aaron Levie is one of the greats. He’s been the co-founder and CEO of Box for 20 years, of which public CEO for 10. And he shows no signs of slowing down, as one of the most active CEOs thinking about how AI agents will shape enterprise software. In our Greylock Partners Change Agents, Aaron and I discussed the question: happens when SaaS is no longer built for humans, but for a much larger scale of agents and humans orchestrating those agents? A few of my favorite topics from the episode: - Why 90%+ of enterprise data has gone unused to date and how agents finally make it accessible - Why SaaS categories won’t disappear, but will be rebuilt around agent orchestration layers - Why the system of record doesn't lose importance, but gains importance the enable agents - How abundance (not labor replacement) is the real shift agents bring to knowledge work - And the real moat in the agent era may be neither the model nor the interface but the workflow memory the agent accumulates over time Aaron has one of the clearest, most grounded takes on where agents for the enterprise can go and what happens to traditional enterprise SaaS. Full episode below:

Corinne Marie Riley

43,790 views • 8 months ago