BREAKING: 95% of Enterprise AI Projects Are Failing

Will your AI actually know what your business does?

By Chris Mahl, CEO, Pryon

And it's NOT what you think.

Everyone's obsessed with GPT-5, Claude, and the latest shiny AI models.

Meanwhile, smart CEOs are quietly building something else entirely...

Memory foundations.

Here's the brutal truth:

Your competitors aren't winning because they have better imagination.

They're winning because they control their enterprise knowledge infrastructure.

While you're burning millions on LLM subscriptions, they're building dedicated memory layers that:

β†’ Control their business truth

β†’ Manage institutional knowledge

β†’ Enhance decision-making speed

β†’ Productize trusted information into defensible IP (yours, not cloud platforms' knowledge)

Then ...

Unleash AI based upon trust and control internally first...

3 Shocking Examples from the Last 12 Months:

πŸ“° Two major US newspapers published AI-generated summer reading lists recommending books that don't exist (May 2025)

Why? Their AI couldn't access real book catalog databases.

πŸ’» A leading tech platform's AI assistant wiped out a startup's ENTIRE production database (July 2025)

Why? It ignored explicit instructions because it lacked access to current system protocols.

🍟 A global restaurant chain exposed 64 million job applicants' data when researchers cracked their AI chatbot with password "123456" (2025)

Why? No enterprise security memory architecture.

The MIT Reality Check: 95% of enterprise AI initiatives fail due to poor knowledge infrastructure.

But the 5% with robust memory foundations?

They're extracting MILLIONS in value.

Here's what most executives miss:

Your AI agents are only as good as the business truth they can access.

Without a sovereign knowledge infrastructure, aka Pryon SCM, your AI represents guessing, not today's reality.

One of my early mentors, Marc Benioff, emphasized the importance of truth as a key ally in building a great company.

Never has that been more the case than with your organization's true and accurate memory. AI will never build that for you; you have it today. It needs to be made ready for AI.

The question isn't whether to invest in AI.

The question is whether your AI will actually know what your business does.

What's your take?

Are you chasing models or building foundations?

Just Know Now...

‍

BREAKING: 95% of Enterprise AI Projects Are Failing

Will your AI actually know what your business does?

By Chris Mahl, CEO, Pryon

And it's NOT what you think.

Everyone's obsessed with GPT-5, Claude, and the latest shiny AI models.

Meanwhile, smart CEOs are quietly building something else entirely...

Memory foundations.

Here's the brutal truth:

Your competitors aren't winning because they have better imagination.

They're winning because they control their enterprise knowledge infrastructure.

While you're burning millions on LLM subscriptions, they're building dedicated memory layers that:

β†’ Control their business truth

β†’ Manage institutional knowledge

β†’ Enhance decision-making speed

β†’ Productize trusted information into defensible IP (yours, not cloud platforms' knowledge)

Then ...

Unleash AI based upon trust and control internally first...

3 Shocking Examples from the Last 12 Months:

πŸ“° Two major US newspapers published AI-generated summer reading lists recommending books that don't exist (May 2025)

Why? Their AI couldn't access real book catalog databases.

πŸ’» A leading tech platform's AI assistant wiped out a startup's ENTIRE production database (July 2025)

Why? It ignored explicit instructions because it lacked access to current system protocols.

🍟 A global restaurant chain exposed 64 million job applicants' data when researchers cracked their AI chatbot with password "123456" (2025)

Why? No enterprise security memory architecture.

The MIT Reality Check: 95% of enterprise AI initiatives fail due to poor knowledge infrastructure.

But the 5% with robust memory foundations?

They're extracting MILLIONS in value.

Here's what most executives miss:

Your AI agents are only as good as the business truth they can access.

Without a sovereign knowledge infrastructure, aka Pryon SCM, your AI represents guessing, not today's reality.

One of my early mentors, Marc Benioff, emphasized the importance of truth as a key ally in building a great company.

Never has that been more the case than with your organization's true and accurate memory. AI will never build that for you; you have it today. It needs to be made ready for AI.

The question isn't whether to invest in AI.

The question is whether your AI will actually know what your business does.

What's your take?

Are you chasing models or building foundations?

Just Know Now...

‍

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BREAKING: 95% of Enterprise AI Projects Are Failing

Will your AI actually know what your business does?

By Chris Mahl, CEO, Pryon

And it's NOT what you think.

Everyone's obsessed with GPT-5, Claude, and the latest shiny AI models.

Meanwhile, smart CEOs are quietly building something else entirely...

Memory foundations.

Here's the brutal truth:

Your competitors aren't winning because they have better imagination.

They're winning because they control their enterprise knowledge infrastructure.

While you're burning millions on LLM subscriptions, they're building dedicated memory layers that:

β†’ Control their business truth

β†’ Manage institutional knowledge

β†’ Enhance decision-making speed

β†’ Productize trusted information into defensible IP (yours, not cloud platforms' knowledge)

Then ...

Unleash AI based upon trust and control internally first...

3 Shocking Examples from the Last 12 Months:

πŸ“° Two major US newspapers published AI-generated summer reading lists recommending books that don't exist (May 2025)

Why? Their AI couldn't access real book catalog databases.

πŸ’» A leading tech platform's AI assistant wiped out a startup's ENTIRE production database (July 2025)

Why? It ignored explicit instructions because it lacked access to current system protocols.

🍟 A global restaurant chain exposed 64 million job applicants' data when researchers cracked their AI chatbot with password "123456" (2025)

Why? No enterprise security memory architecture.

The MIT Reality Check: 95% of enterprise AI initiatives fail due to poor knowledge infrastructure.

But the 5% with robust memory foundations?

They're extracting MILLIONS in value.

Here's what most executives miss:

Your AI agents are only as good as the business truth they can access.

Without a sovereign knowledge infrastructure, aka Pryon SCM, your AI represents guessing, not today's reality.

One of my early mentors, Marc Benioff, emphasized the importance of truth as a key ally in building a great company.

Never has that been more the case than with your organization's true and accurate memory. AI will never build that for you; you have it today. It needs to be made ready for AI.

The question isn't whether to invest in AI.

The question is whether your AI will actually know what your business does.

What's your take?

Are you chasing models or building foundations?

Just Know Now...

‍