An internal Meta memo lays out the company's plan to kickstart an enterprise AI business, The Information reports. The disclosure offers a rare look at how Meta intends to convert its consumer-scale AI investments into revenue from corporate customers.

The memo's existence, first reported by The Information, signals that Meta is preparing a structured push into the enterprise segment rather than relying on ad-hoc adoption of its models by businesses. Details of the document were not disclosed in the report now circulating, but the central fact is clear: Meta has an internal plan, in writing, to build a commercial enterprise AI operation.

Why is Meta moving on enterprise AI now?

Meta has invested heavily in AI infrastructure and model development, including the Llama family of large language models distributed under open licenses. Enterprise sales would open a revenue channel that does not depend on advertising, which still accounts for the overwhelming majority of Meta's income.

An internal memo of this kind typically precedes formal product launches, pricing decisions, and go-to-market hiring. For CIOs and procurement teams, the development matters because it suggests Meta will compete more directly with established enterprise AI vendors — Microsoft, Google, and Amazon among them — for corporate workloads.

What could this mean for enterprise buyers?

The report does not specify which products, timelines, or pricing structures the memo contains. What it does establish is intent:

• Meta has drafted an internal plan specifically aimed at starting an enterprise AI business.

• The plan surfaced through a memo, indicating executive-level direction rather than exploratory research.

• The Information, which broke the story, is treating the effort as significant enough to warrant coverage of the internal document itself.

For IT leaders evaluating AI vendors, a Meta enterprise offering would add another large-model option to shortlists. Meta's open-weight Llama models already circulate in enterprise environments through third-party hosting and fine-tuning arrangements. A formal Meta enterprise business would bring first-party support, service-level commitments, and direct commercial relationships.

How does this fit Meta's broader AI posture?

Meta CEO Mark Zuckerberg has repeatedly framed AI as central to the company's future, with capital expenditure guidance reflecting large-scale investment in data centers and training compute. An enterprise AI business would give the company a way to monetize that infrastructure beyond the ad business and consumer apps such as Meta AI.

The memo suggests Meta leadership sees corporate customers as a distinct, addressable market requiring its own strategy — separate from the consumer assistant built into WhatsApp, Instagram, and Facebook.

What should CIOs watch next?

The specifics in the memo — product scope, launch dates, pricing, sales targets — remain undisclosed in the available reporting. Enterprise buyers should watch for:

• Formal product announcements or an enterprise tier for Meta's AI offerings.

• Go-to-market hires and sales leadership appointments in enterprise AI.

• Partnership or distribution arrangements that would determine how Meta's models reach corporate workloads.

• Any commitments on security, compliance, and data handling that enterprise procurement would require.

The Information's report establishes the direction. The pace and shape of execution will determine whether Meta becomes a credible fourth or fifth option in enterprise AI procurement, or remains primarily a model provider whose weights others commercialize.

For now, the hard fact stands: Meta has an internal plan, documented in a memo, to kickstart an enterprise AI business. That alone reshapes assumptions about where the company expects its next major revenue line to come from.