Meta Platforms has begun forming a sales organization to sell its AI products to small and midsize businesses, The Information reported on 9 November in an exclusive. The company is also forging relationships with consulting firms and systems integrators, including Accenture, Deloitte and IBM, the report said.
The report lands 42 days after Meta announced the Meta Enterprise Platform on 28 September, by our arithmetic. At that launch, Meta disclosed no revenue, no customer count and no pricing for the new business.
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The key insight:Meta has begun forming a sales organization for small and midsize businesses and forging relationships with Accenture, Deloitte and IBM, The Information reported, 42 days after Meta announced its enterprise platform, by our arithmetic.
The Information described the sales team and the partnerships as the next steps in a plan to build a new business selling Meta’s AI products to companies. The sales organization is aimed at small and midsize businesses, according to the report’s summary, which we could read; the full article is behind a paywall.
A post on X by @StockMKTNewz, citing The Information, said the consulting partnerships are meant “to help sell and deploy its AI to large companies”. The report’s headline frames the plan as an effort to win over big companies. Meta has not commented on the report in any statement we have seen.
Meta’s reported steps toward selling AI to businesses, 28 September to 9 November 2026. Rows are from Meta, Meta’s and AMD’s earnings calls, The Times and The Information, as reported; 42 days is our arithmetic.
Update, 9 Nov (Wall St Engine on X, citing The Information; Meta Q3 2026 release). A post on X at 14:06 UTC adds detail beyond the summary we could read. As relayed by Wall St Engine, citing The Information, Meta plans to work with consulting firms including Accenture, Deloitte and IBM “to sell and deploy its AI products to businesses”, and that the push builds on Meta Enterprise Platform, whose offerings include “Muse Spark AI models, Muse Code and business AI agents.”
According to the post, Meta “previously abandoned efforts to deploy AI agents directly on retailers’ websites after facing resistance over customer data access, control and technical integration.” It adds that Meta’s business agents “have gained traction through WhatsApp and Messenger, including with companies like Flipkart.” We have not read these details in The Information’s own text, and Meta and Flipkart have not commented in anything we have seen.
The post puts Meta’s capital spending at “as much as $145B this year.” Meta’s own figure is a range. In its third-quarter release of 21 October, Meta said it anticipates 2026 capital expenditures, including principal payments on finance leases, “to be in the range of $135-145 billion, narrowed from our prior outlook of $130-145 billion.” The $145 billion in the post is the top of that range.
What Was Posted on X
META $META IS BUILDING A SALES TEAM TO SELL ITS AI TO BUSINESSES
The company has started forming a sales organization to sell its AI products to small and midsize businesses, per The Information.
It’s also building partnerships with consulting firms including Accenture, Deloitte, and IBM to help sell and deploy its AI to large companies.
Evan (@StockMKTNewz) posted this on 9 November, three minutes after The Information published, citing its report. The post adds that the consulting partnerships are meant to help sell and deploy Meta’s AI to large companies; this piece quotes that line and attributes it to the post.
$META IS EXPANDING INTO ENTERPRISE AI
Meta is building a dedicated sales team and plans to work with consulting firms, including Accenture, Deloitte and IBM, to sell and deploy its AI products to businesses, The Information reports.
The push builds on Meta Enterprise Platform, launched in September under former MongoDB CEO CJ Desai. Its offerings include Muse Spark AI models, Muse Code and business AI agents.
Meta previously abandoned efforts to deploy AI agents directly on retailers’ websites after facing resistance over customer data access, control and technical integration.
However, its business agents have gained traction through WhatsApp and Messenger, including with companies like Flipkart.
The broader effort is part of Meta’s strategy to generate new revenue from its AI investments, with capital spending expected to reach as much as $145B this year.
Wall St Engine (@wallstengine) posted this at 14:06 UTC on 9 November, relaying The Information’s report. It adds the Muse Spark models, the abandoned agents on retailers’ websites and the WhatsApp and Messenger traction with Flipkart; the Update box in this piece quotes those lines and attributes them to the post.
The 42 Days Before It
On 28 September, Meta announced what Mark Zuckerberg called “starting the next major pillar of our business”, as we reported in Meta Enterprise Platform and the MongoDB Repricing. The named stack was Muse agent, Meta Business Agent, Muse API and Muse Code, and former MongoDB chief executive CJ Desai joined as Chief Enterprise Platform Officer, reporting to Zuckerberg.
On Meta’s 21 October earnings call, finance chief Susan Li said: “Based on a recent user survey, we estimate that at least 500 million self identified small businesses use Meta’s Family of Apps to reach customers and generate revenue”. She called it “a significant opportunity to extend Muse to small businesses”, as covered in Meta Sees Muse Opportunity in 500 Million Small Businesses.
On the consumer side, more than 10 million people activated Muse agents in their first six weeks, AMD’s Lisa Su said on 3 November (our piece). Meta added spaces, custom mini apps, on 6 November (our piece), and The Times reported on 8 November that a UK launch is being readied, with Muse past 11 million users (our piece).
Connecting the Coverage
Meta has also been shifting its own engineers toward its in-house tools. Internal users of Anthropic’s Claude Code at Meta fell from about 60,000 to around 30,000 as Meta pushed MetaCode and Muse Code, according to The Information’s earlier report as summarised by StockTwits, covered in Microsoft Cut Some AI Caps 90%; Meta Claude Code Users Halve.
The report adds two channels to Meta’s AI business on top of its own apps: a direct sales team for smaller customers and consulting and integration partners for large ones, according to The Information’s summary and the @StockMKTNewz post citing it.
The Structural Read
As we read the report, Meta’s enterpriseplan now has three routes to a business customer: its own apps, which Susan Li says at least 500 million self-identified small businesses use, a direct sales team, and integrators for large companies.
Meta finance chief Susan Li, Q3 2026 earnings call, 21 October 2026
“a significant opportunity to extend Muse to small businesses”
Three Implications
FOR SMALL AND MIDSIZE BUSINESSES The Information reports the new sales organization is aimed at them; Li put the number of self-identified small businesses using Meta’s apps at at least 500 million.
FOR CONSULTING FIRMS Accenture, Deloitte and IBM are named in The Information’s summary as firms Meta is forging relationships with; no terms were readable.
The framework says: “The value proposition shifts from features to integration depth.” It adds: “The product is the interconnection.”
As we read it, consulting firms and systems integrators are the parties that do the integration work inside large companies, which is where the reported Accenture, Deloitte and IBM relationships would sit.
What Is Not Established
We could read only The Information’s headline and summary. The size of the sales team, its start date, its leader, the terms of the consulting partnerships and which Meta products they cover are not in the text we read. Accenture, Deloitte and IBM have not commented in anything we have seen. Meta has still not disclosed revenue, customers or pricing for its enterprisebusiness.
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Meta is forming a sales organization for small and midsize businesses and lining up Accenture, Deloitte and IBM to help reach big companies, The Information reported, 42 days after the Meta Enterprise Platform launch by our arithmetic.
A note on sourcing. This piece rests on the readable headline and summary of The Information’s 9 November 2026 exclusive and an X post citing it; the full article is paywalled. Earlier dates and figures come from our own coverage, linked in the text. The 42 days are our arithmetic.
Gennaro Cuofano is a CRO and tech executive who has worked in AI since late 2015, starting with bringing NLP, natural-language generation, voice and chatbot products to the marketing industry. His background is in law and finance: he holds a Master's degree in Law and an International MBA with an emphasis on corporate finance (LUISS Business School and the University of San Diego, 2012), and worked as a financial analyst at a real-estate investment firm in San Diego and as an assistant controller. His work focuses on business model strategy, business engineering and, more broadly, structural analysis: how companies make money, read from their own filings. He created FourWeekMBA and leads research there and at The Business Engineer, his newsletter on AI and business strategy, with over 95,000 subscribers and more than 1,000 published analyses. His writing has also appeared on Entrepreneur (for example, How to Digitize a Family Business in Europe) and HackerNoon. Find him on LinkedIn and Substack. See how we source.
