Key Takeaways
- Mosaic AI launched an enterprise AI platform, built by AI PhDs, that connects fragmented data across hundreds of tools and reduces operational costs by up to 30% as an alternative to Agentforce for B2B support teams.
- Customers see proof of value in a five-day pilot, with AssetWorks cutting the cost to resolve support cases by 39% and Point of Rental reducing resolution time by 44%.
Mosaic AI is offering an alternative to Agentforce for B2B enterprises looking to reduce operational costs, resolve customer issues faster, and turn customer data into measurable business outcomes.
The launch marks the company’s shift from Ask-AI, an enterprise AI assistant, to a platform built for B2B organizations where support teams manage large product portfolios, fragmented systems and technical customer needs. As AI accelerates product development cycles, the challenges for support teams to keep pace with the volume of new products and features is growing, creating demand for purpose-built AI infrastructure.
Built by AI PhDs, Mosaic’s enterprise AI platform connects data from hundreds of fragmented tools, enriches it with the unique context of a company’s products, customers, people, and processes, and powers a suite of ready-made agentic AI products that deploy in weeks and reduce operational costs by up to 30 percent.
How Is Mosaic AI Built for B2B Support Complexity?
Mosaic has tripled revenue and average annual contract value over the past year and signed nearly $1 million in new ARR this year, including multiple six-figure enterprise deals. Customers typically see proof of value in a five-day pilot and deploy across a support organization, with implementation handled by Mosaic, according to Alon Talmor, founder and CEO of Mosaic AI.
“Existing AI tools struggle to handle the complexity that comes with supporting B2B enterprises,” said Talmor in a statement. “They lack the product, customer and organizational context to deliver the right information to customers and the internal teams that support them.”
Built for B2B Complexity
Most enterprise AI tools are built for simple service requests, repeatable questions, and single-product contexts. Enterprise B2B companies operate differently. Mosaic starts in Customer Support where case volume, backlog, and cost-to-serve are easiest to measure, then extends into Customer Success and Sales.
Built on deep product, customer, and team context, the platform deflects cases, surfaces answers and account history, and recommends next steps for agents, while continuously identifying knowledge gaps and flagging customer or product risks before they escalate.
What Results Are Mosaic AI Customers Seeing?
Mosaic customers are seeing measurable results in as littler as three weeks, helping complex support teams reduce costs, improve resolution times and maintain custom experience as case volume grows. AssetWorks reduced the cost to resolve a support case by 39% within 90 days. Point of Rental reduced case resolution time by 44%, reached 92% CSAT and reinvested their savings into customer experience.
“We scaled our Mosaic deployment from production pilot to full adoption across multiple business units in under 10 weeks,” said Greg Richards, President and GM of AssetWorks. “The team achieved a 39% reduction in the cost to resolve a support case in the first 90 days.”
“As AI enables developers to ship much faster, that gap is only getting wider. Mosaic was built for these complex, multi-product environments,” said Talmor
