NewRocket and Anthropic Partner to Help Businesses Put AI to Work

Photo By: Max Bender

Businesses are entering a new stage of artificial intelligence adoption. After years of testing and experimenting with AI, companies are now looking for practical ways to use the technology to improve everyday operations and deliver measurable business results.

A new partnership between NewRocket and Anthropic aims to help businesses make that transition by putting Claude, Anthropic’s AI assistant, to work across key business functions. The partnership will focus on helping organizations improve workflows, reduce operating costs and support revenue growth through the use of AI.

The collaboration comes at a time when many companies are looking beyond AI pilots and proof-of-concept projects. Business leaders are increasingly focused on finding practical applications that can become part of everyday work.

“I am so excited about NewRocket’s partnership with Anthropic to bring intelligence to enterprise workflows and agentify business processes to drive significant value for our clients. The demand we are seeing right now is incredible,” says Jason Rosenfeld, Chief Growth and Alliances Officer at NewRocket.

Rosenfeld’s comments highlight the growing interest among enterprises in moving AI from the experimental stage into business operations. Companies are no longer simply asking what AI can do. They are looking at where it can make a meaningful difference.

Moving Beyond AI Experiments

Many organizations have spent the past several years exploring generative AI. They have tested chatbots, created internal assistants and experimented with tools that can generate text, analyze information and automate routine tasks.

Those early projects have helped businesses understand the potential of AI. The next challenge is putting that technology into larger, more important workflows.

NewRocket and Anthropic are looking to help organizations take that step with Claude. The partnership can help businesses identify areas where AI can support employees and improve existing processes.

Rather than treating AI as a separate technology, companies can look at how it fits into the work employees already perform. AI can become part of a workflow instead of another application that employees have to learn and manage.

This approach could help organizations save time, reduce repetitive work and allow employees to focus on tasks that require greater judgment and creativity.

AI Across the Business

The potential applications extend across many areas of an organization.

Customer service teams could use Claude to help employees find information, respond to customer questions and manage routine interactions. AI assistance could also help employees handle large amounts of information more quickly, giving them more time to focus on complex customer needs.

Sales teams could use Claude throughout the sales process. AI could assist with customer research, content creation, meeting preparation and other repetitive activities. These capabilities could give sales professionals more time to build relationships and focus on opportunities that can generate revenue.

Finance teams represent another area where AI could provide support. Employees often spend significant amounts of time reviewing documents, gathering information and completing routine analysis. Claude could assist with these activities and help teams work through information more efficiently.

Human resources teams could also benefit from AI-powered workflows. Claude could help answer common employee questions, organize information and support administrative processes. These applications could reduce the amount of time HR professionals spend on repetitive requests.

Operations teams can explore similar opportunities. AI can assist with routine processes, information management and other tasks that require employees to work across multiple systems or large amounts of data.

The goal is not simply to introduce AI across an organization. The goal is to identify where AI can solve real business problems.

A Focus on Business Results

Companies investing in AI are increasingly focused on outcomes. Business leaders want to understand how an AI investment will affect productivity, costs, customer experiences and revenue.

Reducing repetitive work can help lower operating expenses and improve employee productivity. Faster access to information can help employees make decisions more quickly. Better support for customer-facing teams can also contribute to stronger customer experiences.

Revenue growth is another important part of the conversation. AI can help sales and customer service teams spend more time on activities that directly affect customers and business opportunities.

These benefits will depend on how organizations implement AI. Simply providing employees with access to an AI assistant may not be enough. Businesses need to connect AI to the workflows, systems and processes where it can have the greatest impact.

The Next Phase of Enterprise AI

The NewRocket and Anthropic partnership reflects a larger shift in the enterprise AI market. The early stage of generative AI was largely focused on experimentation and discovery. Companies wanted to understand the technology and determine how it might fit into their businesses.

That conversation is changing.

Organizations are now looking for ways to move AI into production and make it part of everyday operations. This requires more than choosing an AI model. Businesses also need to understand their workflows, identify opportunities for automation and determine how AI can work alongside employees.

NewRocket and Anthropic aim to support that transition by helping enterprises bring Claude into business processes across customer service, sales, finance, HR and operations.

The partnership also points to the growing role of AI agents in enterprise technology. Instead of simply responding to individual prompts, AI systems can increasingly support multi-step business processes and assist employees with completing work.

That shift could change how companies think about automation. Rather than automating one task at a time, organizations can begin looking at entire workflows and identifying where AI can provide support from beginning to end.

Enterprise AI is moving into a phase where results will matter more than experimentation. Companies will need to show that their investments can improve efficiency, reduce costs, support employees and contribute to growth.

NewRocket and Anthropic are positioning their partnership around that opportunity. By bringing Claude into the workflows that businesses rely on every day, the companies aim to help enterprises turn AI from an emerging technology into a practical business tool.