The writer reveals the AI ​​HQ platform betting on agents to transform corporate work

Enterprise AI Company Writer Today, he has revealed a new platform that claims to help businesses finally overcome the difference between the theoretical potential of AI and the results of the real world. The product called “AI HQ“It is a significant shift to autonomous AI systems that can perform complex work processes in organizations.

“This is not another ultra -train, but a large -scale change that comes to corporate software,” says May Habib, CEO of the writer and co -founder at a press conference announcing the product. “The bigger part of the enterprise did not receive significant results from the generative AI and two years have passed. There has never been such a precipice between what technology is capable of and what the results of the enterprise are.”

AI HQ The writer’s response to this problem – a platform for the construction, activation and supervision of AI “agents” that can perform sequences of tasks that traditionally require human intervention. These agents can make decisions, think through problems and take action in various systems with small human supervision.

How Writer’s AI agents go beyond the chats to deliver real business value

The message comes as many businesses reassess their AI strategies. According to Habib, most AI realizations have failed to provide considerable value, with businesses struggling to go beyond the main generative cases of AI use.

“Process mapping is a new quick engineering,” Habib said, emphasizing how the company’s approach has evolved beyond simply making the right prompts for the design of whole work streams for AI systems.

AI HQ consists of three main components: a development environment called Agent builder where IT and business teams jointly create agents; Writer’s homewhich provides access to over 100 pre -constructed agent for specific industries and functions; and tools for monitoring and managing the behavior of the agent on a scale.

During a product demonstration, writers’ leaders showed how customers already use these technologies. In one example, an investment management company uses the writer’s agents to automatically generate fund reports and personalized comments on the market by downloading data from Snowflake., SEC submissionand search in real -time web searches.

Another demonstration showed a marketing workflow in which an agent could analyze a short strategy, create a project at Adobe Workfront, generate content, find or create supporting images and prepare the material for a legal review.

Enterprise AI that actually works: how the writer’s autonomous agents handle complex business work flows

The writer rotating to AI based on agents reflects broader market trends. While many companies have initially focused on the use of large language models for text and chat -generating functions, businesses are increasingly exploring how AI can automate complex processes.

“Ten percent of the number of number will be sufficient”, ” Habib told Forbes In a recent interview with the potential impact of agents’ workforce. This dramatic statement emphasizes transformative potential – and potential interference – these technologies can bring to the work of knowledge.

Let the griefChief Marketing Director of the Cybersecurity Company Commvault And an early adopter of the writer’s agent’s technology spoke during a press conference on the value of the previously stunning systems.

“What if I can connect our Salesforce, Gainsite, Optimizey? What if I can collect enough from the insights in these systems that we could actually work to create experience for our customer who is hassle -free?” said Griffin. Her advice for others: “Think of the most difficult, most group problem your industry has, and start thinking about how the AI ​​agent will solve this.”

The future of AI Learning: The writer’s self -cultivation models remember mistakes and learn without retraining

The event also included a presentation of Waseem alshikhCo -founder of the writer and CTO who presented research on “self -developing patterns” – AI systems that can learn from their mistakes in time without further training.

“If we expect AI to behave more recently as a person, we need to learn more as a person,” Alsich explained. He demonstrates how traditional AI models repeatedly make the same mistakes when faced with a maze challenge, while self-improvement models remember past failures and find better solutions.

“This unique architecture means that over time, as the model is used, it acquires knowledge – a model that becomes more inherent, the more you deal with it,” Alsich said. The writer expects to have self -developing models in the pilot by the end of the year.

Inside the writer’s estimation for $ 1.9 billion: how the AI ​​perception of an enterprise leads to an explosive growth

The aggressive enlargement of the writer comes after raising $ 200 million in series C Funding last November, which estimated the company at $ 1.9 billion. The funding circle was guided by Invest Rewards., Radical endeavorsand Iconic growthwith participation from large players, including Salesforce Ventures., Adobe Venturesand IBM VenturesS

The company witnesses impressive growth, with the reported 160% net detention rates, which means that customers usually extend their contracts on average by 60% after initial acceptance. According to a Forbes report Posted today, some customers have increased from initial contracts from $ 200,000 to $ 300,000 to spend approximately $ 1 million each.

The writer’s approach is different from competitors as OPENAI and Anthropwho have collected billions but focus more on the development of general -purpose AI models. Instead, the writer has developed his own models – called Palmyra– more specially designed for cases of use of enterprises.

“We have trained our own models, although everyone advised this,” Alsich told Forbes. This strategy allowed the writer to create AI, which is more secure for the implementation of businesses, as client data are extracted from specialized servers and are not used to train models, mitigating concerns about sensitive leaks of information.

Enterprise’s AI Navigation of $ 114 Billion: Opportunities and Obstacles Forward

The writer’s ambitions face obstacles in a racing landscape. Enterprise AI Software Market – It is envisaged to grow from $ 58 billion to $ 114 billion by 2027 -Inifies intense competition from established technology giants and well -funded startups.

Paul Diril, Vice President of the General AI in Marriott, who appeared at the writer’s press conference, shared advice on businesses, navigating in this fast-paced area: “Focus on fewer options with higher value rather than pursuing every opportunity.”

The message also comes against the background of growing concerns about AI impact on jobs. While Habib admitted that AI would drastically change the work, she draws an optimistic picture of the transition.

“Your people play an important role in redesigning your processes to be AE-native and shaping what the future of work looks like,” she said. “We think that very soon, on a horizon of five to 10 years, we will not work as much as we will build AI that does the job. This will create new exciting roles, new jobs related to AI that are interesting and rewarding.”

From Software Provider to Innovative Partner: View the Writer for Ae-Rodom from the transformation of the enterprise

As the writer is positioned in the foreground of Enterprise Ai, Habib stressed that the company sees itself as more than a simple software provider.

“We are not a software provider here. We see ourselves as more than that. We are your innovation partners,” she said. “If you want to restore your company to be a native, if you want to be part of the most important transformation of the enterprise, maybe you ever go register to be with the writer Beta right now. Together we can dream of big and build fast.”

Thehe Agent builder and the observability tools are currently in beta beta, with the total availability expected later this spring, while the Writing House and the Library of ready -to -use agents are available to all customers today.