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Enterprise AI Company Writer Today has unveiled a new platform that claims that companies will finally bridge the gap between the theoretical potential of AI and Real-World results. The product, called “Ai hq”Represents an important shift to autonomous AI systems that can perform complex workflows between organizations.
“This is not another hype train, but a huge change that comes to business software,” said May Habib, CEO and co-founder of the writer, during a press conference announcing the product. “The vast majority of the company have not received meaningful results from generative AI, and it is two years ago. There has never been such a gap between what the technology has been capable of and what the business results have been.”
Ai hq Is the writer’s answer to this problem – a platform for building, activating and supervising AI “agents” who can perform series of tasks that require traditional human intervention. These agents can make decisions, reasons due to problems and actions in different systems with little human supervision.
How the AI agents of the writer go beyond chatbots to deliver real business value
The announcement is because many companies re -evaluate their AI strategies. According to Habib, most AI implementations have not delivered any substantial value, whereby companies are struggling to go beyond generative AI uses.
“Process mapping is the new prompt engineering,” Habib said, and emphasized how the approach to the company has evolved than just making the right text prompts for designing entire workflows for AI systems.
Ai hq Consists of three main components: a development environment called Agent builder Where the and business teams create agents together; WriterThis offers access to more than 100 pre -built agents for specific industries and functions; And perceptibility instruments for monitoring and regulating agent on a scale.
During a product demonstration, writer’s managers showed how customers already use these technologies. In one example, an investment management company uses the agents of Schrijver to automatically generate fund reports and personalized market commentary by extracting data from Snowflake” Sec -archivesAnd real -time web search assignments.
Another demonstration showed a marketing workflow where an agent could analyze a strategy letter, create a project in Adobe Workfront, generate content, find or create supporting images and prepare the material for legal assessment.
Enterprise AI who really works: how the autonomous agents of the writer tackle complex business workflows
Writer’s Pivot to agent-based AI reflects wider market trends. Although many companies initially focused on the use of large language models for generating text and chat functions, companies are increasingly investigating how AI can automate complex processes.
“Ten percent of the workforce is getting enough,” Habib told Forbes In a recent interview about the potential impact of the workforce of agent technologies. This dramatic statement underlines the transforming potential and potential disruption – these technologies can work on knowledge.
Anna GriffinChief Marketing Officer at CyberSecurity Firm Command And an early adoptur from Writer’s Agent Technology, spoke during the press conference about the value of connecting previously Siled Systems.
“What if I could connect our Salesforce, profitable, Optimizely? What if I could bring enough of the insights into these systems that we could actually work to create an experience for our customer that is seamless?” Said Griffin. Her advice for others: “Think about the most difficult, favorable problem that your industry has and start thinking about how Agentic AI will solve that.”
The future of AI learning: the self-inventing models of the writer remember mistakes and learning without retraining
The event also had a presentation of WASHEEM ALSHIKHCo-founder of writer and CTO, who revealed research into “self -evolving models” – AI systems that can learn from their mistakes over time without extra training.
“If we expect AI to behave more like a person, we need to learn more like a human,” Alshikh explained. He demonstrated how traditional AI models repeatedly make the same mistakes when they are confronted with a maze challenge, while self-inventing models remember past errors and find better solutions.
“This unique architecture means that over time, when the model is used, it gets knowledge – a model that gets smarter the more you are doing it,” said Alshikh. Writer expects to have evolving models in pilot by the end of the year.
Inside writer’s $ 1.9 billion appreciation: how enterprise ai -adoption is explosive growth
The aggressive expansion of the writer comes after raising $ 200 million in series C Financing last November, which the company appreciated at $ 1.9 billion. The financing round was partly read by Invest Premji” Stadical companiesAnd Iconiq growthwith the participation of large Enterprise players, including Salesforce Ventures” Adobe VenturesAnd IBM Ventures.
The company has witnessed impressive growth, with a reported net retention of 160%, which means that customers usually expand their contracts on average by 60% after the first adoption. By one Forbes report Published today, some customers have grown from the initial contracts of $ 200,000 $ 300,000 to spend around $ 1 million each.
Writer’s Approach differs from competitors such as Openi And AnthropicThose billions have picked up but have focused more on developing AI models for general purposes. Instead, Writer has developed his own models – called Palmyra – in particular designed for usuals for companies.
“We trained our own models, although everyone has advised against it,” Alshikh told Forbes. This strategy has enabled Writer to make AI that is safer for the implementation of companies, because customer data is collected from special servers and are not used to train models, so that worrying about sensitive information leaks are softened.
Schrijver ambitions are confronted with obstacles in a competitive landscape. The Enterprise AI -Softwaremarkt – Expecting to grow from $ 58 billion to $ 114 billion by 2027 -attracts intense competition from established technical giants and well -funded startups.
Paul Dyrwal, VP of Generative AI at Marriott who appeared at the writer’s press conference, shared advice for companies that navigate this quickly evolving field: “Focus on less, higher value instead of having to pursue any option.”
The announcement also comes in the midst of growing concerns about the impact of AI on jobs. Although Habib acknowledged that AI will change the work dramatically, she painted an optimistic picture of the transition.
“Your people are helpful in re -designing your processes to be a native and to shape what the future of the work looks like,” she said. “We think that, on a horizon of five to 10 years, we are not working as much as we will build as AI who does the work. This will create exciting new roles, new AI-related jobs that are interesting and rewarding.”
From software supplier to innovation partner: the writer’s vision for AI-Native Enterprise Transformation
While the writer positions himself at the forefront of Enterprise AI, Habib emphasized that the company sees itself more than just a software supplier.
“We are not a software supplier here. We see ourselves as more than that. We are your innovation partners,” she said. “If you want to rebuild your company as AI-Native, if you want to be part of the most important Enterprise transformation, you might have to register to now be in the writer-agt-Bèta. Together we can dream and build quickly.”
The Agent builder and the observability tools are currently in beta, with general availability that is expected later this spring, while the writer at home and library of Ready-to-use agents Are available for all customers from today.