Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More<\/em><\/p>\n\n\n\n Enterprise AI company Writer unveiled a new platform today that it claims will help businesses finally bridge the gap between AI\u2019s theoretical potential and real-world results. The product, called \u201cAI HQ,\u201d represents a significant shift toward autonomous AI systems that can execute complex workflows across organizations.<\/p>\n\n\n\n \u201cThis is not another hype train, but a massive change coming to enterprise software,\u201d said May Habib, Writer\u2019s CEO and co-founder, at a press conference announcing the product. \u201cThe vast majority of the enterprise has not gotten meaningful results from generative AI, and it\u2019s been two years. There has never before been such a gap between what the tech is capable of and what the enterprise results have been.\u201d<\/p>\n\n\n\n AI HQ is Writer\u2019s answer to this problem\u2014a platform for building, activating, and supervising AI \u201cagents\u201d that can perform sequences of tasks traditionally requiring human intervention. These agents can make decisions, reason through problems, and take actions across different systems with little human oversight.<\/p>\n\n\n\n The announcement comes as many enterprises reevaluate their AI strategies. According to Habib, most AI implementations have failed to deliver substantial value, with businesses struggling to move beyond basic generative AI use cases.<\/p>\n\n\n\n \u201cProcess mapping is the new prompt engineering,\u201d Habib said, highlighting how the company\u2019s approach has evolved beyond simply crafting the right text prompts to designing entire workflows for AI systems.<\/p>\n\n\n\n AI HQ consists of three main components: a development environment called Agent Builder where IT and business teams collaboratively create agents; Writer Home, which provides access to over 100 pre-built agents for specific industries and functions; and observability tools for monitoring and governing agent behavior at scale.<\/p>\n\n\n\n During a product demonstration, Writer executives showed how customers are already using these technologies. In one example, an investment management firm uses Writer\u2019s agents to automatically generate fund reports and personalized market commentary by pulling data from Snowflake, SEC filings, and real-time web searches.<\/p>\n\n\n\n Another demonstration showed a marketing workflow where an agent could analyze a strategy brief, create a project in Adobe Workfront, generate content, find or create supporting images, and prepare the material for legal review.<\/p>\n\n\n\n Writer\u2019s pivot to agent-based AI reflects broader market trends. While many companies initially focused on using large language models for text generation and chat functions, businesses are increasingly exploring how AI can automate complex processes.<\/p>\n\n\n\n \u201cTen percent of the headcount is going to be enough,\u201d Habib told Forbes in a recent interview about the potential workforce impact of agent technologies. This dramatic assertion underscores the transformative potential\u2014and potential disruption\u2014these technologies may bring to knowledge work.<\/p>\n\n\n\n Anna Griffin, Chief Marketing Officer at cybersecurity firm Commvault and an early adopter of Writer\u2019s agent technology, spoke during the press conference about the value of connecting previously siloed systems.<\/p>\n\n\n\n \u201cWhat if I could connect our Salesforce, Gainsite, Optimizely? What if I could pull together enough of the insights across these systems that we could actually work to create an experience for our customer that is seamless?\u201d Griffin said. Her advice for others: \u201cThink about the hardest, gnarliest problem your industry has, and start thinking about how agentic AI is going to solve that.\u201d<\/p>\n\n\n\n The event also featured a presentation from Waseem AlShikh, Writer\u2019s co-founder and CTO, who unveiled research into \u201cself-evolving models\u201d \u2014 AI systems that can learn from their mistakes over time without additional training.<\/p>\n\n\n\n \u201cIf we expect AI to behave more like a human, we need it to learn more like a human,\u201d AlShikh explained. He demonstrated how traditional AI models repeatedly make the same errors when faced with a maze challenge, while self-evolving models remember past failures and find better solutions.<\/p>\n\n\n\n \u201cThis unique architecture means that over time, as the model is used, it gains knowledge \u2014 a model that gets smarter the more you engage with it,\u201d AlShikh said. Writer expects to have self-evolving models in pilot by the end of the year.<\/p>\n\n\n\n Writer\u2019s aggressive expansion comes after raising $200 million in Series C funding last November, which valued the company at $1.9 billion. The funding round was co-led by Premji Invest, Radical Ventures, and ICONIQ Growth, with participation from major enterprise players including Salesforce Ventures, Adobe Ventures, and IBM Ventures.<\/p>\n\n\n\n The company has witnessed impressive growth, with a reported 160% net retention rate, meaning customers typically expand their contracts by 60% on average after initial adoption. According to a Forbes report published today, some clients have grown from initial contracts of $200,000-$300,000 to spending approximately $1 million each.<\/p>\n\n\n\n Writer\u2019s approach differs from competitors like OpenAI and Anthropic, which have raised billions but focus more on developing general-purpose AI models. Instead, Writer has developed its own models \u2014 named Palmyra\u2014specifically designed for enterprise use cases.<\/p>\n\n\n\n \u201cWe trained our own models even though everyone advised against it,\u201d AlShikh told Forbes. This strategy has allowed Writer to create AI that\u2019s more secure for enterprise deployment, as client data is retrieved from dedicated servers and isn\u2019t used to train models, mitigating concerns about sensitive information leaks.<\/p>\n\n\n\n Writer\u2019s ambitions face obstacles in a competitive landscape. The enterprise AI software market \u2014 projected to grow from $58 billion to $114 billion by 2027 \u2014 is attracting intense competition from established tech giants and well-funded startups alike.<\/p>\n\n\n\n Paul Dyrwal, VP of Generative AI at Marriott who appeared at Writer\u2019s press conference, shared advice for enterprises navigating this rapidly evolving field: \u201cFocus on fewer, higher-value opportunities rather than chasing every possibility.\u201d<\/p>\n\n\n\n The announcement also comes amid growing concerns about AI\u2019s impact on jobs. While Habib acknowledged that AI will change work dramatically, she painted an optimistic picture of the transition.<\/p>\n\n\n\n \u201cYour people are instrumental to redesigning your processes to be AI-native and shaping what the future of work looks like,\u201d she said. \u201cWe think that very soon, on a horizon of five to 10 years, we won\u2019t be doing work as much as we will be building AI that does the work. This will create exciting new roles, new AI-related jobs that are interesting and rewarding.\u201d<\/p>\n\n\n\n As Writer positions itself at the forefront of enterprise AI, Habib emphasized that the company sees itself as more than just a software vendor.<\/p>\n\n\n\n \u201cWe\u2019re not a software vendor here. We see ourselves as more than that. We\u2019re your innovation partners,\u201d she said. \u201cIf you want to rebuild your company to be AI-native, if you want to be part of the most important enterprise transformation maybe ever, go sign up to be in the Writer agent beta right now. Together, we can dream big and build fast.\u201d<\/p>\n\n\n\n The Agent Builder and observability tools are currently in beta, with general availability expected later this spring, while the Writer Home and library of ready-to-use agents are available to all customers starting today.<\/p>\n Daily insights on business use cases with VB Daily<\/strong><\/p>\n If you want to impress your boss, VB Daily has you covered. We give you the inside scoop on what companies are doing with generative AI, from regulatory shifts to practical deployments, so you can share insights for maximum ROI.<\/p>\n \n\t\t\t\t\tThanks for subscribing. Check out more VB newsletters here.\n\t\t\t\t<\/p>\n An error occured.<\/p>\n<\/p><\/div>\n
\n<\/div>How Writer\u2019s AI agents move beyond chatbots to deliver real business value<\/h2>\n\n\n\n
Enterprise AI that actually works: How Writer\u2019s autonomous agents tackle complex business workflows<\/h2>\n\n\n\n
The future of AI learning: Writer\u2019s self-evolving models remember mistakes and learn without retraining<\/h2>\n\n\n\n
Inside Writer\u2019s $1.9 billion valuation: How enterprise AI adoption is driving explosive growth<\/h2>\n\n\n\n
Navigating the $114 billion enterprise AI market: Opportunities and obstacles ahead<\/h2>\n\n\n\n
From software vendor to innovation partner: Writer\u2019s vision for AI-native enterprise transformation<\/h2>\n\n\n\n
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