WRITER’s bold script for an AI-native enterprise future

In ten years’ time there will be two types of companies: AI-first companies and dead companies. May Habib, CEO and Co-founder of WRITER predicts a future in which generative AI has disrupted “the whole idea of software,” and envisions an enterprise landscape where “the processes that we supervise as humans, that we orchestrate at work, will be supported by a hierarchy of tools and user interfaces of increasing flexibility and ephemerality.” This new landscape of AI tools will shorten the distance between conception and reality and expand what people and businesses believe is possible.

WRITER is one such AI-first company, offering an end-to-end platform that helps enterprises build, launch, and supervise their own AI agents. In providing an accessible, ready-to-use toolset, it’s democratizing agentic AI and enabling its customers to work more efficiently, productively, and creatively. In doing so, WRITER is helping businesses to become AI-first success stories.

WRITER partnered with AWS, training and deploying the models that underpin its platform using solutions such as Amazon SageMaker HyperPod and Amazon Bedrock. The company’s ability to offer serverless models in Amazon Bedrock and the decision to run its infrastructure on AWS “is a big part of why we can sell and punch way above our weight,” says Habib. Since the partnership began in 2024, WRITER has scaled its business from a startup to a major player serving market-leading names. “Because of our relationship with AWS,” says Habib, “we've been able to really go to market and surround some of the biggest companies in the Fortune 500 with an end-to-end enterprise offering for generative AI.”

The nirvana of generative AI

WRITER was founded in 2020 and today, says Habib, “we are the only AI research lab that is solely focused on building models for enterprise use, because enterprise needs are different.” This laser focus on its customers shaped WRITER’s platform, resulting in a solution that is helping teams integrate generative AI by overcoming challenges specific to their business, workforce, and customers. As with the consumer market, “enterprise needs tooling that is exceptionally easy for the business user.” However, these tools must also scale to support the building, activation, and supervision of AI agents across a company to drive ROI and value.

Legacy systems weren’t delivering. “Much of problem-solving at work in the enterprise meant either buying big systems of record or building custom software,” says Habib. “Both routes are incredibly expensive, time consuming, and kludgy, and resulted in workflows that were really built around those systems as they were built.” WRITER offers a new approach, bringing a solution to enterprise “that really unites IT and the business.” With click-and-point interfaces and easy-to-use tools, the platform enables “business users who aren’t that technical” to supervise and utilize AI agents at scale.

The platform also utilizes a family of large language models that “really understands instruction without needing to write a Russian novel for every process.” This means users across departments—from sales and support to marketing, operations, product, and more—can enable agentic workflows without coding expertise and technical know-how.

WRITER is transforming problem-solving and operations for its customers, with benefits for users and business. This results in “an incredible explosion of creativity at work as folks really personalize their experiences with the tools that support their roles.” Its customers are seeing “tremendous success” in other areas too, continues Habib. “A recent Forrester study showed a 333 percent return on total cost of ownership. It’s exceptional to see that, across our entire customer base, at a time when so many enterprises are struggling to see a return on investing in the AI co-pilots out there.”

Democratizing AI with AWS

WRITER has been able to level the playing field for generative AI access in the enterprise space because of its own ability to access the technology in the early stages of its startup journey. “People ask us all the time how we're able to train state-of-the-art models on a budget relative to the hyperscalers,” says Habib. The answer? Training its family of Palmyra models on Amazon SageMaker HyperPod. The solution enables users to scale and accelerate generative AI model development across thousands of AI accelerators. This approach has eased and accelerated the prototype to production process for WRITER, and resulted in a 90 percent reduction in pipeline failure and 3x increase in iteration timelines.

In addition to the underlying tools and infrastructure, the nature of WRITER’s partnership with AWS has also enabled it to build trust with its customers and gain a greater market share. “If it wasn't for AWS and AWS leaders, it would be much harder for us to have the kinds of conversations we have with the enterprise CIOs,” says Habib. Furthermore, “the engineering and go-to-market leaders at AWS are a big part of why our product leads and customers have so much confidence in our ability to continue to be enterprise grade, as we’re bringing more and more foundational capabilities to their workplaces.”

‘Bringing more’ includes a recent launch from WRITER: Palmyra X5. The large language model, available in Amazon Bedrock, can handle large volumes of text—over 4,000 pages—at the same time, something traditional AI models struggle with. In summary, says Habib, “it’s faster, cheaper, more efficient, longer context, one million token context window, wicked fast. Honestly, it's insane.”

Grounded in “real world enterprise needs” the solution automates and enhances critical enterprise operations, such as pulling in real-time data across a range of databases and systems, summarizing reports, analyzing large volumes of information, and powering complex content workflows.

The technology of yes

WRITER operates on “the technology of yes” concludes Habib: “Can agentic AI do X? Yes. Can agentic AI do Y? Yes.” The company’s partnership with AWS and the solutions it’s subsequently created are allowing enterprises to realize ideas easily and cost-effectively. At the same time, WRITER is preserving the human creativity and collaboration that are essential to enterprise operations and workplace culture. “One thing we like to say,” says May, “is that the secret ingredient to AI transformation in the enterprise is people.”

WRITER’s enterprise-grade technology, in combination with the consultative approach it has with its customers, has driven its growth, and today the company counts “hundreds of powerhouses from the Global 2000” amongst its customers. Minimizing costs and technical effort, WRITER is unlocking “limitless” possibilities for enterprise users as a result of this approach and “because of the way that we train and deploy our models. And that is in large part because of AWS.” With the partnership —and WRITER’s business —continuing to grow, we’ll likely see a great deal more AI-first companies alive, and thriving, in the next decade and beyond.