How WRITER is building for the era of AI-native enterprise

Agentic AI is now part of the modern workday. Nearly 9 in 10 organizations use AI in at least one business function, according to McKinsey (even when 69% of professionals are worried about what their colleagues think).

But enterprise adoption is largely being driven by individuals using point solutions. A writing assistant, a notetaker, a chatbot, a coding Agent. Each makes the isolated task more efficient, or slightly faster, but doesn’t easily scale.

WRITER was built to solve this. Rather than “sprinkling AI as a chatbot,” says cofounder and CEO May Habib, WRITER built an end-to-end platform for orchestrating complex, cross-system work. Business users closest to the work can design and scale AI Agents that run entire workflows, transforming AI from a narrow, top-down initiative into a scalable, organization-wide capability. 

Today, hundreds of leading enterprises, like Prudential, Uber, Vanguard, and more, use WRITER to deploy AI Agents that solve their toughest business challenges and deliver ROI.

Rewriting enterprise work

WRITER’s name reflects where the company began.

The company started life as Qordoba, a machine translation and localization platform founded by Habib and CTO Waseem Alshikh. As Habib told Insight Partners Managing Director Whit Bouck in 2024, “It was very clear even in those early days that AI was going to be better than people at reading and writing, and certainly faster.”

That conviction led the founders to pivot and launch the company as WRITER in 2020, focusing initally on AI-powered writing. But the technology was advancing quickly. “[Transformers] were pretty good at editing stuff, writing stuff — but what has happened in the last few years is that natural language is now our programming language,” says Habib.

Read how May Habib is challenging a $13 billion incumbent with Writer.

Once language became an interface, rather than just an output, Habib and Alshikh realized that AI could reshape the entire architecture of enterprise work. If people could describe what they need in plain English, then AI could actually do the work for them. WRITER quickly went from writing assistant to an end-to-end AI platform. “We have been a full-stack platform from day one,” says Habib. “That means from the large language model layer to the application layer, we have been a composable platform for the enterprise.”

WRITER is now transforming mission-critical workflows across marketing, retail, financial services, and healthcare, and more  — moving beyond simple “assistance” to execute multi-step processes and coordinate work across siloed systems. 

As Habib puts it, “We are an enterprise platform for AI-powered work.”

AI-native from day one

“In late 2025, when we’re speaking, nearly everyone sounds the same,” says Habib. “I think now everyone is full-stack in AI,” which has made buying harder. Enterprises are pitched endless variations of “full-stack, generative AI platforms,” so “the burden for differentiation…is so, so high.”

WRITER’s answer was to move the conversation. Over the past year, Habib says the company has focused on showing business leads why they need a platform “dedicated to agentic-native operations.” Not AI bolted onto existing workflows, but systems designed to run work in an AI-first way. “You are redefining what is possible and really wiping the slate clean to build something that’s agentic from day one, that’s AI-native from day one, and we’re the platform that powers that.”

But the company’s real edge, says Habib, is its adaptability. As LLMs quickly change what they can do, so does Writer, rapidly integrating new capabilities with governance, composability, and control. “Every layer of that stack needs to be rebuilt in near-real time…the urgency of the rebuild is our superpower as a company.”

“We are very comfortable throwing something away and rebuilding it for the technology that exists as of today.”

Over 2025, Writer has “rebuilt every surface area…to be agentic AI-first,” says Habib, moving beyond the earlier, more prompt-heavy workflows into one intelligent interface.

This approach has enabled Writer’s ability to repeatedly ship capabilities months ahead of competitors. “We launched our Agent builder in April [2025]. OpenAI launched it yesterday,” she says. “That’s months of progress that…the rest of the market is only now catching up to.”

Enterprise memory

Habib believes the next era is about autonomous systems that can understand an organization as deeply as its people do, and act with the same context.

“If you take a step back, what we’re all doing right now is taking everything the organization knows and everything that’s in people’s heads about how we do things, and we’re encoding that into AI,” she says. “Our Agents are also creating intelligence [and] insight, and how you capture that [to] go to the next level as an autonomous enterprise is very exciting.”

Habib says WRITER is thinking of this as an  “enterprise brain” — a layer that sits underneath the work, quietly capturing not just activity, but intent, surfacing the connections that usually stay invisible, and turning all of that into institutional memory an agent can use.

This focus shapes WRTIER’s research roadmap. The company is “not just scaling and seeing what emergent properties come out of the models and productizing that,” but homing in on the next level of tasks that enterprise needs LLMs to get good at and asking the right questions to anticipate them. “What if we could…put a database in an LLM? Or have an LLM be a system of record? Or have an LLM prompt a human to fill in gaps where it needs more information?” Each question shapes what WRITER ships next.

Unlocking execution abundance is AI’s biggest opportunity

But Habib believes the biggest barrier ahead is not technological but organizational. Enterprises need to rethink how work is structured, where decisions live, and how much human intervention they really require.

“What isn’t being talked about enough is how humans are also the barrier to scale,” she says. “Customers are defaulting to the largest number of humans who can be in the loop, and it just creates a lot of redundancy.”

In her view, the companies that win the next decade will be those willing to rebuild their operating models around agentic AI, collapsing the gap between idea and execution. “The biggest opportunity for AI…is to make execution abundant,” she says. “We are already seeing…the time to execution, from ideation to out in the market, really collapsing because of AI.”

For the whole broad swath of human history, argues Habib, we have built organizations to overcome the high cost of getting things done with humans. AI changes that equation. “That execution capacity can now be made abundant, and that’s hugely powerful for society. Think about all of the companies’ missions, NGOs’ missions, and health systems’ missions that can all be now achieved much faster and with fewer resources.”

“It only takes a few early adopters”

That requires a mindset shift. “Most of us still think very analog and don’t think about how we can maximize our output through leverage,” says Habib. “But I think we’re already seeing folks’ thinking change on this, and it only takes a few early adopters in an organization to really start switching the thinking.”

Habib believes there is an opportunity now to construct an enterprise that is radically simple in its approach to doing business. And the organizations that do will “attract the best employees…build and ship the best product experiences, best customer experiences, and ultimately win their category.”

WRITER is there to help them do it.

*Note: Insight Partners has invested in WRITER. This article is part of our ScaleUp:AI 2025 Partner Series, highlighting insights from the companies and leaders shaping the future of AI.