AiThority Interview with Kevin Chung, Chief Strategy Officer at Writer

Kevin Chung, Chief Strategy Officer at Writer chats more about the future of business and how AI agents will complement every key function in this catch-up with AiThority.com:

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Hi Kevin, excited to hear from you today, tell us more about being at Writer and what a day at work for a Chief Strategy Officer looks like…

Hi there, and thank you for the opportunity to connect.

Writer is the end-to-end platform for orchestrating agent-powered work across the enterprise. Our platform enables business and IT teams to build, activate, and supervise AI agents that are grounded in their company’s proprietary data and powered by our in-house, enterprise-grade LLMs. We’re working with industry leaders like Accenture, Intuit, Uber, Vanguard, and hundreds more to rapidly transform mission-critical workflows, from accelerating product development to deeper financial research and better clinical trials.

In my role, I’m focused on delivering on our vision to transform work by leading highly strategic initiatives, whether that’s helping evangelize AI at industry events, meeting our enterprise execs and advocates, launching to new geographic markets, securing a deep collaboration with key partners, or assembling the right teams to be part of our next fundraising efforts. On a day to day basis, I focus on helping customers deploy AI faster, scale agents more effectively, and deepen integration across their existing systems through a growing partner ecosystem. The goal is to meet our customers where they already work, making agents a seamless extension of the enterprise workforce. I also work closely with our incredible co-founders, our CEO May Habib and CTO Waseem Alshikh, to define and evolve our long-term strategy in this rapidly changing landscape.

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All of this requires listening to our customers, evaluating market signals, building high-impact alliances, and helping ensure that everything we do – from product to GTM to partnerships – ladders up to a clear and differentiated strategy. No two days – or even two hours – are the same here, and that’s what I love most about working at Writer.

We’d love to hear the top benefits of AI HQ

Absolutely. Let me start with a quick overview. Over the past five years, we’ve worked side-by-side with some of the world’s biggest companies, like Salesforce, Prudential, and Kenvue, giving us firsthand insight into what it truly takes to scale AI in complex environments. As our customers began deploying more sophisticated agents that spanned departments, teams and workflows, one thing became clear: you can’t build in isolation.

Real enterprise transformation hinges on tight collaboration between IT and business teams. It’s not either-or – you need both technical depth and domain intelligence to unlock meaningful outcomes. AI HQ is the industry’s first platform that gives enterprises that centralized hub that brings business and IT together to build and scale powerful agents across the enterprise. Some key features include:

• Agent Builder: With Agent builder, you can build dedicated agents for specific tasks or mulit-agent systems for end to end processes – without heavy engineering lift. It has a secure, composable architecture and an intuitive, drag-and-drop interface that dramatically reduces time to value and ongoing maintenance costs.
• AI Command Center: New observability tools give IT teams real-time visibility into every AI agent, so they can monitor activity, detect anomalies, and resolve issues before they escalate. Our central command center streamlines governance and gives IT full control over thousands of AI agents.

For teams that want to hit the ground running, we’ve also made it easy to get started with a library of proven, ready-to-use agents, no building required. With the release of AI HQ, we also introduced a new, personalized platform experience where employees can easily find the most relevant AI agents for their work. Users can now access a library of more than 100 proven, ready-to-use AI agents, each designed by us based on deep collaboration with the Fortune 500. These agents go far beyond simple chat interfaces. They range from lightweight assistants to more sophisticated solutions that can research, analyze, reason, plan, and take action across a wide set of proven use cases. Our agent library includes solutions for industries including finance, healthcare, retail, pharmaceuticals, and more, like our FDA guidance agent, medical record agent, and our company financials research agent.

One of the consistent pieces of feedback we’re heard from enterprises is that deploying AI apps and agents is challenging, unless you are an engineer.  By bringing a platform that democratizes access to creating, deploying, and scaling AI to every single stakeholder in an organization (whether you have a technical background or not), has been a huge unlock for acceleration and adoption — and aligned to organization’s ultimate success in delivering on their AI strategy.

With AI agents now influencing most areas of business: what does the future hold?

We’re on the brink of a fundamentally new way of working. As AI agents take on more of the repetitive, manual, and operational tasks, roles will evolve, freeing people up to focus on the work that truly moves the business forward. We’ll see teams shift from execution to strategy, from process management to creative problem solving. It’s not just about doing the same work faster, it’s about unlocking entirely new levels of efficiency, innovation, and impact.

We’re already seeing this playout every day across our customers. One global CPG brand unlocked 55,000 hours of capacity by streamlining PDP creation across 21 brands.

AI agents won’t replace people. The next era of work is about amplifying human potential. They’re removing the friction and complexity that has slowed us down for decades. The future offers a much, much better way of working.

In what ways should modern employees upskill at a time when there is an AI agent being built to support most business departments and functions?

Upskilling in the age of AI isn’t really about learning to code. It’s about learning to collaborate. The most successful employees will be those who know how to work effectively with AI agents – how to direct their output with prompt engineering, monitor their outputs, and improve their performance over time. It’s less about building the agent yourself, and more about knowing how to manage it, like a new kind of team member.

We’re already seeing non-technical folks, across sales operations, marketing and more, take the lead in deploying agents tailored to their team’s workflows. They’re learning how to map workflows with precision, define where automation can drive impact, and collaborate with engineering to translate those into scalable agent behaviors. That kind of hands-on fluency not only drives adoption, it creates tighter alignment between the technology capabilities and real-world impact.

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What can end users look forward to from Writer’s suite in the near future?

As enterprises prepare for the next wave of AI – multi-agent systems that span teams, workflows, and platforms – there’s a new set of model requirements needed to do this at scale. They need AI that can orchestrate agents, call on dozens of external tools, reason through massive data volumes, and execute workflows autonomously.

Our latest foundation model, Palmyra X5, is the engine for enterprise agents. Its one-million-token window, adaptive reasoning, and industry-leading cost efficiency makes it ideal for building scalable agents.

This model marks a turning point in the models Writer can deliver and the agents our customers can build within our platform. Powered by Palmyra and AI HQ, our customers have the tools to build agents that move with speed and precision. Agents that can reason across entire product catalogs, legal documents, or clinical reports, without losing context. Agents that can handle handoffs between teams, trigger actions across multiple systems, and generate consistent outputs across departments – fast.

Top AI innovators and AI inventions you’d like to talk about here as a highlight before we wrap up.

We’re entering a new era where every team will run hundreds – soon thousands  – of agents across the organization. But the future isn’t just about scaling automation, it’s about enabling smarter, adaptive agents that truly understand the nuances of your business and evolve alongside it.

We believe that the future will be powered by self-evolving models, and we’re planning to bring them into production this year. These models are critical to helping agents not only orchestrate workflows, but also absorb and apply ever-shifting intelligence. Their ability to continuously learn, adapt, and improve means enterprises can drive innovation faster, without massive engineering lift or new models costs whenever they have an update. It’s incredibly exciting what this will unlock – in customer support, they’ll learn from every ticket, improving responses by the hour. In healthcare, they’ll retain and reference critical medical info across sessions, surfacing critical insights right when they’re needed. In finance, they can track live market trends, providing real-time insights that empower bankers and wealth managers to stay ahead.

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