Engineering No Longer the Gatekeeper (Image Credits: Unsplash)
Enterprises across industries pushed artificial intelligence into their operations to boost efficiency, but many struggled with implementation barriers. Writer emerged as a solution tailored for large organizations, emphasizing seamless integration and user-friendly design. The platform equips non-technical professionals to deploy AI without constant engineering support, marking a shift toward business-driven innovation.
Engineering No Longer the Gatekeeper
Traditional AI adoption in corporations relied heavily on technical experts, slowing progress and limiting scope. Writer flipped this model by creating a platform where business users take the lead. Its systems linked directly to essential tools from Google, Salesforce, Microsoft, and various databases, with fine-tuned controls over data access for both AI and human operators.
Cofounder and CEO May Habib highlighted this change. “So much of what enterprises are doing with AI is engineering-led,” she said. “And with Writer, we are introducing a business-led paradigm, and that has been incredibly important.” This approach freed white-collar workers to automate routine tasks independently, reducing dependency on IT teams for coding or troubleshooting.
Skills and Playbooks Fuel Custom Automation
At the heart of Writer’s offerings lay “skills,” modular AI capabilities trained for precise functions such as ensuring content met branding and legal standards, classifying data, or running financial reviews. The company supplied over 200 prebuilt skills, many customized for sectors like retail, healthcare, and finance. Businesses also crafted their own to match unique needs.
These skills powered “playbooks,” structured sequences for intricate workflows including content drafting, research compilation, dashboard creation, customer onboarding, and marketing materials. Users built them using prompts, sample outputs, and assets, but recent updates allowed AI to generate or refine them from simple descriptions. “It’s designed to be as simple as possible,” noted Doris Jwo, VP of product at Writer. “So you can start with something as basic as a one-sentence prompt.” Testing features let users iterate with feedback, while real-time logs explained AI actions in clear terms, from plain-language steps to detailed code interactions like SQL queries.
- Content compliance and branding alignment
- Data classification and financial analysis
- Research synthesis and dashboard building
- Customer onboarding sequences
- Marketing slide decks and presentations
Clorox Cuts Task Time by Over 85% with Writer
Clorox deployed Writer to manage thousands of product listings across e-commerce platforms, from cleaning supplies to personal care items like Burt’s Bees and Hidden Valley dressings. Each retailer imposed unique rules on character limits, prohibited terms, and formats, turning updates into a relentless chore. Writer’s skills encoded these rules, while playbooks generated compliant listings automatically.
Humans reviewed outputs, with AI flagging issues for efficiency. Matt Harker, VP for consumer experience transformation at Clorox, reported dramatic results. “It’s north of 85% savings in terms of time and tasks that go away,” he said. This freed teams to enhance copy and visuals for seasonal campaigns. When platforms updated requirements, skills adapted quickly, enabling instant playbook reruns to refresh all listings for compliance.
Backed by Funding and Trusted by Giants
Writer secured $200 million in a Series C round in November 2024, reaching a $1.9 billion valuation. Major clients like Vanguard, Marriott, Dropbox, and Clorox validated its appeal. Features such as corporate voice calibration, knowledge graphs for reliable data, and enterprise-grade security set it apart in a competitive field.
The platform’s Palmyra large language models offered cost advantages over rivals, with lower per-token pricing for high-volume use. As a neutral integrator, Writer connected across diverse SaaS ecosystems without favoritism. Habib emphasized its agentic potential. “All of the chair-swiveling between the multiple systems that all of us are doing every day, we need agents who are able to do that, and that’s what we’re building.” Reliability, traceability, and simplicity continued to draw enterprises experimenting with multiple AI options.
Writer’s rise underscored a maturing enterprise AI landscape, where tools must deliver tangible productivity without complexity. Businesses weighing AI investments might consider how such platforms align with their workflows.
Key Takeaways
- Business users build AI skills and playbooks without coding expertise.
- Over 200 prebuilt options target industry-specific tasks.
- Proven time savings exceed 85% in real deployments like Clorox.
What impact could business-led AI have on your organization? Share your thoughts in the comments.
