Angela Jiang, a former product manager at OpenAI who played a key role in building ChatGPT, has launched a new startup called Worktrace AI. The company focuses on automating repetitive and time-consuming tasks inside large organizations through AI-driven workflows. Mira Murati, the Chief Technology Officer of OpenAI, along with top-tier investors like 8VC and Conviction, has already invested in the venture, signaling strong industry confidence in its vision.
From OpenAI to Founding a New Frontier
Angela Jiang spent years at OpenAI developing products that introduced AI into everyday professional life. During her time at OpenAI, she managed the early evolution of ChatGPT into a productivity platform. She observed how users relied on AI to summarize documents, draft responses, and handle digital coordination. Those experiences exposed a major inefficiency across industries: employees still spent hours switching between tools, managing emails, and performing routine updates that drained both focus and creativity.
Jiang decided to tackle that problem directly. She founded Worktrace AI in early 2025 with a single purpose — to build an AI layer that executes repetitive work automatically, without needing explicit commands. The startup operates quietly but ambitiously, already attracting attention from high-profile investors and enterprise clients eager to test its technology.
The Core Idea Behind Worktrace AI
Jiang believes that every modern workplace suffers from “work about work.” Employees spend more than half their time tracking progress, updating spreadsheets, confirming meetings, or summarizing documents instead of producing real value. Worktrace AI eliminates that friction.
The platform integrates directly into existing tools like Slack, Google Workspace, Notion, and Salesforce. It monitors ongoing tasks, understands natural-language prompts, and executes actions without manual oversight. For instance, if a manager says in Slack, “Summarize this week’s sales leads and email the update to the regional heads,” Worktrace AI can automatically compile the data, format it, and send the emails — all within seconds.
The system learns from each interaction. It builds context about how a specific team works and adapts its responses accordingly. Instead of offering static AI outputs, Worktrace AI delivers dynamic execution — a step beyond chat-based assistance.
Jiang explains her philosophy simply:
“AI shouldn’t just answer questions. It should take action. If I ask for a report, I don’t want a paragraph about it — I want the actual report ready in my inbox.”
A Tight Focus on Enterprise Efficiency
Many AI startups chase broad consumer markets, but Worktrace AI focuses on enterprise deployment. The company targets large organizations where repetitive workflows consume thousands of hours monthly. Finance, operations, marketing, and HR teams stand to benefit most from automation that respects organizational privacy and integrates deeply with internal systems.
To achieve that, Worktrace AI builds its own secure on-premise deployment model. This lets enterprises run the automation engine inside their private infrastructure while maintaining full data control. Jiang wants Worktrace AI to become the “trusted autopilot” for enterprises rather than another cloud-based chatbot.
Early pilot programs reportedly show promising results. One multinational retail company reduced its internal report-generation time by 80%. Another client used Worktrace AI to manage logistics coordination across vendors, cutting manual email volume by nearly half.
Backing from Industry Heavyweights
Worktrace AI’s early funding round drew attention for its impressive backers. Mira Murati, CTO of OpenAI, invested personally, describing Jiang as “one of the most visionary builders I’ve worked with.” Murati emphasized that Worktrace AI aligns with her belief that AI should remove drudgery from work, not just offer digital assistants.
Top venture firms 8VC, Conviction, and several angel investors from the enterprise software ecosystem also joined the seed round. They see Worktrace AI as the next evolution in applied AI — a product that moves from generating text to generating outcomes.
Jake Medwell, partner at 8VC, said,
“Angela understands the intersection of AI and workflow better than anyone. She isn’t building another chatbot. She’s building an AI employee that knows your tools, your data, and your habits.”
The startup has not disclosed its funding amount, but insiders suggest that the seed round closed at over $20 million, giving it ample runway to expand its engineering and product teams through 2026.
Design Philosophy and Technology
Worktrace AI’s product design avoids complex interfaces. Jiang insists that users shouldn’t need to “learn” another tool. The AI listens across channels where work already happens. It plugs into communication threads, task boards, and email chains, and quietly completes what users ask for.
The core system uses a context-memory architecture built on top of large language models and a proprietary task-execution layer. Instead of only predicting text, the system can call APIs, trigger internal actions, and verify outcomes. The AI also uses a verification loop to ensure it performs correctly — for example, checking whether an email actually sent or whether data matched required filters.
Jiang designed this approach after studying the failure points of AI automation. Most systems break when they face missing context or dynamic requirements. Worktrace AI handles that by reasoning over structured and unstructured data simultaneously. If the system can’t find enough context, it asks clarifying questions — not to stall, but to refine execution.
A Human-Centered Vision of AI
Despite her deep technical background, Jiang frames her mission in human terms. She wants to give professionals back their focus. She believes that people should use energy on strategy, not spreadsheets; on creativity, not coordination.
She rejects the notion that automation eliminates jobs. Instead, she sees it as redistribution of effort. “AI won’t replace people who use it well,” she said. “It will replace the drag that stops people from doing their best work.”
Her leadership style reflects that philosophy. Worktrace AI runs lean, with a distributed team of about 20 engineers, designers, and product managers. Jiang encourages flexible schedules and open experimentation. Every engineer can prototype an idea, test it with users, and deploy improvements rapidly.
Competition and Market Landscape
The enterprise AI automation space is heating up. Giants like Microsoft and Google push AI copilots deeply into Office and Workspace. Startups like Adept, Inflection, and Humane also explore task automation, but most focus on user interfaces rather than seamless workflow execution.
Worktrace AI positions itself differently. It doesn’t compete on flashy interfaces or consumer apps. It sells “invisible automation” — a service that quietly performs work behind the scenes, with reliability as its main feature. Jiang wants businesses to forget they are even using an AI. “If people notice it, we haven’t done our job,” she says.
This focus may allow Worktrace AI to carve a strong niche in enterprise infrastructure, where discretion, compliance, and consistency matter more than viral adoption.
Looking Ahead
Over the next year, Worktrace AI plans to expand its pilot programs and launch a closed beta for select enterprise customers. The company will also build partnerships with major SaaS providers to deepen integration capabilities. Jiang aims to release an SDK that allows developers to create their own automation modules within the Worktrace framework.
By 2026, she envisions Worktrace AI becoming a standard internal system — as essential as email or CRM tools — quietly running the “backstage” of digital work.
Conclusion
Angela Jiang built her reputation by helping create ChatGPT, one of the most transformative AI products ever. With Worktrace AI, she now aims to shift AI from conversation to action. She believes the next great leap won’t come from smarter chatbots but from AI that actually works alongside humans, executing their intent in real time.
Mira Murati’s backing, the strong investor lineup, and early enterprise interest confirm that this vision resonates. Jiang’s startup doesn’t chase hype; it solves a real, measurable problem: wasted human time.
As workplaces evolve into hybrid, tool-rich ecosystems, Worktrace AI may soon become the silent partner every team relies on — one that listens, understands, and gets the job done.
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