OpenAI launches GPT-5.5, targeting Monday.com teams’ daily work tasks
GPT-5.5 matters less as a benchmark win than as a new floor for coding, research and tool-hopping at monday.com. OpenAI says it pushes through messy tasks with less guidance.

GPT-5.5 is raising the expectation for what AI should do inside a work platform: not just answer questions, but work through code, research, documents and spreadsheets until the task is finished. OpenAI launched the model on April 23, saying it was built for complex real-world work, from writing code and analyzing information to moving across tools, and that it can understand the task earlier, ask for less guidance, check its own work and keep going through ambiguity.
That shift matters for monday.com because the company has spent the past year framing itself less as project management software and more as an AI work platform. monday.com says more than 250,000 customers worldwide use its platform, and it reported fourth-quarter 2025 revenue of $333.9 million, up 25% year over year. It also said monday vibe was the fastest product in company history to top $1 million in annual recurring revenue, while customers with more than $50,000 in ARR now make up 41% of total ARR.
The bar is moving fast enough that even latency is no longer the whole story. OpenAI said GPT-5.5 matches GPT-5.4 per-token latency in real-world serving while operating at a higher level of intelligence, a combination that points to a more practical kind of enterprise AI. The company also said GPT-5-Codex has served more than 40 trillion tokens in the three weeks since launch, a signal that agentic coding is already becoming a real production workload rather than a demo.
For monday.com engineers, the message is plain: internal coding tools and customer-facing AI features will be judged against models that can build, refactor, debug and review with far less hand-holding. For product managers, the standard for AI workflow orchestration has shifted from summarizing work to carrying it across systems. For sales teams, the customer pitch has to match that shift too, because buyers are increasingly looking for software that can govern execution, not just generate text.
monday.com has been moving in that direction. In February, it said it welcomed AI agents to its platform. On March 23, it launched Agentalent.ai with AWS, Anthropic and Wix, extending its bet on enterprise AI agents into hiring. The company also said in September that Gartner named it a Leader in its 2025 Magic Quadrant for Adaptive Project Management and Reporting for the fourth straight year, with monday.com positioned furthest on Completeness of Vision and highest on Ability to Execute for the second year in a row.
That is why GPT-5.5 lands as an expectations reset rather than just another model release. The question for monday.com is not whether AI looks smart on its own, but whether the platform can turn that intelligence into structured, governed work that teams can trust at scale.
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