Construction projects generate thousands of documents, decisions and approvals. Even the most widely used project management platforms still rely on people to find the information, interpret it, and spot problems as they form. Zepth today released an AI Operating System designed to change that.
Instead of simply recording project activity, Zepth works alongside the project team-performing routine control work, coordinating next steps and continuously forecasting where the project is heading. The company has already deployed the system across more than 50 million square feet of projects in the Middle East, India and beyond.
AI co-workers that handle routine controls
Zepth's AI co-workers pre-review submittals, check compliance, identify missing information, compare tenders, route decisions, monitor response periods and surface contractual risk. Each co-worker understands the process it is responsible for, the people involved, the information required and the deadline for action.
For a document controller, Zepth can pre-review every incoming submittal, identify missing requirements, monitor the response period and escalate a bottleneck before it delays downstream work. For a procurement team, it can compare bids, identify technical and commercial exceptions and surface the decision that needs a human judgment call. The human remains accountable for the final decision; Zepth performs the repetitive analysis and follow-through required to reach it.
In measured deployments, Zepth has reduced submittal and RFI review cycles from an average of 5.2 days to 1.7 days while achieving 94% first-pass review accuracy. On a fast-track hospitality and retail development in the Middle East, the system shortened approval cycles by approximately 60% and accelerated site-incident response by 50%.
A forward view of the project
Traditional reporting tells project leaders what has already slipped. Zepth continuously reads live signals across a project and simulates thousands of possible outcomes. It shows teams not only the scheduled completion date, but the probability of achieving it; not only the current cost position, but where exposure is building; and not only claims already filed, but where the contractual record is developing into a future claim.
It then recommends corrective action while intervention is still possible-and still affordable. For professionals working in real estate and construction, that shift in timing changes the economics of delivery: a risk identified after it has materialized becomes a recovery program or a claim; the same risk identified early is still a decision that can be made.
One intelligence layer across the project
Zepth works across delivery, procurement, workforce, commercial control and asset operations. It is designed to work alongside the enterprise systems, common data environments, schedules, document repositories and design tools that organizations already use. This enables teams to add predictive intelligence without abandoning mandated platforms or disrupting established project governance.
"Construction software has spent decades telling teams what already happened," said Prasoon Shrivastava, Founder and CEO of Zepth. "Zepth is built for the questions that matter more: What needs to happen now, and what is likely to happen next? Our AI co-workers move the work forward while our predictive intelligence shows where the project is heading. Human judgment remains in control-but it arrives earlier, with better evidence and far more time to act."
The Zepth AI Operating System is available in the GCC, India and the Americas. The company's long-term direction is what it calls the self-delivering project: an environment where routine controls run continuously, risks are anticipated, and only the decisions requiring human judgment rise clearly above the noise. For project managers looking to understand how this technology changes their daily workflow, an AI Learning Path for Project Managers covers the concepts demonstrated by Zepth's system.
Why this matters for professionals in real estate and construction
For owners, developers, contractors and project management consultancies, the significance of Zepth is practical. For decades, construction software served as a record-a document of what already happened. Zepth's platform acts on the present and reasons about the future. That means the same professionals who currently spend hours chasing submittals, checking compliance and flagging delays can instead focus on the decisions that require judgment. The AI handles the rest, and for capital programmes where every week of delay and reduces margin-or requests in the standard of work-having a system that forecast risk before they land is a direct financial advantage.
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