Page delivers a 270,000 sq ft student-housing project in three weeks with SWAPP

• 270,000 sq ft designed in 3 weeks
• 40% smaller project team
• 80% reduction in manual workflows

Page chose SWAPP because it wanted to change the economics of large-scale production, not just add another plugin. Firms delivering high-volume housing and mixed-use work spend enormous amounts of skilled time on repetitive documentation: creating views, laying out sheets, tagging, and building schedules across dozens of nearly identical floors. That work has to be accurate and consistent, but it rarely needs a designer's creativity. SWAPP was the only solution that could take on that production directly inside Revit, execute it against Page's own firm standards, and keep pace with a client who was still making changes late into schematic design. Just as important, SWAPP fit the way Page already worked. Its AI agents operated in the firm's live models rather than exporting to a separate environment, so the team kept full control and could review every output. That let Page trust automation on a real, time-critical project instead of a sandbox. The firm also valued that SWAPP's approach compounds: the more the system learns a firm's standards and habits, the more of the production it can reliably handle on the next project. For a design-technology leader trying to scale output without scaling headcount, that combination of in-Revit execution, firm-specific quality, and a repeatable model was the deciding factor.

Deliver a 270,000 sq ft student-housing project from concept to schematic design in only 21 days. Absorb frequent, client-driven design changes without blowing the timeline. Handle high-volume, repetitive production tasks across many similar floors. Avoid staffing up or burning out the team to hit the deadline. Maintain accuracy and consistency with the firm's documentation standards.

Before SWAPP, this production work was done manually in Revit. Teams built views, sheets, tags, and schedules by hand across every floor and drawing series, then redid large portions of it each time the client revised the design. Hitting an aggressive schedule meant adding people and hours.

The impact showed up directly in speed, staffing, and predictability. Page delivered the full 270,000 square foot schematic design package in three weeks, a timeline that would normally require a much larger team and significant overtime. By moving repetitive production into SWAPP's AI agents, the firm optimized the team by roughly 40%, freeing experienced architects to concentrate on design resolution and client coordination instead of drafting. Manual, repetitive workflows dropped by about 80%, which both accelerated delivery and reduced the risk of inconsistencies creeping in as the design changed. Beyond the single project, the engagement gave Page a production model it can reuse. Because SWAPP executes against the firm's own standards and learns from each project, the efficiency gains are not a one-time event; they carry forward and compound on the next large housing or mixed-use effort. For firm leadership, the business case is straightforward: more square footage delivered per person, faster turnaround on time-critical packages, and the ability to take on ambitious projects without proportionally growing headcount. That combination protects margins on fixed-fee work and lets the firm say yes to aggressive timelines with confidence, while keeping its most valuable people focused on the design work that differentiates Page in the market.