Case studies
How enterprises use gospace AI to automate, save, and scale.
JLL


Cut solution allocation time from weeks to minutes across 100M sq ft
JLL’s global occupancy planning consultancy adopted an early version of gospace AI to automate complex block and stack plans for large enterprise clients. Traditionally a multi-week process involving teams manually analysing data, gospace AI delivered optimized floor plans in minutes — at scale. Over three years, the platform helped redesign space across nearly 100 million square feet of global real estate.
Impact :
Cut solution time from weeks to minutes, enabling faster decision cycles
Delivered 25% more space savings than other AI/ML alternatives
Scaled to 30+ enterprise customers with over 100M sq ft analysed
Enabled consultants to focus on strategy, not manual modelling


Cut solution allocation time from weeks to minutes across 100M sq ft
JLL’s global occupancy planning consultancy adopted an early version of gospace AI to automate complex block and stack plans for large enterprise clients. Traditionally a multi-week process involving teams manually analysing data, gospace AI delivered optimized floor plans in minutes — at scale. Over three years, the platform helped redesign space across nearly 100 million square feet of global real estate.
Impact :
Cut solution time from weeks to minutes, enabling faster decision cycles
Delivered 25% more space savings than other AI/ML alternatives
Scaled to 30+ enterprise customers with over 100M sq ft analysed
Enabled consultants to focus on strategy, not manual modelling


Cut solution allocation time from weeks to minutes across 100M sq ft
JLL’s global occupancy planning consultancy adopted an early version of gospace AI to automate complex block and stack plans for large enterprise clients. Traditionally a multi-week process involving teams manually analysing data, gospace AI delivered optimized floor plans in minutes — at scale. Over three years, the platform helped redesign space across nearly 100 million square feet of global real estate.
Impact :
Cut solution time from weeks to minutes, enabling faster decision cycles
Delivered 25% more space savings than other AI/ML alternatives
Scaled to 30+ enterprise customers with over 100M sq ft analysed
Enabled consultants to focus on strategy, not manual modelling
Financial Enterprise


Avoided unnecessary 30% real estate expansion with real-time AI allocation
A global financial enterprise faced space fragmentation from unpredictable hybrid attendance—believing they needed 30% more space to support their teams. Using gospace AI’s automated allocation engine, they replaced bookings with real-time assignments that adapt daily to team schedules, presence, and collaboration needs.
Impact :
Saved over $6.5M annually in lease and operating costs
Enabled daily desk allocations with zero user booking input
Consolidated underused floors on low-demand days
Increased team co-location and reduced unused capacity across sites


Avoided unnecessary 30% real estate expansion with real-time AI allocation
A global financial enterprise faced space fragmentation from unpredictable hybrid attendance—believing they needed 30% more space to support their teams. Using gospace AI’s automated allocation engine, they replaced bookings with real-time assignments that adapt daily to team schedules, presence, and collaboration needs.
Impact :
Saved over $6.5M annually in lease and operating costs
Enabled daily desk allocations with zero user booking input
Consolidated underused floors on low-demand days
Increased team co-location and reduced unused capacity across sites


Avoided unnecessary 30% real estate expansion with real-time AI allocation
A global financial enterprise faced space fragmentation from unpredictable hybrid attendance—believing they needed 30% more space to support their teams. Using gospace AI’s automated allocation engine, they replaced bookings with real-time assignments that adapt daily to team schedules, presence, and collaboration needs.
Impact :
Saved over $6.5M annually in lease and operating costs
Enabled daily desk allocations with zero user booking input
Consolidated underused floors on low-demand days
Increased team co-location and reduced unused capacity across sites
Barclays


System-wide optimization across 74,000 employees
After winning Barclays' global RFP in 2022, gospace AI became the backbone of their capacity planning across 19 major locations. The system dynamically adjusts space allocations in real time as the bank adapts to changing org structures, time-in-office mandates, and merger activity. What used to be handled through static rules and dashboards is now live and responsive.
Impact :
Supports 74,000 employees across 19 sites — all with a single platform
Handles daily changes in team structure, office attendance, and headcount
Removed the need for manual updates or static rulesets
Enables zero-latency space replanning, from business event to layout


System-wide optimization across 74,000 employees
After winning Barclays' global RFP in 2022, gospace AI became the backbone of their capacity planning across 19 major locations. The system dynamically adjusts space allocations in real time as the bank adapts to changing org structures, time-in-office mandates, and merger activity. What used to be handled through static rules and dashboards is now live and responsive.
Impact :
Supports 74,000 employees across 19 sites — all with a single platform
Handles daily changes in team structure, office attendance, and headcount
Removed the need for manual updates or static rulesets
Enables zero-latency space replanning, from business event to layout


System-wide optimization across 74,000 employees
After winning Barclays' global RFP in 2022, gospace AI became the backbone of their capacity planning across 19 major locations. The system dynamically adjusts space allocations in real time as the bank adapts to changing org structures, time-in-office mandates, and merger activity. What used to be handled through static rules and dashboards is now live and responsive.
Impact :
Supports 74,000 employees across 19 sites — all with a single platform
Handles daily changes in team structure, office attendance, and headcount
Removed the need for manual updates or static rulesets
Enables zero-latency space replanning, from business event to layout
Legal client


From Executive Assiatant bookings to autonomous partner room assignments
A legal client deployed gospace AI to fix an executive-specific pain point: EAs were overbooking rooms to guarantee availability for partners, leading to chronic underutilization. gospace AI learned each partner's preferences and now assigns rooms automatically upon arrival — no EA input required. The system’s success led to full firm-wide rollout.
Impact :
Eliminated manual EA room bookings, saving time and reducing friction
Partners now show up and get auto-assigned rooms based on preference.
Rolled out to 44,000+ employees — all dynamically allocated daily.
Enabled firm-wide automation, from senior level staff to general staff usage.


From Executive Assiatant bookings to autonomous partner room assignments
A legal client deployed gospace AI to fix an executive-specific pain point: EAs were overbooking rooms to guarantee availability for partners, leading to chronic underutilization. gospace AI learned each partner's preferences and now assigns rooms automatically upon arrival — no EA input required. The system’s success led to full firm-wide rollout.
Impact :
Eliminated manual EA room bookings, saving time and reducing friction
Partners now show up and get auto-assigned rooms based on preference.
Rolled out to 44,000+ employees — all dynamically allocated daily.
Enabled firm-wide automation, from senior level staff to general staff usage.


From Executive Assiatant bookings to autonomous partner room assignments
A legal client deployed gospace AI to fix an executive-specific pain point: EAs were overbooking rooms to guarantee availability for partners, leading to chronic underutilization. gospace AI learned each partner's preferences and now assigns rooms automatically upon arrival — no EA input required. The system’s success led to full firm-wide rollout.
Impact :
Eliminated manual EA room bookings, saving time and reducing friction
Partners now show up and get auto-assigned rooms based on preference.
Rolled out to 44,000+ employees — all dynamically allocated daily.
Enabled firm-wide automation, from senior level staff to general staff usage.