AIDRA

AIDRA® is the proprietary spatial AI engine at the heart of gospace AI

This multi-component machine intelligent core technology learns from past, present and future data to intelligently forecast the space required every day for every team within a defined space (ie, office building). It reacts to unexpected real-time demand and automatically adapts team space to match, automating dynamic capacity optimisation.

AIDRA assimilates:

• Historic individual attendance data (when employees go to the office)

• Historic team allocations (where teams have previously been located in a building)

• Historic space use (using workplace sensor or wifi data)

• Team space preferences (specific zones or spaces they need to be located)

• Team connections (other teams they want to be located near or next to)

• Real-time and future demand (individuals scheduling to be in the office on the day or in the future)

• Future events (set by administrators in the admin console)

AIDRA allocates team space every day based on these data sources with no need for individuals to book a desk with:

• The minimum amount of change to each team's allocated space every day, so teams are provided with continuity and familiarity with where they are located each time they’re in the office.

• The minimum distance between teams that want to be located near each other in the building, to increase productivity and enhance the employee experience.

• The maximum amount of efficiency, so excess space can be grouped together and floors/zones closed to reduce operational costs and CO2 emissions.

AIDRA evolution

When AIDRA ‘evolves’ every day (creates a space allocation plan based on forecasts), it is an automated process. The impact on employees is that based on all the various data inputs, AIDRA might decide to move a team from one location to another (to achieve greater efficiencies, or to have greater effectiveness as they are closer to other teams they need to work with). However, administrators can override these decisions and make manual adjustments to allocations, or input requirements which inform/restrict AIDRA’s solutions.

When evolving daily allocations we use a specially configured mode: ‘super-minimise’. The weighting on pre-allocation and history (where a team is currently and has been allocated space in the past) is increased when compared to our standard-minimise mode i.e., solutions that respect previous allocations are scored higher than those that improve connectivity. The increase in weighting is between 30-50%. In addition, super-minimise mode checks various conditions before attempting to make changes to the future team space allocation. The main goal is to only move teams if necessary, and not over-optimise a good solution.