Data management and administration is an expensive part of project delivery.
Project teams across disciplines, from site engineers to QS, spend a huge amount of time performing non-value adding data admin and data entry tasks. Project managers spend hours each week organising, compiling, andĀ charting data for analysis and reporting.
Accurate and timely data administration is essential to track progress, risks, and issues as well as reporting and compliance purposes. However, even the most organised project teams struggle with fragmented data with questionable veracity.
We envision a different way…
We envision Artificial Intelligence, in the form of Programmable Data Automation, Multimodal Language Interaction and Logic Encoding, to do the heavy lifting, allowing the project team to do what they do best: engineering, management and problem solving. Our goal is to minimise or completing eliminateĀ labour intensive, problematic and excessive data administration and management responsibitiies.
We are developing a AI Agent Prototype affectionately known as Jerome.
Instead of spending hours each day writing reports and filling in spreadsheets, project teams can provide verbal or text reports to the AI agent to automatically update relevant databases, registers and dependent data.
Autonomous data entry means fragmented and unstructured spreadsheets and databases will no longer be a burden to the project manager and the project teams. Single source of truth becomes a practical reality.
Real time query and analytics through reconfigurable data logic, providing clarity on progress and actions, whilst reducing exhaustive data administration, management and reporting.
The inference engine can systematically analyze ongoing documentation, reports and communication to assess project risks, issues and compliance fulfilment through logic encoding and semantic analysis.
If you would like to know more, please reach out to us.
