Project coordination
Bring schedules, budgets and project reporting together with DataCore across existing tools.
AI for construction operations
Connect project records, cost information and technical documents. Focus on the handoffs where fragmented information slows decisions.
AI applications in construction
Which information is missing at the handoff?
Cost and resource planning
Explore planning scenarios with Forecast IQ and check assumptions against the data available to your team.
Document retrieval
Use Ximple AI to find specifications and project records; assess DrawScan for drawing-data extraction.
See how a workflow connects
Existing records
- Project records
- Cost estimates
- Specifications
Connected information
DataCoreWhich information is missing at the handoff?
Human review
Review the project handoffStart with the records your team already uses. Check access, completeness and ownership before connecting them.
DataCore brings the relevant information together. Agree on definitions and resolve gaps before using it in an AI workflow.
Use the connected information to support a decision. Your team checks the evidence and decides what happens next.
Illustrative workflow. Connections, outputs and data access are scoped during assessment.
Prove the value in one process first.
Map the data sources, define a measurable success criterion, and validate a working prototype before expanding the deployment. Your operations team helps decide what is useful.
Explore our methodQuestions before you start
Where can AI help a construction team?
Bring schedules, budgets and project reporting together with DataCore across existing tools. Explore planning scenarios with Forecast IQ and check assumptions against the data available to your team. Use Ximple AI to find specifications and project records; assess DrawScan for drawing-data extraction.
Do we need to replace our existing systems?
The starting point is your current systems and a defined workflow. We assess available integrations, data access and quality before recommending how to connect them.
What data should we prepare?
Bring a representative sample of the records used in the workflow, the business rules behind them and the people who own the process. Data quality and access are assessed before a prototype is scoped.
How do we decide whether a pilot is useful?
Agree on a baseline and a measurable goal for one process, such as time spent reconciling records or answering an operational question. Validate the result with the team before deciding whether to expand.
Plan your first AI project
Explore another industry
// NEXT STEP
Find out where AI pays off in your operation.
A one-week diagnostic audit. No commitment beyond that.
Book a free AI assessment