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The Financial Operating System for Construction

Briq is a specialized financial automation and predictive analytics platform engineered specifically for the construction industry. By 2026, Briq has solidified its position as the leading 'Financial Operating System' that bridges the gap between project management (Procore, Autodesk) and accounting (Sage, Viewpoint, NetSuite). Its technical architecture centers on a proprietary construction-specific data lake that aggregates fragmented data from field reports, payroll, and AP/AR. Utilizing advanced machine learning models, Briq automates the Work-in-Progress (WIP) reporting process, which historically required hundreds of manual hours. The platform's predictive engine analyzes historical project performance to forecast 'profit fade' before it occurs, allowing CFOs to intervene early. By 2026, Briq's AI agents (Briq Bots) autonomously handle repetitive tasks like data entry between non-integrated legacy systems, reconciliation of purchase orders, and complex labor allocations across multiple cost codes. This vertical AI approach ensures that construction firms can maintain thin margins while scaling operationally without a linear increase in overhead costs.
Briq is a specialized financial automation and predictive analytics platform engineered specifically for the construction industry.
Explore all tools that specialize in consolidate financial data. This domain focus ensures Briq delivers optimized results for this specific requirement.
Explore all tools that specialize in automated wip reporting. This domain focus ensures Briq delivers optimized results for this specific requirement.
Robotic Process Automation tailored for construction legacy software, capable of UI-level interaction with on-premise ERPs.
Dynamic Work-In-Progress reports that pull real-time data from field costs and project estimates.
Machine learning algorithms that identify patterns leading to project overruns based on historical cost-to-complete trends.
A centralized repository that normalizes data from disparate sources like Procore, Sage, and Excel.
Corporate cards and expense tracking that automatically map transactions to project cost codes.
Automated ASC 606 compliance for construction contracts based on percentage of completion.
Predictive modeling of labor requirements based on project schedule and historical productivity rates.
Discovery and mapping of existing ERP and Project Management architecture.
Secure connection of 'Briq Bots' to legacy databases (Sage/Viewpoint/Spectrum).
Data normalization and ingestion into the Briq Construction Data Lake.
Configuration of cost codes and organizational hierarchies.
Customization of WIP templates and revenue recognition logic.
Integration of corporate spend cards and accounts payable workflows.
Validation of historical data to calibrate predictive forecasting models.
User Acceptance Testing (UAT) with the finance and project management teams.
Deployment of automated 'Profit Fade' alert triggers.
Full production rollout and continuous AI model tuning.
All Set
Ready to go
Verified feedback from other users.
"Users highly value the reduction in manual data entry and the industry-specific nature of the platform. Some find the initial implementation phase complex due to the nature of legacy ERP systems."
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