Managed AI Operations
Two practical ways to make AI useful in operations.
Big Robot builds operating layers when your systems need a trusted foundation, and operates Managed Agents when a narrower workflow can run safely with approved access and support.
Offer Fit
The right fit depends on the workflow.
The decision comes down to how many systems the work touches, what decisions need approval, and what privacy or audit rules apply.
- Enterprise AI operating layer
- For disconnected systems, historical records, source-of-truth conflicts, sensitive approvals, and work that needs a trusted foundation before AI can help.
- Managed Agents
- For specific business functions that can run through approved access, clear procedures, custom skills, monitoring, updates, and support.
- Construction accounting automation
- The current strongest proof wedge: AR, AP, reconciliation, payment readiness, compliance evidence, and approval workflows across construction finance systems.
Current Proof
Construction accounting shows the operating layer in practice.
Finance exposes the hard parts quickly: money movement, compliance evidence, approval state, and records split across systems. Big Robot has public proof here today.
Owner billing backup
Backup packages are assembled from Procore, Sage Intacct, Miter, and Titanium with line-item evidence and human approval preserved.
Payment readiness
Project managers and accounting see what is ready, blocked, on hold, or approved before subcontractor payment moves forward.
AI access after controls
The public proof is the operating layer foundation. Approved AI access comes after trusted data, role boundaries, and review controls are in place.