Real numbers, real strategies, real results from running an AI workforce.
Construction companies are sitting on more data than any other industry — and doing almost nothing with it. Here's how satellite CV, dead-deal resurrection, and dynamic bid pricing are changing that.
How our AI engineering platform shipped 188 production updates for a PE-backed national services company — executive dashboards, dynamic pricing, automated lead discovery.
The manual estimation bottleneck is costing contractors millions. Here's how AI-powered bid analysis reduces review time by 95%, improves accuracy by 23%, and pays for itself in month one.
Most companies deploy AI with no accountability. We built a system where AI workers score themselves — and help humans get better too. Here's the framework.
We run 16 AI agents across 4 business units. Here's exactly what they cost — broken down by model, task type, and ROI. Real data from a real company.
The companies winning with AI aren't better at tech — they're better at management. OKRs, performance reviews, and accountability matter more for AI than humans.
Enterprise governance without enterprise complexity. The 5 controls that actually matter when running AI agents in production.
Not what you think. We didn't fire anyone — we automated the role that was impossible to fill. The AI does it for $50K/year.
You have 5, 10, maybe 20 AI agents. But where do you see what they're all doing? What they cost? Whether they're delivering ROI?