Case study · Project management, construction
From buried in admin to bids out in days
Bids, scopes, client messages and expenses were handled largely by hand, on top of managing
projects.
| Task |
Before |
After |
| Document generation and review |
About a week |
A day or two |
| Data search |
30-40 minutes |
Under 5 minutes |
| Receipt reconciliation |
At least 45 minutes |
Under 10 minutes |
| Daily brief |
Meetings and priorities scattered |
One morning summary, nothing missed |
Case study · Nonprofit operations, community organization
Faster, verified work for a stretched nonprofit team
An executive administrator and a maintenance team buried in manual work across a multi-campus
organization.
| Task |
Before |
After |
| Research support |
Manual copy-pasting and general AI answers, sources unchecked |
Answers grounded in verified primary sources, with citations |
| Receipt reconciliation |
About 45 minutes per statement, 5-6 months behind |
Under 10 minutes |
| Document generation and review |
Generic output and a lot of rework |
Highly customized, on-target results |
| Decision support |
Manual data analysis |
Automatic sorting and pattern recognition for faster decisions |
Case study · Owner-operator, retail
From doing everything to running on systems
An owner running staff, inventory, accounting and maintenance alone, across multiple locations.
| Task |
Before |
After |
| Document generation |
No easy profit and loss view; calculated and tracked by hand |
Profit and loss tracker set up |
| Research support |
No clarity on roles, responsibilities or market compensation |
Prioritized roles and hiring strategy |
| Commitments |
Tasks not tracked |
Easy task creation and tracking from mobile |
| Written procedures |
Outdated procedures |
Rapid procedure drafting for critical roles |
Case study · Engineering operations, enterprise technology
45,000 engineering hours saved a year
Troubleshooting product issues was slow, manual work spread across a 1,000+ engineer organization.
| Area |
Result |
| Automated issue diagnosis |
45,000+ engineering hours saved a year (~$3M) |
| Engineering standards and reviews |
~700 engineer hours saved a month |
| Software delivery for 500+ engineers |
80% faster, with deployments twice as frequent |
| Automation found in existing data |
5,000+ engineer hours saved |