FPI EVIT — eVIT Geospatial Platform
A geospatial desktop platform, plus agents that quietly give the team its day back.
For a specialist engineering firm we built a native C++ geospatial analysis application and a set of AI-agent automation flows — turning repetitive analysis prep and reporting into supervised machine work.
Context
Geospatial analysis is expert work wrapped in clerical work: data wrangling, format conversion, report assembly. The experts were scarce; the clerical part ate their hours.
The costly problem
An estimated 100 person-hours per day across ~40 users went to repetitive preparation, conversion and reporting tasks — modeled from ticket logs and time sheets over 6 weeks.
Baseline
Ticket-log model validated with team leads: median 2.5 clerical hours per expert per day; error-prone manual re-entry between GIS, CAD and reporting tools.
Intervention
A native desktop application for the specialized analysis itself — fast, offline-capable, built for the actual workflows — surrounded by AI agents that prepare inputs, convert formats and draft reports for human approval.
Human responsibilities
- Experts approve every agent-drafted report before release; nothing auto-sends
- A power user per team acts as agent operator — first-line tuning, escalation to us second-line
- Monthly adoption review with team leads decides what the agents take over next
Measured outcome
Limitations
The 60–100 h/day range is a model, not a stopwatch measurement — inputs and assumptions are documented in the case artifacts and reviewable. Reclaimed capacity funded backlog reduction and training, not layoffs.
Experts spend mornings on analysis instead of preparation; report turnaround dropped from days to same-day. Adoption held because agents assist inside the tools people already use.
Next step
Extending agents into field-data intake and quality flagging.