How Modelart turned meetings and field notes into searchable operating memory
An AI meeting assistant transcribes, summarizes and stores conversations so decisions, owners and deadlines remain searchable throughout long projects.
Meeting notes were delayed, recordings went unreviewed and project details remained scattered across notebooks, messages and individual memory.
- Meeting records are produced without additional manual work
- Decisions and deadlines remain available months later
- Manual review of recordings and notes has been reduced
- The foundation is ready for task-management integration
Delivered solution
One AI assistant unified formal meetings and field notes, moving from audio to transcript, summary, distribution and later natural-language retrieval.
Implementation stages
A real operating constraint · Meetings and field work in one flow · AI application as team memory · Iterative capability expansion
Case-study indicators
minutes — to a usable record · 2 — workflows in one system · 1 — searchable team memory
Operational perspective
Fast retrieval of the exact decision and deadline matters more than transcription alone, especially on projects that run for years.
Delivery status and evidence limits
Live in daily operations. The case confirms active use and functional outcomes. We do not state a time-saving percentage because that metric is not publicly documented.