Shared data your agents can act on
Engini Tables give agents and teams one structured, relational source of truth. A new or changed row can trigger a workflow, and agents reach your data only through the tools you put in their set.
Structured data that keeps agents grounded
Relational data architecture
Link records across your systems in one relational model. Agents work from structured, current data instead of loose files, which keeps their decisions consistent and easy to review.
AI-native columns
Turn columns into agent steps. Summarize records, classify leads and extract structured fields from unstructured text as rows arrive, with every call logged.
Centralized AI context
Tables act as shared memory for your agents. Structured, real-time context improves retrieval-augmented generation (RAG) and keeps every agent aware of where a process stands.
Enterprise-grade permissions
Set role-based access at the row and column level, so agents and people only touch the data they are authorized to see.

Lead intelligence and outreach
Agents score leads, run sentiment analysis and draft personalized outreach from a single relational view. Records update as work happens, and sends that need sign-off wait for approval.

Inventory and supply chain
Agents watch stock levels in real time. When a row crosses a threshold, a workflow starts procurement or vendor outreach, and purchase orders above your limit go to a person to approve.

Smart project management
Agents spot bottlenecks, suggest resource changes and update timelines from live structured data, keeping global teams aligned without extra status meetings.