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.

★★★★★

"Engini helped us save a significant number of human work hours. We developed apps for our field employees, making operations more efficient."

Information Systems Project Manager Mid-Market (51-1,000 Employees)

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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.

Joined structured record cards sit beside a matching outreach sheet and an open approval clip.

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.

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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.

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Smart project management

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

Frequently asked questions

What role do Tables play in an agent workflow?

Tables hold the structured records and state that agents and people share. A new or changed row can trigger a workflow, so the data and the next action stay in one place.

What can AI-assisted columns do with a record?

They can summarize records, classify leads and extract structured fields from unstructured content. Each call is logged in the audit trail.

Which operational workflows can use Tables?

Common examples are lead intelligence, inventory monitoring and project management. Any workflow that needs shared, structured data can read from and write to a table.

Still have questions? Read the docs, or leave your details and our team will follow up.