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Enterprise agentic AI

Your enterprise AI workforce

Build, orchestrate, govern and measure AI agents that do real business work across the apps you already use — in Sales, Finance, HR, Procurement, Operations and IT — with human approval and an audit trail on every action that matters.

Capabilities

Agents that do real work

Agents understand a goal, decide, execute and report — across Sales, Finance, Customer Service, HR, Procurement, Operations, Marketing, Legal and IT.

Grounded in your knowledge and permissions

An agent draws on your company knowledge and can only touch what it is granted; permission is checked before any data reaches the model.

Human-in-the-loop, set by risk

Auto, notify, approve, dual-approve or forbid — per agent and per action. Reversible steps run inside policy; high-impact ones wait for a named person.

Measured in business terms

Every run is traced, costed and verified, so hours saved, cost reduced and value created are reported as they happen.

How it works

  1. 1Connect the systems you already run
  2. 2Describe the business goal in plain language
  3. 3Agents plan, draw on your knowledge and execute inside policy
  4. 4High-impact steps wait for approval; every run is measured

Best for

Without it

Routine work stays scattered across ERP, CRM, ticketing, email and spreadsheets. Tasks pile up, approvals stall, the backlog builds and hours are lost before anyone sees it.

See what InsAI would look like inside your operation.

Start with the question you are asking today, or talk to the team about a scoped pilot on your own data. No generic AI presentation — start with the business problem.