ImpactOS for Arvind Foundation
Training Operations & Beneficiary Impact Management
Prototype — Synthetic Demo Data

AI Copilot

Scoped agents answer only from the synthetic record set. Outputs are drafts requiring human approval.

Synthetic Demo

Training Operations Agent

Batch health, attendance problems and centre-level evidence gaps.

Beneficiary Journey Agent

Longitudinal beneficiary journeys across every supporting project.

Compliance Evidence Pack Agent

DGMS/NSDC-tagged evidence assembly and gap detection.

Corporate Training Report Agent

Corporate engagement summaries drafted from approved evidence.

Ask the copilot

The copilot never invents beneficiaries or results — if a record is missing it says so.

How answers are governed

  • Every answer lists the record IDs it used.
  • Confidence is shown and never hidden behind a claim of certainty.
  • All outputs carry Human Approval Required