AI that people can trust is built, not declared.
Responsibility at AIGrama is not a compliance page — it is how engagements are scoped, staffed, and measured. These are the commitments every piece of work carries.
AI systems we design keep people in the loop for consequential decisions. In citizen-facing work, no automation ships without human review and a clear escalation path.
We collect and process only the data a workflow needs, for the purpose it was gathered — designed to align with the DPDP Act, 2023 and the client's own governance.
Success criteria are agreed before a system is built, measured in a bounded pilot, and reviewed before anything scales. A demo is not adoption.
We describe what a system can and cannot do — to buyers, users, and governors. Our own scope follows the same rule: AI is current practice, Robotics is training, Quantum is a horizon.
Every system ships with its users and governors enabled — training, operating notes, and an improvement backlog are deliverables, not extras.
Decisions, data flows, and ownership are documented so the work stands up to audit — and so the capability belongs to you, not to us.