Shanti Infosoft

Shanti Infosoft engineers estimate the ongoing operational costs of AI features, including tokens, retries, retrieval, infrastructure, and human review, and recommend choosing the cheapest model that …

Shanti Infosoft argues that placing human checkpoints in AI agent workflows is a business decision, not a technical one. The company recommends a 'draft and approve' pattern initially, using reversibi…

Shanti Infosoft argues that the only metric that matters for an AI agent is the specific business outcome it was built to improve, such as hours saved or leads captured, measured before and after depl…