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AI Engineering

10 articles on ai engineering, written by the people who did the work.

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AI Engineering

Enterprise AI agents: the complete guide

Where agents produce returns, why projects get cancelled, what governance actually requires, and the architecture that survives a security review.

30 Aug 20263 minAnimesh Pathak

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AI Engineering

Human-in-the-loop design people actually accept

A review step that shows a raw model output and asks for approval is not oversight — it is a rubber stamp with extra clicks. What makes the human lane work.

18 Aug 20263 minAnimesh Pathak

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AI Engineering

AI in loan origination, without moving the decision

Approval turnaround down 68% at an NBFC, with tighter controls rather than looser ones — because the agents did everything except approve loans.

14 Aug 20264 minAnimesh Pathak

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AI Engineering

Building the evaluation set before the system

A hundred real questions with verified answers, collected during discovery. It is the cheapest artefact in an AI project and the one whose absence makes every later decision a guess.

10 Aug 20264 minAnimesh Pathak

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AI Engineering

What an AI audit trail actually has to capture

Recording that a decision happened is not an audit trail. Reconstructing why it happened, eleven months later, with the model since replaced, is.

4 Aug 20264 minAnimesh Pathak

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AI Engineering

The DPDP Act and AI systems

Purpose-bound consent, withdrawal that has to be honoured, and a right to correction — three provisions that reshape an AI architecture rather than adding a policy document.

2 Aug 20264 minAnimesh Pathak

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AI Engineering

Why enterprise agent projects get cancelled

Not because the model was not good enough. Because nobody built the evaluation set, the cost ceiling, the action allowlist or the human lane — and the security review found out.

25 Jul 20263 minAnimesh Pathak

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AI Engineering

AI governance for regulated Indian enterprises

ISO 42001, the NIST AI Risk Management Framework and the EU AI Act are the frameworks your risk team will name. The DPDP Act and your regulator's outsourcing directions are what actually bind you.

19 Jul 20264 minAnimesh Pathak

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AI Engineering

AI agents in the enterprise: what actually works in 2026

Beyond the demos: where autonomous agents are producing measurable returns, where they fail, and the architecture patterns that separate the two.

14 Jul 20264 minAnimesh Pathak

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AI Engineering

RAG beyond the demo: making retrieval actually reliable

Anyone can wire a vector store to a model. Production RAG lives or dies on chunking strategy, permissioned retrieval, evaluation sets, and freshness pipelines.

22 Apr 20264 minAnimesh Pathak

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