What we learn operating AI

Every post draws on a system we engineered and still answer for in production, written by the engineers and leaders accountable for it, so each lesson has already been tested against real users and real auditors.

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Agentic AI27 July 2026

Human-in-the-Loop Data Capture

Most capture pipelines put the reviewer at the end of the line, where a finished extraction looks settled and gets waved through. Oversight earns its keep at the point the agent is unsure, which makes this a placement decision before it is a staffing one.

Shardul SinghCTORead the blog

Agentic AI

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What we learn operating AI

Human-in-the-Loop Data Capture

Grounding Agents in Live Enterprise Data Without Copying It

Engineering AI for Multilingual India

AI in Trade Finance

Risk-Based Clinical Trial Monitoring With AI

Mistral Large 4 and the European Open-Weight Option for Regulated Use

When the Rubric Ages Faster Than the Model

Microsoft Autopilot and Agent Identity

Policy Lapse Prediction in Life Insurance

Back-Pressure for Agent Fleets

Decision Models That Return No Text

Interoperable Health Records and AI

One Rubric for Every Applicant

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