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.

Define an Outcome

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

Tell us the number you need to move

Define an Outcome

What we learn operating AI

Human-in-the-Loop Data Capture

AI for Dispute and Chargeback Automation

Measuring Whether Training Actually Stuck

The Economics of Operating Enterprise AI

Real-Time AI Avatars

Scaling Enablement Without Scaling Trainers

AI Patient-Facing Chatbots

Clearing Audit on First Pass

Red-Teaming Financial AI

When to Upgrade to a Newer Model

Designing the Handoff

AI in Algorithmic Trading

AI in Pharma Manufacturing and Quality

Tell us the number you need to move