Agent-in-the-loop research
Retrieval + summarization + human editorial gate. Reduces analyst cycle time; keeps the judgment layer human.
ProdOps · Business line 02 · Labs
·Experiments liveProdOps Labs is the internal workshop — AI workflows, agent concepts, prototypes, and reusable operating models are built, tested, and killed here before they become client-ready systems.
Line color
Cadence
Continuous — small hypotheses, hard kill criteria.
Purpose
Client work should never be the first place a pattern is tried.
Labs prototypes always assume a human in the loop where judgment lives — and a machine in the loop where repetition lives. The seam matters more than the model.
Workflow map · agent-in-the-loop
TestingFrame a hypothesis about a workflow or a decision. Small, sharp, disprovable.
Build the smallest version that would fail if the hypothesis is wrong.
Promote the winners into client work or internal tooling. Kill the rest cleanly.
Concept, in-progress, shipped, scaling. Real states — no fake demos, no vaporware. Labs artifacts inform client work; they are not the client work.
Retrieval + summarization + human editorial gate. Reduces analyst cycle time; keeps the judgment layer human.
Structured decision capture for product portfolios. Every ‘why we chose that' now findable in one line.
One-page executive briefing generated from meeting artifacts. Draft → human edit → publish, in that order.
Sort inbound work by ‘ship / defer / kill / automate'. Prompts framed by the operating model, not the LLM.
Domain-tuned assistant for repetitive product ops work. Answers grounded in the operating model docs, not the open web.
Structured interview + artifact scoring that produces an honest AI readiness read in under a week.
Every Labs pattern that survives becomes a component of client work — a workflow you can reuse, a diagnostic you can trust, a prototype you can point at.
Redesigning how work moves — with AI in the seams, not glued on top.
Small, scoped agents that solve one thing without pretending to solve everything.
Clickable, testable proof — enough to make a real decision on.
Reusable operating-model tools we won't teach without having used.
Labs · collaborate
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