Insights

Notes on agentic AI, in plain language.

Original writing from the NU HAUS AI agents practice for the people who have to decide whether to build. No hype, no fabricated numbers, no vendor pitches.

July 24, 2026 · 8 min read

Agentic AI consulting: a practical guide for business leaders

A concrete, non-hype guide to agentic AI consulting for business leaders: what to scope, how to evaluate partners, what governance to require, and how to decide.

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July 24, 2026 · 9 min read

AI agent development services: what companies should expect

A clear-eyed look at what corporate teams should expect from AI agent development services: scope, timelines, deliverables, integrations, evaluation, and cost.

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July 24, 2026 · 8 min read

AI chief of staff: where an executive agent helps and where it does not

An honest look at the AI chief of staff pattern for executives: the tasks it absorbs well, the ones it should not touch, and how to design one responsibly.

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July 24, 2026 · 9 min read

AI agents for marketing teams: practical workflows beyond content generation

Where AI agents actually help marketing teams once you get past content generation: campaign ops, lifecycle, paid, research, and reporting workflows worth building.

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July 24, 2026 · 8 min read

AI workflow automation vs. AI agents: choosing the right system

How to choose between AI workflow automation and AI agents for a given problem, with a decision framework, cost implications, and governance considerations.

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July 24, 2026 · 8 min read

How to evaluate AI agent ROI before you build

A practical framework for evaluating AI agent ROI before you commit to a build, covering time absorbed, senior time freed, coverage added, and honest costs.

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