The AI Briefing

For the mid-market leader. Tuesdays, 500+ readers, no hype.

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Starting Points

Use cases, readiness and the roadmap, in the order that actually decides it.

More in Starting Points

Architecture

Agents, automation, integration, and the context engineering that decides whether any of it compounds.

More in Architecture

Cost and Return

Pricing, ROI, and what the budget looks like every year after.

More in Cost and Return

Adoption

Training, adoption, and what actually changes behavior.

More in Adoption

Ownership

Policy, risk, and how to choose a consultant who hands it over.

More in Ownership

About the AI Briefing

Everything we have written for the mid-market leader: the owner, CEO or CFO of a company of roughly 20 to 500 people who has to make AI decisions without a research team behind them. New writing lands on Tuesdays.

Common questions

Where should a mid-market company start with AI?

With a decision, not a tool. Pick one use case narrow enough to finish and visible enough that people notice it worked, then check whether the organisation will actually adopt it. Those two questions, in that order, decide more than the model you choose. More in Starting Points →

What does an AI setup actually need underneath it?

Context, mostly. An agent is only as good as what it knows about your business, which is why the same automation works in one company and fails in the next. The parts that compound are the written context, the procedures encoded around it, and the point where a human still decides. More in Architecture →

What does AI consulting cost, and what comes back?

Hourly rates run roughly $150 to $1,000 depending on the tier of firm, and engagements range from about $25K to several million. The number that matters more is the second-year one: what the system costs to run once the project is over, which is the figure most proposals leave out. More in Cost and Return →

Why is nobody using the AI we bought?

Usually because the work was never redesigned around it, so using the tool is extra effort rather than less. Adoption is a question about permission, habit and who is accountable, not about training hours. Most failures we see are human, not technical. More in Adoption →

What do you own at the end?

Everything, if the engagement is set up that way, and nothing, if it is not. Ask who holds the accounts, where the context files live, and whether the work runs after the consultant leaves. Those three answers separate a system you own from one you rent. More in Ownership →

The AI Briefing

Tuesdays. 500+ leaders. No hype, just what works.

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