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Problems We Solve

Symptom-first guides. If something specific is going wrong with AI in your organization — agents with too much access, data walking out to frontier labs, costs that exploded, answers you cannot trust — start here.

6 articles
Problems We Solve

Employees Are Pasting Company Data Into ChatGPT — What to Do

A practical response to unsanctioned AI use that does not rely on blocking — measure it, provide a fast sanctioned path, and write a policy people can actually follow.

4 min read →
Problems We Solve

How to Protect Your Company Data From Frontier AI Labs

What actually happens to data you send to a model provider, which contractual and architectural controls matter, and how to use frontier models without giving away your advantage.

4 min read →
Problems We Solve

You Can't Tell If Candidates Are Using AI in Interviews

Why screen sharing and lockdown browsers cannot see real-time AI assistance, what detection actually requires, and how to decide your policy before you buy tooling.

4 min read →
Problems We Solve

Your AI Agents Have Too Much Access — How to Fix It

Agents are routinely deployed with the permissions of whoever built them. Here is how to find the over-permissioned ones, scope them down, and put a policy boundary in front of consequential actions.

5 min read →
Problems We Solve

Your AI Costs Exploded — How to Get Them Back Under Control

A triage procedure for runaway AI spend: find where the cost actually is, apply the fixes in order of return, and put the guardrails in that stop it recurring.

4 min read →
Problems We Solve

Your RAG System Gives Wrong Answers — How to Diagnose It

A diagnostic procedure for RAG failures. Almost all of them are retrieval failures, not model failures — here is how to prove which stage is broken before you waste weeks on prompts.

4 min read →
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