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DigyAi Insights

What it takes to run a company on AI.

Sourced analysis on the cost, risk and engineering of enterprise AI, from the engineers who build it.

32 analyses1147 linked sourcesReviewed October 2026

Each figure is a gap between AI in a pilot and AI in production. Closing it is what we engineer.See what we build

Featured

Where to start

An AI agent on its own tower reads web pages, email and tool text from an island outside; every action it plans passes through a lit policy engine, which lets calls to the company's systems through and stops a call to send data out at a lowered barrier. A kill switch is wired to the agent at the front.

Security, risk and compliance

AI Agent Security: The Threat Model and Controls a CISO Should Require

An AI agent reads content an attacker can write and acts with authority someone delegated to it.

13%of organizations studied reported a breach of an AI model or applicationIBM, 2025

Guide 16 min readReviewed Sep 2026

Your own cases, stored in a golden-set archive, run through your system to a release gate whose board shows every segment against a threshold its owner signed in advance; one segment falls short and the gate holds, then the rerun clears the line and the release crosses a bridge to production.

LLM and RAG engineering

LLM and AI Agent Evaluation: How to Prove a System Is Ready to Ship

Public benchmarks tell you what a model can do on someone else's questions.

84% → 51%one model's accuracy on the same task, three months apartChen et al., 2023

Guide 16 min readReviewed Sep 2026

An AI system with its disclosure screen live sends each release down a lane through a release gate, which holds back one failing release, and every release that passes adds a leaf to a tall technical file. A bridge carries the sealed file to a building on its own island, December 2, 2027, when the high-risk obligations begin.

Security, risk and compliance

EU AI Act Compliance in 2026: What the Omnibus Changed and What Is Due Now

The Digital Omnibus on AI moved the high-risk deadlines and left the transparency duties where they were.

7%of worldwide turnover, the maximum fine for a prohibited practiceEU AI Act

Analysis 17 min readReviewed Sep 2026

The library

Every analysis, one question each.

Why trust this research

Written from production, held to an engineering standard.

  • Linked to the source. Every figure links to the publisher that measured it, so any number can be checked in one click.
  • Dated and re-checked. Each analysis carries the day it was published and the day every figure and link was last checked.
  • Written by builders. DigyAi's engineers write from systems they design, build and run for clients.
  • Independent. No sponsored content. No vendor pays to appear or to be recommended.
See every case study

1147 sources370 publishersReviewed Oct 2026

The library's citations, drawn. Each line joins an analysis, on the inner ring, to a publisher it cites, on the outer ring.

  • Regulators and public bodies10 · 84 citations
  • Standards bodies and open projects13 · 48 citations
  • Research institutions4 · 150 citations
  • Analysts, industry and press343 · 865 citations

Get in touch

Tell us what you are building.

Write it as big as you imagine it.

7 answers, on the record

What leaders ask before they rely on our research.

The research

Who writes DigyAi Insights?

DigyAi's engineers write every analysis, from the systems they design, build and run for clients. The same engineers have run AI and platforms in production at scale: an AI support assistant that cut support tickets by 90% and backends serving 40,500 requests a minute. The case studies are on the Work page.

How are the figures in DigyAi Insights sourced and checked?

Every figure links to the publisher that measured it: regulators, standards bodies, research institutions and industry analysts. Each analysis shows the day it was published and the day every figure and link was last checked, and it lists its sources in full at the end.

How often are the analyses reviewed?

Each analysis is re-checked when a law, standard or figure it relies on changes, and its reviewed date moves with that check. The date at the top of every article is the last day each figure and link in it was verified.

Is any of this research sponsored?

No. No vendor pays to appear in DigyAi Insights or to be recommended in it. The analyses weigh approaches on evidence, and where a product or protocol is named, it is named for what it does.

Using it

Can we use these figures in a board paper?

Yes. Cite the original publisher, which is linked beside each figure and listed in the article's sources, and link the analysis if it helped. The figures belong to the organizations that measured them.

Where should a leader new to enterprise AI start?

Start with the analysis that matches the decision in front of you. For budget, read what drives AI agent cost and how to calculate AI ROI. For risk, read AI agent security and the EU AI Act guide. For a first system, read how to prove an AI system is ready to ship.

Can DigyAi answer a question the library does not cover?

Yes. Write to us with the decision you are facing and the systems involved. You get a specific answer, or the questions that will scope one.

Not answered here? Two lines are enough.

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