DragonAI is how Dragon Horse puts artificial intelligence to work inside a business: proprietary analysis that reads a company and its industry against a fixed framework, agentic workflows that take real work off your team, and the consulting that makes both stick. AI is an instrument. Someone still has to fly the aircraft.
Most AI advice arrives as confident paragraphs with nothing behind them. DragonAI is built the other way round. A reputable model does the reading and reasoning; the framework, the scoring and the guards are ours. Every figure we put in front of you is labelled by how we know it — your own data, a named public source, a derivation we show you, or an industry assumption. When a third of an analysis is assumption, the report says so on its face rather than hiding it behind a confident number.
Nothing here starts with a tool. It starts with a scored read of where the business is, because until that exists every AI decision is a matter of opinion and whoever is most confident in the room wins.
We run your company and its industry against 58 defined metrics across eight weighted domains. You get a score, the reasoning behind each domain, and a list of what we could not establish. Every figure carries a label saying how it is known: your own data, a named public source, a derivation we show you, or an industry assumption. The proportion that is assumption is printed on the report rather than buried in it.
From the read we produce a short, costed, ordered list of what is worth doing with AI and what is not. Usually it is fewer things than clients expect, and the list of what to leave alone is the part that saves the most money. This is AI consulting, and it is deliberately separate from building anything.
Some items on the shortlist are systems, and those become agentic workflows with a human at the approval point. Others are not systems at all, they are people who need to get better at a tool they already have, and those become AI Aviators training sessions run by function. Most engagements need both, and knowing which is which is the whole point of doing the read first.
A quarter later we run the read again and compare. Scores that moved, scores that did not, workflows still running, workflows quietly abandoned. Because the framework is fixed, the second read is directly comparable to the first, which is the only honest way to answer whether any of it worked.
It is not a software product you license, and there is no seat to buy. It is not a resale arrangement: we take no commission from any AI vendor, so the recommendation to keep what you have and train your people on it costs us the same as the recommendation to build something. And it is not a replacement for judgment. The analysis narrows the field and shows its working; the decision is still yours, and the aircraft still needs a pilot.
DragonAI sits alongside two other pillars. DragonONE is the strategy, brand and creative foundation; DragonIQ is the demand and visibility layer. AI is applied inside both rather than sold as a thing of its own.
Explore DragonONE →Explore DragonIQ →Your company and its industry read against 58 defined metrics across eight weighted domains, scored the same way every time.
Custom workflows that take repetitive work off your team and hand it back done, with a human at the approval point.
Where AI earns its keep in your business and, more usefully, where it does not. Written down, costed, prioritised.
Hands-on training for your people, in your own tools, on your own live work. Small groups by function, and they leave able to do the thing.
Marketing and operational data turned into decision-ready reporting on a schedule, instead of a scramble each month.
What goes into a model and what never does, who reviews what, and the record you keep. Agreed before anything ships.
AI wired into the systems you already run, so it becomes part of the operating model rather than another tab nobody opens.
We will run a DragonAI read on what you can share and show you the scored position, along with the questions we still have.
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