We help businesses find exactly where AI creates real leverage — then build it in, together, until it works.
There's a paradox at the heart of AI adoption right now: the businesses that most need the time savings don't have the time to figure out how to get them. Cradic AI exists in that gap — curious enough to find the real opportunity, practical enough to build it in, and honest enough to tell you when something isn't worth doing.
We work the way a good collaborator does — curious about your business, generous with what we know, and committed to seeing it through. We don't hand you a document and disappear. We stay until the systems are running and your team genuinely owns them.
AI doesn't change what your business does. It changes how efficiently your business works. Each efficiency gain creates capacity for better thinking — and better thinking finds better opportunities.
We identify where across your business AI creates real, measurable leverage. Six domains. Every one of them practical.
Examples of AI embedded in actual workflows. All anonymised. The pattern is consistent — outcomes measured in intelligence, quality, and speed, not just time saved.
Most AI advice today falls into two camps: too abstract to act on, or too technical for the people who actually run the business.
But when AI is applied well, something different happens. Work changes. Decisions get faster. Capability expands.
Nick McGrath saw this firsthand. After 25 years building and running businesses across manufacturing, ecommerce, and services, he came to AI the way operators approach any new capability — by testing it inside real work.
What emerged from that process became the CRADICS framework: a practical way to identify where AI creates real leverage in a business, and then build those systems into the organisation without disruption.
Cradic AI exists to help operators do exactly that. If you run a business and want clear answers and a practical path forward, this work is built for you.
Not a pitch. Just an honest conversation about your business, where the friction is, and where AI might genuinely help. Bring your questions. Leave the jargon at the door.