I'm Vishav Preet. Aatio Digital began in 2023 during my MBA at the University of New Brunswick, as a way to learn and build practical AI with local businesses. This site brings together my work, my experience, and what I'm learning about AI. If you're exploring AI, at work or just for yourself, I'd love to connect and swap experiences.
Prototypes, demonstration builds and free guides on AI readiness, policy and adoption, plus notes on what I'm learning along the way.
Most businesses are experimenting with AI without knowing what is safe, valuable, or ready. 88% of enterprise AI proofs of concept never reach production (IDC, 2025), and 95% of generative AI pilots fail to deliver measurable ROI (MIT, 2025), usually because the organization wasn't ready, not because the technology failed.
I explored this question in my talk, "Why AI Pilot Projects Fail", at MedTech Moncton in 2026.
I developed the AARI Framework (Aatio AI Readiness Index) as a comprehensive methodology to measure and evaluate organizational AI readiness across twelve critical domains: discovery interviews and evidence gathering, AARI scoring across twelve domains, gap and risk analysis, use case prioritization, and a 12 month roadmap.
An interactive demonstration that evaluates your answers across 10 indicative questions and generates an instant score breakdown on screen. No contact details collected.
Prototypes, demonstration builds, and practical AI applications I designed and tested to solve concrete operational problems.
A collection of practical guides on AI readiness, policy, risk governance, and sourcing frameworks that I wrote and now share freely.
I am an AI strategist and enterprise technology specialist with more than 15 years of international experience across software engineering, systems design, and technology leadership. In 2018, I was a founding member of Ako.ai, an early conversational AI company, where I began creating chatbot and voice AI systems well before generative AI became widespread. Aatio Digital began in 2023 during my MBA at the University of New Brunswick, as a way to learn and build practical AI with local businesses. Everything I build follows recognized responsible AI principles: privacy by design, bias testing, and human oversight.
If you're exploring AI, at work or just for yourself, I'd love to connect and swap experiences.