About the researcher
Shah Baig
Georgetown University MPTM capstone researcher; author of the RAPID Framework, the 44-case enterprise dataset behind it, and the Task Mapper.
LinkedInWhy this work exists
Most enterprises spending money on GenAI are getting back demos and dashboards, not durable returns. The published research says so plainly:
- 95% of pilots fall short of their stated objectives
- only 22% of organisations get past proof-of-concept, and only 4% of those create substantial value
The pattern is consistent across industries and vendors - the failure is rarely the model.
RAPID exists to give individual contributors and operating leaders a research-anchored way to see where their organisation actually is before another sprint of pilot work begins, and to give them an honest map of the failure modes they are most exposed to. Free at the assessment level. The optional engagement is for teams that want to do the harder work and would like a second pair of eyes.
Current focus
Where AI investment fails
Cataloguing failure modes (data, technical, organisational, strategic, measurement, economic) from 44 verified enterprise GenAI deployments and translating them into a maturity model that spots them before they cost the business.
Adoption discipline over technology choice
Most enterprises pick the wrong fights - they tune model parameters when the actual gap is sponsorship, KPIs, or change management. RAPID surfaces the five adoption elements that predict deployment success across organisations.
Tedious, multi-system office work
Building the Task Mapper - a structured way for individual contributors to map the workflows nobody has memorised, so AI can be deployed where it actually saves time and not where it makes for a good demo.
On methodology and openness
The framework follows Design Science Research Methodology (Peffers et al., 2007). The full citation list, theoretical anchors, dataset composition, and known limitations are documented on the methodology page. The 44-case dataset is maintained as a separate, citable artifact so it can evolve independently of the website.
Working through something specific?
See the engagement structure or send a few sentences directly.