Approach

Our Approach

Our workshop model is the foundation of our solution-centric approach to AI. It helps us partner with clients in an integrated way to ensure that any analytics or AI solutions are all driving towards one objective: generating actionable insights that help to solve business challenges and drive success.

Business + User Research
01
Business + User Research
Before the workshop, we conduct a deep exploration of your business and customers or end-users.
User Journey Mapping
02
User Journey Mapping
We start by mapping out the end-to-end user journey from awareness to first-touch to on-going use and support.
Pain Points + Opportunities
03
Pain Points + Opportunities
We then identify pain points across the journey and key opportunities and data needs to consider.
Brainstorming + Use Cases
04
Brainstorming + Use Cases
Through a series of design thinking exercises, we conceptualize and converge on possible solutions.
Output

Categorizing Ideas

Following the workshop, we will categorize the opportunities across a matrix of considerations. This helps to identify the low-hanging fruit that will provide the most bang-for-your-AI-buck. We can also help to identify infeasible projects that could lead to years of wasted effort and expense.

Chart for Project Considerations

There wasn't any hope of a simple method to solve our problem. What we got was an astonishingly elegant solution. We are true believers now.
Data Management Director at Pharmaceutical Company Read Case Study
Thoughts

AI Thoughts + Insights

Case Study
Product Classification for a Global Tax Software Company
Helping one of the largest e-commerce platforms in the world figure out if there was an automated, scalable way to classify the product to collect the appropriate sales tax.
Product Classification for a Global Tax Software Company
Case Study
Data Linking for a Noisy, Huge Dataset
Urvin was approached by a firm who needed to process petabytes of noisy data with a reasonable hardware footprint and processing time.
Data Linking for a Noisy, Huge Dataset
Case Study
Pharmaceutical Prediction for FDA Phase 3 Trial
A pharmaceutical company about to begin an FDA Phase 3 trial needed to find a partner who could make predictions on a small, very noisy dataset with confidence.
Pharmaceutical Prediction for FDA Phase 3 Trial