Case Study

Accelerating AI Data Extraction Use Case

How do you guide technology and business teams to deliver natural & meaningful AI experiences for existing product users?

Challenges

Understanding current state to determine priority and focus

01

Business & technology team
struggled to create meaningful PoC’s on various AI use cases

02

Previous efforts were being driven only from a technology view, not a human-centric view

03

Participating team members had varied understanding of AI principles, governance, ethics

04

Lacking a Go-to-Market strategy to entice customer decision makers

05

Working team was unclear on the various persona roles & key challenges in the lifecycle

06

Needed to quickly build trust with customers in order to use real data to train AI models & create benchmarking

Testimonial
5.00

“I wish we would have included this approach sooner…the framework guided the team to structure all collective thoughts and ideas so we could actually make decisions. Without it, the team would have kept spinning wheels.”

Ravi Dangeti
Senior Director Technology Strategy
Results

Outcomes that moved the business

Demonstrating value, accelerating innovation, building executive and customer confidence in the investment.
66%

Average increase in velocity over 3 mo

Previous 4 AI efforts stalled for 9 months prior. This was the first time the innovation and product teams were aligned on specific personas, business cases, narrative, G2M strategy.
80%

Reduction in persona steps

Early indicators of reduction in persona steps and time on task from 25+ steps to 5 steps
8.4

Out of 10 for Persona Impact

Customers validated prototypes and provided a confidence score based on the impact to the persona demonstrating early indicator to invest
9.2

Out of 10 for Business Impact

Customers validated prototypes and provided a confidence score for impact with the business demonstrating early indicator to invest.
Communication is good

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