Generative AI is driving a paradigm shift in digital transformations. It’s creating myriad use cases across industries, from healthcare to financial services.

Success requires action, learning, and overcoming Gen AI’s unique challenges.

Generative AI Accelerator

From prototypes to solutions, drive generative AI success in your organization

Accelerate value capture throughout your generative AI journey

Case study: From innovation lab to production pilot

Overcoming the unique challenges of enterprise Gen AI


A global services firm with over 100,000 employees


Our client's early Gen AI prototype showed promise for reducing manual labor. However, the path from lab to production was unclear; without AI-specific DevOps, tuning traceability, and user-feedback workflows, the team was stalled.


In less than 12 weeks, Elephant deployed an OpenAI-powered proof of concept on serverless Azure infrastructure. Scalability, compliance, and security were key focus areas. Leveraging Elephant’s expertise, tools were created to solve for traceability, tokenization-logic and embedding optimization, and ongoing user feedback at scale.


The production-minded proof of concept confirmed feasibility, and the Gen AI solution was approved for a production pilot. Azure Active Directory SSO provided enterprise-grade security controls. Chunking optimization achieved a 75% cost reduction in OpenAI costs. Traceability and self-service user feedback tools sped up progressive trials by 60% for Product and Engineering.

What our Clients say:

Elephant’s process was impressive to watch. They were able to come in, observe, orient, and build out a clear action plan in a matter of days. Inside a month they were executing on clearly defined and substantive sprints. I’ve never seen a group show up with this level of rigor and efficiency — a testament to both the team and the process they bring to the table.


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