Case Study

Generative AI for enterprise applications

Generative AI enables new enterprise use cases ranging from quick-win to mid-term

CamIn works with early adopters to identify new opportunities enabled by emerging technology.

Revenue:
$100 billion+
Employee headcount:
110,000+
Opportunity:
Digital services
Sponsored:
Director of innovation and emerging technologies
75
%

of CamIn’s project team comprised of leading industry and technology experts

CamIn’s expert team

CamIn team members
AI enterprise
AI sector specialists
Generative AI
31

Use cases identified

15

Use cases shortlisted

6

Technology segments assessed

Discover more opportunities in
Digital services
Contact Us
Generative AI is widely tipped as one of the most transformative technologies in decades. From drafting routine legal documents and providing customer support, to creating new, bespoke marketing materials, rarely has a technology unearthed so many potential use cases so quickly.

Ranking enterprise use cases in generative AI

But adopting generative AI models at large enterprise scale poses challenges. Companies must address the potential security issues arising from training an AI model with sensitive data. Furthermore, while there may be attractions to outsourcing some tasks to an AI, many are uncomfortable with having chatbots doing the work of professionals. And while a growing number of tasks can be outsourced to chatbots, human supervision is still required.  

Our client wanted an expert assessment of feasible use cases for corporate enterprise over the next five years. The core engagement was centered on landscaping and feasibility mapping to ensure our client could move forward with their priorities.

Roadmaps for creating solutions powered by generative AI

We assembled an expert team from industry and academia to map out six generative AI technology segments, technical overviews, associated use cases, technology effectiveness, along with future trends for areas such as enterprise departments, IT, legal, marketing and R&D.

These were then assessed against our client’s key enterprise areas to determine areas of best fit. Our experts assessed the feasibility of 31 use cases harnessing emerging generative AI products, before streamlining this long list to 15 of the use cases with the lowest barriers to adoption.  

Our analysis provided an objective assessment of the use cases with the most potential, allowing our client the chance to roadmap the best route for adopting solutions into their infrastructure.

Project Output Examples

Our analysis provided an objective assessment of the use cases with the most potential, allowing our client the chance to roadmap the best route for adopting solutions into their infrastructure.