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Get your ultimate guide on Generative AI use cases and applications

Elevate your enterprise success through Generative AI consulting

Generative AI can radically boost efficiency, spark creativity, and bolster operational performance, provided the correct measures and regulations are enforced. Maximizing the technology’s potential while minimizing its risks will require ongoing research, development, and open discussion. As we pioneer into the AI era, our mission is to empower our clients to leverage the boundless potential of generative models in shaping their digital future.

As a company with significant experience in delivering top-notch AI projects, we can help you:

• Supercharge your workflow by automating and accelerating diverse tasks

• Enhance offerings with unique product customization and co-creation
• Improve customer satisfaction through elevated personalization
• Overhaul operational efficiency, cut costs, and enhance returns
• Propel innovation, paving the way for sustained growth

67%

of occupations could be partially automated by generative AI advances

45%

faster software development with generative AI coding support

30%

of new drugs and materials will be systematically discovered using generative AI by 2025

60%

of the design effort for new websites and mobile apps will be automated with generative AI

P2P review platform

Our client, a front-runner in the global technology marketplace, presents a unique platform for software comparison. With a 60M annual user base, the platform enables users to submit reviews on various software categories

• Industry: Technology

• Location: USA
• Partnership period: 2021 – present

Challenge

The client aimed to introduce aggregate product reviews to improve their SEO. The critical challenge was the selection of an optimal summarization algorithm that ensured coherent results while avoiding data loss. The goal was to derive a deterministic structured output from a large language model (LLM) while limiting the number of words processed at a time.

Value

developed an OpenAI-based solution that produced structured aggregate reviews containing each product’s general information, pros, and cons. The solution was tested on 50 product reviews across 30 categories from the past six months, with results fine-tuned based on client feedback.

This solution provided the client independence from third-party review services, automated review generation, and ensured scalability for larger data volumes. The GPT LLM yielded higher quality output than smaller NLP models and was quicker to implement than custom language models. This reduced the cost of testing the client’s hypothesis and could enhance their SEO if it proved correct.

Global ecommerce solution provider

Located in Germany, our client offers comprehensive e-commerce and subscription management solutions, adeptly monetizing digital products, online services, and SaaS in diverse sectors. Their cloud-based e-commerce platform is an elegant solution to recurring billing, customer experience optimization, and a one-stop shop for global compliance and payment needs.

Challenge

Our client wanted to lower their customer churn rate and increase the Customer Lifetime Value (CLTV) by adopting Machine Learning (ML) for predicting subscription churn and guiding communication strategies. They also required the use of Generative AI to craft appropriate marketing content.

Value

developed and set up an ML system for our client that enabled the smooth integration of ML models, with MLOps techniques supporting constant operations and service. We established a specific multi-tenant ML solution that predicts subscription churn and bolsters this with AI algorithms to suggest effective communication tactics.

We aided the client in automating marketing responses for groups identified by churn likelihood.  work improved retention through a data-centric approach, faster content creation, and less reliance on manual tasks. This led to more personalized and efficient customer experiences.

P2P review platform

Our client, a front-runner in the global technology marketplace, presents a unique platform for software comparison. With a 60M annual user base, the platform enables users to submit reviews on various software categories.

• Industry: Technology
• Location: USA
• Partnership period: 2021 – present

Challenge

The client aimed to introduce aggregate product reviews to improve their SEO. The critical challenge was the selection of an optimal summarization algorithm that ensured coherent results while avoiding data loss. The goal was to derive a deterministic structured output from a large language model (LLM) while limiting the number of words processed at a time.

Value

developed an OpenAI-based solution that produced structured aggregate reviews containing each product’s general information, pros, and cons. The solution was tested on 50 product reviews across 30 categories from the past six months, with results fine-tuned based on client feedback.

This solution provided the client independence from third-party review services, automated review generation, and ensured scalability for larger data volumes. The GPT LLM yielded higher quality output than smaller NLP models and was quicker to implement than custom language models. This reduced the cost of testing the client’s hypothesis and could enhance their SEO if it proved correct.

Global ecommerce solution provider

Located in Germany, our client offers comprehensive e-commerce and subscription management solutions, adeptly monetizing digital products, online services, and SaaS in diverse sectors. Their cloud-based e-commerce platform is an elegant solution to recurring billing, customer experience optimization, and a one-stop shop for global compliance and payment needs.

Challenge

Our client wanted to lower their customer churn rate and increase the Customer Lifetime Value (CLTV) by adopting Machine Learning (ML) for predicting subscription churn and guiding communication strategies. They also required the use of Generative AI to craft appropriate marketing content.

Value

developed and set up an ML system for our client that enabled the smooth integration of ML models, with MLOps techniques supporting constant operations and service. We established a specific multi-tenant ML solution that predicts subscription churn and bolsters this with AI algorithms to suggest effective communication tactics

We aided the client in automating marketing responses for groups identified by churn likelihood. work improved retention through a data-centric approach, faster content creation, and less reliance on manual tasks. This led to more personalized and efficient customer experiences.

P2P review platform

Our client, a front-runner in the global technology marketplace, presents a unique platform for software comparison. With a 60M annual user base, the platform enables users to submit reviews on various software categories.

• Industry: Technology
• Location: USA
• Partnership period: 2021 – present

Challenge

The client aimed to introduce aggregate product reviews to improve their SEO. The critical challenge was the selection of an optimal summarization algorithm that ensured coherent results while avoiding data loss. The goal was to derive a deterministic structured output from a large language model (LLM) while limiting the number of words processed at a time.

Value

developed an OpenAI-based solution that produced structured aggregate reviews containing each product’s general information, pros, and cons. The solution was tested on 50 product reviews across 30 categories from the past six months, with results fine-tuned based on client feedback.

This solution provided the client independence from third-party review services, automated review generation, and ensured scalability for larger data volumes. The GPT LLM yielded higher quality output than smaller NLP models and was quicker to implement than custom language models. This reduced the cost of testing the client’s hypothesis and could enhance their SEO if it proved correct

Gen AI WorkshopRapid prototyping & ValidationSolution design & Prepare to scaleImplementation & EmpowermentOngoing Optimization

Goal

Understand the unique needs and pain points where Gen AI can bring max ROI and ensure the Gen AI readiness

Average duration:

up to 6 workshops

What we do

• Identify and qualify Gen AI Use Case
• Define vision, priorities and success criteria
• Gen AI Readiness
• Gen AI Education

Rapid prototyping & ValidationSolution design & Prepare to scaleImplementation & EmpowermentOngoing Optimization

Goal

Understand the unique needs and pain points where Gen AI can bring max ROI and ensure the Gen AI readiness

Average duration:

up to 6 workshops

What we do

• Identify and qualify Gen AI Use Case
• Define vision, priorities and success criteria
• Gen AI Readiness

Gen AI Education

Reference team

• Gen AI Engineer
• Project Manager
• Product manager
• Learning expert
•  

Goal

Test the idea and tweak with real-life feedback, ensuring each step delivers enhanced business value

Average duration:

2-8 weeks

What we do

• Identify and qualify Gen AI Use Case
• Define vision, priorities and success criteria
• Gen AI Readiness
• Gen AI Education

Reference team

• Gen AI Engineer
• Project Manager
• Software Engineer(s)
• UX/UI Designer

Reference team

• Gen AI Engineer
• Project Manager
• Product manager
• Learning expert

Goal

Test the idea and tweak with real-life feedback, ensuring each step delivers enhanced business value

Average duration:

2-8 weeks

What we do

• Identify and qualify Gen AI Use Case
• Define vision, priorities and success criteria
• Gen AI Readiness

Gen AI Education

Reference team

• Gen AI Engineer
• Project Manager
• Software Engineer(s)
• UX/UI Designer

Goal

Based on the needs, budget, timeframe, define solution vision, roadmap, architecture

Average duration:

2-4 weeks

What we do

• Outline a strategic roadmap for generative AI implementation
• Define Architecture vision

Reference team

• Gen AI Engineer
• Project Manager
• Solution Architect
• Business Analyst

Goal

Seamlessly implement and deploy GenAI solutions, ensuring they are fully operational and ready for end-users to drive impactful results from Day One

Average duration:

2-4 months

What we do

• Develop solution
• Integrate the validated model
• Train the team to work with the new technology

Reference team

• Gen AI Engineer
• Project Manager
• Solution Architect,
• Software Engineer(s)
• DevOps Engineer,
• Business Analyst,
• Quality Assurance Engineer

Goal

By continuously tracking outcomes and adapting to new insights and market shifts, keep your business ahead of the curve

Average duration:

on-demand

What we do

• Learn from real user feedback
• Fine tuning
• Prompt Engineering
• Monitor and Observe

Reference team

• Gen AI Engineer
• Project Manager
• Support Engineer(s)

 Solution design & Prepare to scaleImplementation & EmpowermentOngoing Optimization

Goal

Understand the unique needs and pain points where Gen AI can bring max ROI and ensure the Gen AI readiness

Average duration:

up to 6 workshops

What we do

• Identify and qualify Gen AI Use Case
• Define vision, priorities and success criteria
• Gen AI Readiness
• Gen AI Education

Reference team

• Gen AI Engineer
• Project Manager
• Product manager
• Learning expert

Goal

Test the idea and tweak with real-life feedback, ensuring each step delivers enhanced business value

Average duration:

2-8 weeks

What we do

• Identify and qualify Gen AI Use Case
• Define vision, priorities and success criteria
• Gen AI Readiness
• Gen AI Education

Reference team

• Gen AI Engineer
• Project Manager
• Software Engineer(s)
• UX/UI Designer

Goal

Based on the needs, budget, timeframe, define solution vision, roadmap, architecture

Average duration:

2-4 weeks

What we do

• Outline a strategic roadmap for generative AI implementation
• Define Architecture vision

Reference team

• Gen AI Engineer
• Project Manager
• Solution Architect
• Business Analyst

Implementation & EmpowermentOngoing Optimization

Goal

Understand the unique needs and pain points where Gen AI can bring max ROI and ensure the Gen AI readiness

Average duration:

up to 6 workshops

What we do

• Identify and qualify Gen AI Use Case
• Define vision, priorities and success criteria
• Gen AI Readiness
• Gen AI Education 

Reference team

• Gen AI Engineer
• Project Manager
• Product manager
• Learning expert

Goal

Test the idea and tweak with real-life feedback, ensuring each step delivers enhanced business value

Average duration:

2-8 weeks

What we do

• Identify and qualify Gen AI Use Case
• Define vision, priorities and success criteria
• Gen AI Readiness
• Gen AI Education

Reference team

• Gen AI Engineer
• Project Manager
• Software Engineer(s)
• UX/UI Designer

Goal

Based on the needs, budget, timeframe, define solution vision, roadmap, architecture

Average duration:

2-4 weeks

What we do

• Outline a strategic roadmap for generative AI implementation
• Define Architecture vision

Reference team

• • Gen AI Engineer
  • Project Manager
  • Solution Architect
  • Business Analyst

Goal

Seamlessly implement and deploy GenAI solutions, ensuring they are fully operational and ready for end-users to drive impactful results from Day One

Average duration:

2-4 months

What we do

• Develop solution
• Integrate the validated model
• Train the team to work with the new technology

Reference team

• Gen AI Engineer
• Project Manager
• Solution Architect,
• Software Engineer(s)
• DevOps Engineer,
• Business Analyst,
• Quality Assurance Engineer

Ongoing Optimization

Goal

Understand the unique needs and pain points where Gen AI can bring max ROI and ensure the Gen AI readiness

Average duration:

up to 6 workshops

What we do

• Identify and qualify Gen AI Use Case
• Define vision, priorities and success criteria
• Gen AI Readiness
• Gen AI Education

Reference team

• Gen AI Engineer
• Project Manager
• Product manager
• Learning expert

Goal

Test the idea and tweak with real-life feedback, ensuring each step delivers enhanced business value

Average duration:

2-8 weeks

What we do

• Identify and qualify Gen AI Use Case
• Define vision, priorities and success criteria
• Gen AI Readiness
• Gen AI Education

Reference team

• Gen AI Engineer
• Project Manager
• Software Engineer(s)
• UX/UI Designer

Goal

Based on the needs, budget, timeframe, define solution vision, roadmap, architecture

Average duration:

2-4 weeks

What we do

• Outline a strategic roadmap for generative AI implementation
• Define Architecture vision

Reference team

• Gen AI Engineer
• Project Manager
• Solution Architect
• Business Analyst

Goal

Seamlessly implement and deploy GenAI solutions, ensuring they are fully operational and ready for end-users to drive impactful results from Day One

Average duration:

2-4 months

What we do

• Develop solution
• Integrate the validated model
• Train the team to work with the new technology

Reference team

• Gen AI Engineer
• Project Manager
• Solution Architect,
• Software Engineer(s)
• DevOps Engineer,
• Business Analyst,
• Quality Assurance Engineer

Goal

By continuously tracking outcomes and adapting to new insights and market shifts, keep your business ahead of the curve

Average duration:

on-demand

What we do

• Learn from real user feedback
• Fine tuning
• Prompt Engineering
• Monitor and Observe

Reference team

• Gen AI Engineer
• Project Manager
• Support Engineer(s)