Talk to us about our AI accelerator workshops
Evaluate your value chain to identify and prioritize AI use cases by impact and complexity, and align on steps to accelerate product and service innovation.
Deep dive into a single AI use case, focusing on defining AI's role and interaction, and designing a solution for testing and validation through a proof-of-concept (POC).
Review and prioritize your AI proof-of-concepts to identify those with the greatest likely business impact, and develop a clear roadmap to scale them into full production.
Evaluate your organization’s readiness and potential to integrate generative AI throughout the software delivery cycle.
Talk to us about an AI accelerator workshop
AI use case exploration workshop
This workshop equips leaders to strategically integrate AI into existing products and services, or explore new AI-enabled solutions. Gain actionable insights tailored to customer and industry needs, fostering problem-solving and strategic outcomes in a dynamic environment.
In two to five hours*, we’ll help your organization:
Uncover potential AI use cases by evaluating your value chain
Prioritize use cases by impact and complexity
Define next steps to accelerate product and service innovation with AI
After the workshop you will receive:
A workshop synthesis
A recommended list of AI use cases
A demo based on the use case(s) you select
AI use case shaping workshop
This workshop enables an in-depth exploration of a chosen AI use case, focusing on defining AI's role and interaction, and designing a solution for testing and validation through a proof-of-concept (POC).
In two to five hours*, we’ll help your organization:
- Define the strategic intent of building the use case as a POC along with risks and to-be state
Explore the solution by deep-diving into use case definition
Identify AI interaction models detailing the role AI will be playing in the to-be state for the defined use case
- Deep dive into the AI Agent design, including integration with existing systems and processes, AI considerations and customer persona identification
After the workshop you will receive:
- A workshop synthesis
A detailed plan for building the POC, success metrics, and path to production with prioritized next steps
A deck to share with your stakeholders with additional content
AI POC to production workshop
As AI proliferates across industries, many organizations have invested heavily in pilots aligned with specific use cases. However, a recent study reveals that approximately 90% of AI proof-of-concept (POC) pilots will not advance to production. This workshop is designed to help you identify the critical factors to transition your AI POCs to full-scale production.
In two to five hours*, we’ll help your organization:
Review your POCs and identify those most likely to deliver the greatest impact when in full-scale production
Define an evaluation process to assess the performance of your solutions
Discuss MLOps and other considerations required to support your AI solutions in production
Review the security risks and other uncertainties surfaced through your POCs
Identify partners who can help accelerate your path to AI production
After the workshop you will receive:
A workshop synthesis
- A clear roadmap and action plan to scale your AI POC(s) strategically, rapidly, and responsibly
A deck to share with your stakeholders with additional content
AI-assisted software delivery clinic
This clinic evaluates your organization’s readiness and potential to integrate generative AI throughout the software delivery cycle. Whether your team is beginning its AI journey or conducting advanced experiments, we'll meet you where you are and help you move to the next stage.
In two to five hours*, we’ll help your organization:
- Explore the use of AI across software delivery from requirements gathering and design to coding and testing to run operations and support
- Discuss measuring waste, metrics that matter, culture, privacy, security and tooling – and demonstrate some of these concepts in action
- Evaluate how to reduce waste and accelerate value
After the workshop you will receive:
- A workshop synthesis
- A recommended list of AI use cases in end-to-end software delivery and concrete prioritized next steps
- A deck to share with your stakeholders with additional content
Explore AI Insights
A study reveals that up to 90% of AI and GenAI projects stall in the POC phase, highlighting the need for iterative strategies, robust engineering, and operational adaptation to transition to scalable solutions.
Generative AI (GenAI) is revolutionizing product development, accelerating innovation, and reshaping industry landscapes. Discover its transformative potential and the strategic considerations for integrating AI into every stage of the product lifecycle.
Generative AI is reshaping software development, offering both productivity gains and challenges. Gain insights on leveraging AI beyond code generation to enhance innovation cycles and speed to market, while navigating risks like bias and privacy concerns effectively.
Meet Andy Nolan, Director of Emerging Technologies for APAC at Thoughtworks
Andy Nolan is the Director of Emerging Technologies for the APAC region at Thoughtworks. With over 20 years of experience, he has a strong background in developing and deploying technologies. Andy holds a Master in Computer Vision and Artificial Intelligence from the Universitat Autònoma de Barcelona, a Master of Philosophy in Environmental Engineering from the University of Melbourne, and a Bachelor in Computing from Monash University. Certified in geospatial analysis, deep learning, and drone piloting, Andy is dedicated to creating positive social and environmental impact through emerging technologies.
Some of our AI partners
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.
Databricks is the data and AI company. The Databricks Platform is the world's first data intelligence platform powered by generative AI and allows your entire organization to use data and AI. It’s powered by a Data Intelligence Engine that speaks the language of your organization so anyone can access the data and insights they need.
Redactive removes the specialist data engineering knowledge that developers need to learn, implement and maintain to build scalable and secure AI-enhanced experiences for your customers or productivity use cases for your employees. With responsible AI adoption at its core, Redactive addresses the unique security and data privacy challenges large organizations face when accelerating their GenAI journey.