Despite the way that AI is reshaping industries, over 80% of AI projects fail. That’s why we start by evaluating readiness, particularly of your data and automation layers, and guiding you through the discovery process with our AI Discovery Workshop. With this structure, we help you avoid common mistakes so you can take the plunge of AI transformation with the confidence you need to successfully innovate and achieve meaningful outcomes.
This workshop is the first step of Marlabs’ AI Evolution Framework, which guides enterprises from vision to victory by aligning AI initiatives with strategic goals — whether that’s accelerating innovation, optimizing operations, or enhancing customer experiences. To transform our clients into AI-empowered enterprises, we assess readiness, develop proofs of concept, and establish AI Centers of Excellence to ensure sustainable and scalable impact. Our approach isn’t about deploying AI for its own sake; it’s about embedding intelligence where it matters most.

There’s so much hype about AI in the market that it’s hard to decipher what’s real and what’s exaggerated. Our AI Discovery Workshop helps you understand how AI can be applied realistically to meet your business challenges. The process:
Explains the truth about AI capabilities and what it takes to use them
Empowers you to identify and capitalize on AI opportunities
Determines if specific use cases are worth the investment for your company
Combines education, industry expertise, and a structured approach to AI




Increase Efficiency & Productivity
Focus on operational costs, margins, and profitability
Customer support and service automation
Knowledge management and document-heavy workflows
Statistical and predictive analytical data models
Report generation
Co-pilots and AI agents
Software development workflows
Accelerate Products & Service Innovation
Focus on core offerings and new revenue opportunities
Research & analysis
Generative design and simulations, prototyping and proofs of concept (R&D workflows)
Product development lifecycle workflows
Deeper customer insights for sales and marketing
Improve Customer Experience
Focus on delivering ultimate value to customers
Intelligent customer support
Next best actions
Personalization
Self service experiences
Customer-facing co-pilots and AI agents
Organizations often underestimate the prep time needed for setup and specialization to ensure an AI model will successfully perform the work intended. Other common challenges we help clients solve include:
Lack of Resources
To overcome this challenge, businesses must invest in research and development and prioritize innovation.
Fear of Failure
Businesses must foster a culture of experimentation and learning while also gaining confidence by mitigating risks.
Resistance to Change
Organizations must communicate the benefits of change and involve stakeholders in the decision-making process.
Misconception of AI as Technology Only
Implementing AI is an organizational and cultural change that encompasses people and process along with the technology.
Microsoft Fabric with Co-Pilot AI is an end-to-end analytics and data platform that unifies your data and AI initiatives. Through platforms like Azure AI Foundry and Copilot Studio, we leverage Microsoft’s advanced AI capabilities to create sophisticated multi-agent workflows that enhance productivity.

Our partnership with Databricks allows us to unify data engineering, ML development, and real-time analytics on a single platform. This allows it to power a data intelligence engine that understands the unique semantics of your data with accelerated AI solution development and continuous model refinement.

By integrating AI agents with Salesforce, including through Salesforce’s Einstein and Agentforce, we enhance CRM capabilities, transform customer interactions, and drive business growth. We offer features like lead conversion prediction, chatbots for customer service, and personalized product recommendations.

Google Cloud’s AI platform simplifies AI agent building and the end-to-end machine learning workflow. Google AI allows developers to build, train, and deploy models and agents more efficiently and with a maximum of control and governance.

Our collaboration with AWS enables cloud-native AI deployments to ensure scalability and flexibility for your digital workforce. AWS provides a wide range of AI services, including machine learning, natural language processing, and computer vision, which can be easily integrated into applications.

By harnessing the Snowflake AI Data Cloud, we enable real-time data access and sharing across business units and partners. Our AI agents can tap into governed, high-quality data directly within Snowflake to deliver personalized insights and automate complex decisions.
Our data-driven approach to AI, along with our experience, expertise, partnerships, and proven methodology for AI adoption will drive innovation and continued transformation.
AI Experience
AI development
AI proof of concepts
AI discovery & education
AI Centers of Excellence
AI Process
AI discovery and strategy
AI service disciplines, focused on outcomes
Our AI Evolution Framework
AI Perspective
AI is transformative but misrepresented.
AI isn’t just tech, but a new business function.
A classic data foundation is necessary for AI.
AI Partners
Microsoft Fabric
Databricks
Salesforce
Google AI
AWS
Snowflake