AI Application Labs
Focus on One Use-case.
We take one of your organization's current processes and apply AI automation. We build a business case and provide a compelling story for adopting AI in your organization.
Proof-of-Concept within days.
We create a working AI proof-of-concept within days, practically showcasing the power of AI Automation.
Interactive and Pragmatic.
We work together with your team members, preferably with those currently responsible for handling the operational process.
Let's get into action and practically apply AI in your organization with our AI Application Labs. Within this focused and hands-on environment, we select a use case within your organization to develop and automate. In just a few days, we craft a Proof of Concept: a live demonstration that showcases the transformative potential of AI to automate and enhance your processes, delivering an efficient and optimized operational model for your business.
Proof-of-concept: A Compelling Use-case
With our AI Application Labs, we deliver a working Proof of Concept. We also deliver a detailed business case based on our findings during the AI Application Labs, illustrating the value proposition of AI automation in your organization. Together it serves as a compelling narrative, providing your organization with a deeper insight into AI's transformative implications.
AI Application Labs: Broad Steps Overview
- Scoping and Contextualization: We begin by understanding the underlying process within your organization, identifying constraints and opportunities for AI integration.
- Process Translation: Translate current processes to identify where and what type of AI can be most effectively applied.
- Constructing Solution(s): Develop one or two potential AI-driven solutions, creating proofs of concept to explore their viability.
- Verification: Test the AI solutions to confirm they function in practice as imagined.
- Validation: Evaluate whether the AI implementation leads to a more efficient and/or less error-prone process.
- Proof of Concept Development: Build a refined Proof of Concept based on successful tests and validations.
- Business Case Construction: Develop a high-level business case that outlines the benefits and projected returns of the AI implementation.
- Stakeholder Presentation: Present findings, benefits, and the business case to stakeholders and senior management, proposing a way forward.