INTRODUCING –Â
Introducing a new approach to product delivery
from Each&Other and Phased AI:
LaunchPath:AI
AI product delivery powered by cutting-edge
specialists in Customer Experience and AI Integration.
It combines rapid prototyping, technical feasibility analysis, and product validation to take concepts from discovery to deployment…
And can work alongside existing in-house product and dev teams.
Supporting the full AI product development lifecycle –Â
Rapidly develop AI product strategy and technical approach
Develop a testable proof of concept to establish feasibilty and check against customer value.
Audit data readiness, validate model feasibility, and align technical stack with product needs.
Establish model evaluation metrics, monitor performance and governance in production, and define scaling criteria.
Does any of this sound familiar?
You struggle to turn AI experiments into real business value.
Proof of concepts work, but your team can’t confidently move to production.
High-risk deployments aren't supported with a structured way to evaluate output quality, monitor model drift, or ensure regulatory compliance.
Features are launched because timelines demand it – not because they’re validated against real user need or ROI.
— Richard Skinner, CEO, Phased AI
We partner with Enterprise and Scaling Product teams to explore, design, and deliver AI technology that drives real business value.
LaunchPath:AI helps companies with:
Working with in-house teams to find where AI features and tools can build customer and business value.
Supporting companies to release innovative new products and features, efficiently, at scale, and with customer experience at the core.
Working with in-house operations and CX teams to deliver operational efficiency and better customer service experiences.
Empowering in-house teams to build world-class AI products efficiently and responsibly with the right tech stack.
Phased AI is pioneering the future of AI Operations (AI Ops).
It supports companies internationally and cross-sectorally to bring products and features to market. And it has developed its own suite of propriety AI technologies that means better implementations and better results.
Deployed in 4, 8, or 12 week sprints
With strategy, tech, and design working in concert
Design and test AI-driven experiences with real users
Technical experimentation aligned with real-world workflows
Built-in governance, responsible AI frameworks, and evaluation technologies
Full implementation support to move from prototype to production