The traditional enterprise AI engagement model is broken. Consulting firms deliver strategies and decks but struggle with implementation. SaaS platforms provide tools but lack the context to make them work in specific enterprise environments. The gap between AI potential and AI reality persists.
Forward-deployed engineering bridges this gap. Every Moring AI engineer is trained to embed directly with customer teams, understanding their data, their workflows, and their constraints. This isn't staff augmentation — it's a fundamentally different model of AI delivery.
The forward-deployed engineer brings two things that no platform or strategy deck can provide: deep AI expertise and contextual understanding. They can see where AI will add value, identify the data and integration challenges, and build solutions that actually work in the customer's environment.
This model also enables rapid iteration. Instead of months-long requirements gathering and specification, forward-deployed engineers can prototype, test, and refine solutions in weeks. The tight feedback loop between building and deploying accelerates learning and improves outcomes.
Combined with our platform infrastructure, forward-deployed engineering creates a powerful flywheel. Each engagement improves our platform components, which makes the next engagement faster and more effective. It's a model that compounds over time.