From first call to
live in production.
Enterprise buyers need to know how an engagement actually runs before they can build an internal business case. Here is the real structure — timelines, deliverables, and team composition.
Four stages, from discovery to ongoing operation.
Discovery Sprint
We map your current workflows, data architecture, and regulatory constraints. You get a clear ROI priority matrix — not a generic capabilities deck.
Pilot
We build one production-grade AI workflow end-to-end — fully governed, audit-ready, integrated with your live systems via MCP. Not a sandboxed demo.
Scale
With proof established, we extend the architecture to additional workflows and departments, consolidating governance across all live systems.
Operate
Continuous monitoring, retraining, and optimisation — either handed to your internal team with documentation, or retained as an ongoing HYVE engagement.
Choose the structure that fits how you buy.
Fixed-Scope Project
Clear deliverables, fixed price, fixed timeline — ideal for a first AI pilot or a defined compliance deadline.
Embedded Team
HYVE engineers work inside your team and sprint cadence — ideal for multi-department transformation with shifting priorities.
Outcome-Based Retainer
We agree target metrics upfront (cost saved, time reduced, accuracy gained) and remain accountable to them post-launch.