How Hyperion approaches common AI challenges
Each playbook is a realistic scenario that shows how a Hyperion engagement is scoped, run and handed off — the methodology, the decisions, the evidence produced. They are illustrative, not accounts of specific client work.
The playbooks
Connected-Vehicle AI: From Pilot Fleet to Production Rollout
How a connected-vehicle AI feature can move from a 200-car pilot fleet to a governed, multi-market production rollout
Read the playbookManufacturing & IndustrialEU AI Act Compliance: From Zero Governance to Assessment-Ready
How an industrial manufacturer can move from fragmented AI oversight to an assessment-ready governance system before the 2 December 2027 obligations
Read the playbookEnergy & EV ChargingEV-Charging Network AI: From One Depot to an Operated Fleet
How an incident-prediction pilot can move from one charging depot to an operated, network-wide product
Read the playbookManufacturingFrom AI Pilot Graveyard to Production: a Modelled 90-Day Triage-and-Ship Scenario
How a 12-week engagement can triage a portfolio of stalled pilots and move the production-viable systems toward operation
Read the playbookManufacturing & IndustryIndustrial AI Transformation: Manufacturing Pilot-to-Production
How a representative engagement would help a manufacturer diagnose pilot purgatory and define a 90-day production path
Read the playbookLooking for a real, Hyperion-owned production system? Auralink — a Physical AI platform built in-house — is presented on the Evidence page as a reference implementation, distinct from these illustrative playbooks.
See the reference implementation on EvidenceDiscuss the playbook closest to your situation
Book a 30-minute call to walk through the engagement playbook most relevant to your initiative and how the work would run.
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