| Role in the landscape |
Operating layer for travel and fleet, above the ERP |
System of record that runs the operation: maintenance, budgets, scheduling, procurement, HR and identity |
| What it holds |
Journeys, seats, manifests, policy decisions, approvals and claims as an event stream |
The general ledger, cost centres, budgets, purchase orders and employee master records |
| Owned and leased fleet |
Native: utilisation, seat allocation, go-shows and partner asset-sharing are the core of the platform |
Transport assets appear as cost lines and maintenance objects, not as bookable inventory |
| Travel policy |
Executed deterministically at booking: entitlement, priority, quota, booking windows, penalties |
Not in the ERP; SAP's travel product is Concur, a separate system compared on its own page |
| Master data |
Consumed from SAP each day: staff profiles, budgets, currencies and balances |
Owned and maintained here; accuracy depends on the people and processes keeping it current |
| Finance postings |
Produced as governed data: for business bookings no payment executes without an approved claim number |
Received and journalled; the ledger stays the ledger |
| What reaches the posting |
Everything the tenant actually does: offline bookings, in-country payment gateways, subscription expenses and other local quirks are modelled and posted, not left outside the system |
Whatever it is sent; anything the feeding systems cannot express never reaches the ledger |
| Upstream data quality |
Designed on the assumption that the feed will sometimes be stale or wrong; discrepancies are visible with an event trail back to the source record |
As good as the master-data maintenance behind it |
| Fault tolerance |
Fault-tolerant geo-replication, right-sized per tenant, so the travel platform itself does not fail; if the ERP is down, travel still moves and postings wait. Priced by the cost per guaranteed performant transaction |
Enterprise availability as a platform; when it is down, postings and claims queue until it returns, and travel does not stop |
| Pace of change |
Continuous; a tenant's rules change as configuration of the model, not as a release project |
Managed release cycles, typically measured in months, with customisations carried through upgrades |
| Architecture |
Distributed, event-sourced, cloud-native on Microsoft Azure; work is queued and streamed |
Integrated suite on the SAP HANA in-memory database, run on-premise, in private cloud or as a cloud edition |
| Demand surges |
Designed to absorb 10 to 1000x bursts from schedule changes and crew rotations; work is queued and streamed and cost follows what runs |
Sized and licensed for peak memory, so capacity bought for the peak sits idle between peaks |
| Constrained networks |
Lean payloads and few round trips for field sites and remote camps |
Assumes reliable corporate connectivity |
| Time to deploy |
Weeks; onboarding is configuration, and the SAP connection is tailored per client |
An implementation programme; already in place at most organisations UnityTrip serves |
| Commercial model |
Subscription via the Microsoft Azure Marketplace, billable against committed Azure spend |
Enterprise licensing with infrastructure and integrator services |