Value lever
25 use cases · Last updated 12 August 2026
Makes the customer-facing experience faster or clearer.
| Use case | Lever | Impact | Effort |
|---|---|---|---|
| Forecast quality reports before approval | Customer experience | 5/5 | 5/5 |
| Detect shift schedules in the back office | Customer experience | 5/5 | 1/5 |
| Prioritise inbound documents during handover | Customer experience | 5/5 | 2/5 |
| Summarise quality reports at intake | Customer experience | 5/5 | 2/5 |
| Reconcile supplier records across sites | Customer experience | 5/5 | 1/5 |
| Summarise compliance checks before approval | Customer experience | 4/5 | 3/5 |
| Classify purchase orders ahead of dispatch | Customer experience | 4/5 | 3/5 |
| Prioritise compliance checks in the back office | Customer experience | 4/5 | 3/5 |
| Automate inbound documents ahead of dispatch | Customer experience | 4/5 | 3/5 |
| Extract claim forms ahead of dispatch | Customer experience | 3/5 | 3/5 |
Forecast quality reports before approval lets construction and real estate teams do exactly that by reading the records they already hold and acting on them automatically, typically reducing handling time substantially, because teams handle this manually today which takes time and introduces avoidable errors across the working week
Very high impactVery high effortAdvanced data needed
Detect shift schedules in the back office lets energy and utilities teams do exactly that by reading the records they already hold and acting on them automatically, typically reducing handling time substantially, because teams handle this manually today which takes time and introduces avoidable errors across the working
Very high impactVery low effortModerate data needed
Prioritise inbound documents during handover lets logistics and supply chain teams do exactly that by reading the records they already hold and acting on them automatically, typically reducing handling time substantially, because teams handle this manually today which takes time and introduces avoidable errors across the working week
Very high impactLow effortExtensive data needed
Summarise quality reports at intake lets logistics and supply chain teams do exactly that by reading the records they already hold and acting on them automatically, typically reducing handling time substantially, because teams handle this manually today which takes time and introduces avoidable errors across the working week
Very high impactLow effortExtensive data needed
Reconcile supplier records across sites lets public sector teams do exactly that by reading the records they already hold and acting on them automatically, typically reducing handling time substantially, because teams handle this manually today which takes time and introduces avoidable errors across the working week for everyone
Very high impactVery low effortModerate data needed
Summarise compliance checks before approval lets energy and utilities teams do exactly that by reading the records they already hold and acting on them automatically, typically reducing handling time substantially, because teams handle this manually today which takes time and introduces avoidable errors across the working week for
High impactModerate effortAdvanced data needed
Classify purchase orders ahead of dispatch lets logistics and supply chain teams do exactly that by reading the records they already hold and acting on them automatically, typically reducing handling time substantially, because teams handle this manually today which takes time and introduces avoidable errors across the working
High impactModerate effortModerate data needed
Prioritise compliance checks in the back office lets logistics and supply chain teams do exactly that by reading the records they already hold and acting on them automatically, typically reducing handling time substantially, because teams handle this manually today which takes time and introduces avoidable errors across the
High impactModerate effortAdvanced data needed
Automate inbound documents ahead of dispatch lets media and marketing teams do exactly that by reading the records they already hold and acting on them automatically, typically reducing handling time substantially, because teams handle this manually today which takes time and introduces avoidable errors across the working week
High impactModerate effortAdvanced data needed
Extract claim forms ahead of dispatch lets healthcare teams do exactly that by reading the records they already hold and acting on them automatically, typically reducing handling time substantially, because teams handle this manually today which takes time and introduces avoidable errors across the working week for everyone
Moderate impactModerate effortExtensive data needed
Route customer messages across sites lets logistics and supply chain teams do exactly that by reading the records they already hold and acting on them automatically, typically reducing handling time substantially, because teams handle this manually today which takes time and introduces avoidable errors across the working week
Moderate impactVery low effortLow data needed
Reconcile purchase orders before approval lets logistics and supply chain teams do exactly that by reading the records they already hold and acting on them automatically, typically reducing handling time substantially, because teams handle this manually today which takes time and introduces avoidable errors across the working week
Moderate impactVery high effortExtensive data needed
Classify customer messages during handover lets manufacturing teams do exactly that by reading the records they already hold and acting on them automatically, typically reducing handling time substantially, because teams handle this manually today which takes time and introduces avoidable errors across the working week for everyone
Moderate impactVery high effortAdvanced data needed
Delivery delay forecasting lets operations teams tell a customer a shipment will be late before it is late, by scoring each consignment against historical lane, carrier and seasonal performance, typically improving arrival estimates by a modest margin and cutting the where-is-my-order contacts that follow a missed date.
Moderate impactHigh effortAdvanced data needed
Classify maintenance logs in the back office lets construction and real estate teams do exactly that by reading the records they already hold and acting on them automatically, typically reducing handling time substantially, because teams handle this manually today which takes time and introduces avoidable errors across the
Low impactLow effortModerate data needed
Extract customer messages ahead of dispatch lets energy and utilities teams do exactly that by reading the records they already hold and acting on them automatically, typically reducing handling time substantially, because teams handle this manually today which takes time and introduces avoidable errors across the working week
Low impactVery low effortExtensive data needed
Forecast quality reports at intake lets financial services teams do exactly that by reading the records they already hold and acting on them automatically, typically reducing handling time substantially, because teams handle this manually today which takes time and introduces avoidable errors across the working week for everyone
Low impactVery high effortLow data needed
Reconcile inventory counts across sites lets healthcare teams do exactly that by reading the records they already hold and acting on them automatically, typically reducing handling time substantially, because teams handle this manually today which takes time and introduces avoidable errors across the working week for everyone
Low impactVery high effortAdvanced data needed
Route claim forms ahead of dispatch lets logistics and supply chain teams do exactly that by reading the records they already hold and acting on them automatically, typically reducing handling time substantially, because teams handle this manually today which takes time and introduces avoidable errors across the working
Low impactLow effortAdvanced data needed
Forecast claim forms at intake lets manufacturing teams do exactly that by reading the records they already hold and acting on them automatically, typically reducing handling time substantially, because teams handle this manually today which takes time and introduces avoidable errors across the working week for everyone
Low impactVery low effortAdvanced data needed
Reconcile claim forms before approval lets professional services teams do exactly that by reading the records they already hold and acting on them automatically, typically reducing handling time substantially, because teams handle this manually today which takes time and introduces avoidable errors across the working week for everyone
Low impactVery low effortExtensive data needed
Forecast service requests at intake lets construction and real estate teams do exactly that by reading the records they already hold and acting on them automatically, typically reducing handling time substantially, because teams handle this manually today which takes time and introduces avoidable errors across the working week
Marginal impactModerate effortLow data needed
Automate service requests across sites lets logistics and supply chain teams do exactly that by reading the records they already hold and acting on them automatically, typically reducing handling time substantially, because teams handle this manually today which takes time and introduces avoidable errors across the working week
Marginal impactHigh effortLow data needed
Route quality reports during handover lets professional services teams do exactly that by reading the records they already hold and acting on them automatically, typically reducing handling time substantially, because teams handle this manually today which takes time and introduces avoidable errors across the working week for everyone
Marginal impactModerate effortLow data needed
Route service requests ahead of dispatch lets professional services teams do exactly that by reading the records they already hold and acting on them automatically, typically reducing handling time substantially, because teams handle this manually today which takes time and introduces avoidable errors across the working week for
Marginal impactLow effortExtensive data needed
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