Value lever
23 use cases · Last updated 12 August 2026
Removes spend or labour from an existing process.
| Use case | Lever | Impact | Effort |
|---|---|---|---|
| Route maintenance logs ahead of dispatch | Cost reduction | 5/5 | 5/5 |
| Route service requests ahead of dispatch | Cost reduction | 5/5 | 4/5 |
| Extract purchase orders across sites | Cost reduction | 5/5 | 1/5 |
| Prioritise compliance checks in the back office | Cost reduction | 5/5 | 1/5 |
| Forecast service requests before approval | Cost reduction | 5/5 | 1/5 |
| Draft service requests across sites | Cost reduction | 5/5 | 2/5 |
| Detect shift schedules in the back office | Cost reduction | 4/5 | 3/5 |
| Extract compliance checks ahead of dispatch | Cost reduction | 4/5 | 4/5 |
| Extract inbound documents before approval | Cost reduction | 4/5 | 3/5 |
| Summarise purchase orders before approval | Cost reduction | 4/5 | 2/5 |
Route maintenance logs ahead of dispatch lets education 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 high effortModerate data needed
Route service requests 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
Very high impactHigh effortMinimal data needed
Extract purchase orders across sites 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
Very high impactVery low effortModerate data needed
Prioritise compliance checks in the back office 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
Very high impactVery low effortMinimal data needed
Forecast service requests before approval 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 for
Very high impactVery low effortExtensive data needed
Draft service requests across sites lets retail and e commerce 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
Detect shift schedules in the back office lets education 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
Extract compliance checks 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 impactHigh effortAdvanced data needed
Extract inbound documents 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
High impactModerate effortAdvanced data needed
Summarise purchase orders 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
High impactLow effortMinimal data needed
Supplier invoice matching lets finance teams reconcile incoming invoices against purchase orders and delivery notes automatically, by extracting line items from each document and comparing quantities, prices and totals, typically clearing most routine invoices without anyone opening them and sending only the exceptions to a person.
High impactModerate effortLow data needed
Predictive maintenance lets plant teams schedule a repair before a machine fails, by learning each asset’s normal operating signature from sensor and control data already being recorded and flagging drift toward known failure modes, typically converting a share of unplanned stoppages into planned work rather than eliminating breakdowns outright.
High impactHigh effortAdvanced data needed
Draft inventory counts during handover lets agriculture 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 impactHigh effortModerate data needed
Prioritise customer messages in the back office 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
Moderate impactLow effortExtensive data needed
Classify field notes 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
Moderate impactVery low effortModerate data needed
Prioritise field notes at intake lets agriculture 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 effortLow data needed
Reconcile customer messages 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
Low impactLow effortLow data needed
Forecast customer messages 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
Low impactLow effortAdvanced data needed
Classify claim forms 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
Low impactVery high effortMinimal data needed
Forecast customer messages at intake lets retail and e commerce 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 impactHigh effortModerate data needed
Reconcile maintenance logs across sites 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
Marginal impactModerate effortModerate data needed
Detect maintenance logs 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
Marginal impactHigh effortAdvanced data needed
Summarise supplier records 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
Marginal impactHigh effortMinimal data needed
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