Order Fulfillment / CTP is where ERP discipline either begins or breaks.
Capable-to-Promise (CTP) Check for Make-to-Order Products looks operational from far away. In a real finance team, it is a chain of assertions: the right actor started the work, the required records existed, the control policy was applied, the state change was preserved, and the outcome can be explained later without rebuilding the transaction from emails and spreadsheets.
The expected business outcome is specific: Quote delivery date accuracy above 98%; CTP-confirmed orders meeting promised date above 95%; sales cycle time reduced by 1 day through automated feasibility check
The control flow a finance team actually needs.
Step 1
CTP Response Within 2 Minutes For...
Step 2
Check Material Availability, Machine...
Step 3
Identify Binding Constraint And...
Step 4
What-If Date Simulation Without...
Step 5
Committed CTP Results Lock Capacity And...
The ERP surface involved.
Module
Order Fulfillment / CTP
Actors
Sales Engineer, CTP Engine, Production Planner, Customer
Tier
Tier 3
Finance area
Supply Chain, Demand Planning & Logistics
Region lens
US and UK finance teams
Publication date
May 16, 2026
CTP response within 2 minutes for orders with up to 50-level BOM; check material availability, machine capacity, and tooling availability simultaneously; identify binding constraint (material, machine, labor, supplier) and quantify delay; support what-if date simulation without committing resources; committed CTP results lock capacity and material for configurable hold period; integrate with quoting module to embed promised date in quote
US and UK teams have different compliance hooks, but the same control problem.
US teams usually care about clean evidence for audit support, vendor records, payment controls, tax reporting, and management review. UK teams usually care about VAT-ready records, approval evidence, digital-record discipline, and traceable postings. The country-specific details differ, but the operating pattern is the same: the ERP needs controlled records, explicit ownership, defensible state changes, and evidence that survives beyond the person who completed the task.
The control matrix.
| Control area | Requirement | Acceptance proof |
|---|---|---|
| Control 1 | CTP response within 2 minutes for orders with up to 50-level BOM | Given a configured BOM up to 50 levels deep with material availability, machine capacity, and tooling availability |
| Control 2 | check material availability, machine capacity, and tooling availability simultaneously | when a sales engineer triggers a CTP check with item config, quantity, and desired delivery date |
| Control 3 | identify binding constraint (material, machine, labor, supplier) and quantify delay | then the system returns the earliest realistic completion date within 2 minutes identifying the binding constraint (material/machine/labor/supplier) and offering alternate dates without committing resources |
| Control 4 | support what-if date simulation without committing resources | negative) when a CTP check is requested for a BOM exceeding 50 levels then the system must return 422 BOM_DEPTH_EXCEEDS_LIMIT. |
| Control 5 | committed CTP results lock capacity and material for configurable hold period | Quote delivery date accuracy above 98%; CTP-confirmed orders meeting promised date above 95%; sales cycle time reduced by 1 day through automated feasibility check |
| Control 6 | integrate with quoting module to embed promised date in quote | Quote delivery date accuracy above 98%; CTP-confirmed orders meeting promised date above 95%; sales cycle time reduced by 1 day through automated feasibility check |
Audit evidence is a chain, not a folder.
| Evidence layer | What should be preserved |
|---|---|
| Business event | A customer requests a quote for a custom configured product requiring manufacturing. The sales engineer triggers a CTP check specifying the configured BOM, quantity, and desired delivery date. The CTP engine checks material availability for all components, capacity availability on required work centers and machines across the planning horizon, and supplier lead times for long-lead items. It calculates the realistic earliest completion date considering the full manufacturing routing. If capacity or material gaps exist, the engine identifies the constraining resource and suggests alternative dates. The result is returned to the sales engineer within 2 minutes for inclusion in the customer quote. |
| Control rules | CTP response within 2 minutes for orders with up to 50-level BOM; check material availability, machine capacity, and tooling availability simultaneously; identify binding constraint (material, machine, labor, supplier) and quantify delay; support what-if date simulation without committing resources; committed CTP results lock capacity and material for configurable hold period; integrate with quoting module to embed promised date in quote |
| Acceptance proof | Given a configured BOM up to 50 levels deep with material availability, machine capacity, and tooling availability; when a sales engineer triggers a CTP check with item config, quantity, and desired delivery date; then the system returns the earliest realistic completion date within 2 minutes identifying the binding constraint (material/machine/labor/supplier) and offering alternate dates without committing resources; (negative) when a CTP check is requested for a BOM exceeding 50 levels then the system must return 422 BOM_DEPTH_EXCEEDS_LIMIT. |
| Data record | |
| System event | |
| Lifecycle state | |
The useful version of this workflow is not only fast. It is inspectable. A controller, auditor, or operator should be able to move from source event to system record to state transition to final business outcome without guessing.
Implementation contracts.
Reference data model
`ctp_inquiry` { inquiry_id: string, configured_bom_id: string, quantity: int64, desired_delivery_date: date, status: enum(PENDING/FEASIBLE/INFEASIBLE/COMMITTED) }; `ctp_result` { result_id: string, inquiry_id: string, earliest_completion_date: date, binding_constraint_type: enum(MATERIAL/MACHINE/LABOR/SUPPLIER), binding_constraint_id: string, delay_days: int, capacity_held_until: timestamp, external_id: string }; (reference, product may differ).API and events
`POST /v1/ctp/inquiries` { configured_bom_id, quantity, desired_delivery_date } -> 200 { feasible: bool, earliest_date, binding_constraint_type, alternate_dates[], inquiry_id }; `POST /v1/ctp/inquiries/{inquiry_id}/commit` -> 200 { result_id, capacity_held_until }; emits `ctp.committed` event; idempotent via `external_id`.State transitions
`PENDING -> FEASIBLE | INFEASIBLE`; `FEASIBLE -> COMMITTED`; terminal `EXPIRED` after hold period lapses; guard: COMMITTED blocked if capacity or material availability changed since inquiry.Common implementation traps.
Treating the workflow as data entry
If the ERP only stores the final record, the team loses the decision trail that explains how the record became valid.
Hiding exception logic
Exceptions need owners, reason codes, and time stamps. A vague pending state is not a control.
Posting without recovery design
Retries, duplicate submissions, and partial failures must be explicit so the system does not create inconsistent records.
Skipping evidence design
A workflow that cannot produce evidence on demand will eventually push finance teams back into manual screenshots and spreadsheets.
Where Rivane fits.
Rivane is built for finance workflows where automation must stay tied to source documents, approvals, state transitions, ledger impact, reporting, and audit evidence. Use this guide as a checklist for evaluating whether an ERP workflow is merely digitized or actually controlled.
References and source basis.
These sources provide the standards, regulatory, or government context around the flow. They are included so the guide is useful to finance operators, auditors, and implementation teams, not only buyers reading software copy.