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When ERP works

ERP is the right tool for specific use cases

The comparison is not a verdict on the alternative. It is a precise statement about where its design assumptions break down.

Recording and processing approved expenditure

Once a workforce or services decision has been correctly made, the ERP is the appropriate system for purchase order creation, invoice processing, and cost allocation. Financial record-keeping is a core ERP function.

Reporting on committed and actual workforce spend

Programme-level spend visibility, budget variance analysis, and cost centre reporting are native ERP capabilities. The data quality depends entirely on whether the upstream decisions that generated the costs were correct.

Integration with finance approval workflows

Budget approval, spend authorisation, and financial control processes within an approved commercial model are well-suited to ERP workflow management.

Where it breaks down

Three failure modes for complex people and services transactions

These failures are not edge cases. They are structural properties of the approach that become problems at enterprise scale with regulatory exposure.

The ERP records the cost of a decision it never questioned

A purchase order raised directly in an ERP reflects a channel decision made outside any diagnostic process. The system records the commitment, processes the invoice, and allocates the cost. It has no mechanism to assess whether the engagement type was appropriate.

Dark demand enters ERP as legitimate spend

Managers who raise POs directly for consulting, contingent, or services spend bypass both the VMS and procurement governance. The ERP processes these as valid transactions. The misallocation rate in direct ERP spend is typically higher than in managed programme spend.

Cost data without decision context produces incomplete analysis

Finance teams see spend by cost centre, supplier, and category. They do not see the intent behind the spend, the alternatives that were not considered, or the classification decisions that determined how the work was structured.

Capability comparison

What each approach produces

Capability Triage ERP
Operating point Before channel and commercial model selection At or after financial commitment
Demand visibility Captures intent before any PO is raised Sees spend only after commitment
Misallocation detection Channel errors corrected before financial commitment None. Misallocated spend processes as legitimate.
Decision documentation Compliance File documents intent and classification logic Financial record only. No decision rationale.
Dark demand capture Single starting point prevents direct system access No control over where requests originate
ROI analysis Links diagnostic decisions to downstream spend outcomes Spend data without decision context
Audit readiness Classification documented before financial commitment Transaction record. Intent undocumented.
Same scenario. Two outcomes.

A department head raises a consulting PO directly in the ERP for a 3-month analytical project

ERP

The PO is processed. The supplier is engaged. The cost is allocated to the department budget. Finance sees a consulting spend entry. There is no record of whether contingent, permanent, or AI agent alternatives were considered. The ERP records the outcome of an undiagnosed decision.

Triage

The department head opens Triage rather than the ERP. Six structured questions about the deliverable, timeline, and budget produce a scoring outcome: 55% services, 25% AI agent capable, 20% contingent. The recommendation is services with a defined scope, plus a flag that portions of the analytical work qualify for AI agent execution. The ERP receives two correctly structured commitments with a Compliance File documenting the decision logic.

Regulatory context

What auditors ask for. What each approach produces.

Worker classification enforcement is accelerating. IR35 in the UK, AB5 in California, the EU Platform Work Directive across Europe, and Scheinselbstandigkeit in Germany all require organisations to demonstrate that classification decisions were made through a systematic, documented process.

The question is not whether the decision was correct. It is whether the process that produced it was auditable. Projected enforcement activity exceeds $60B in fines and back-pay through 2028.

Documented decision process
Created at point of origin
Not produced
Evidence of systematic process
Compliance File: intent, scoring, logic, recommendation
Not produced
Reproducible decision logic
Same inputs always produce the same output
Not guaranteed
Jurisdiction-specific rules applied
Country logic applied automatically per request
Not available

See how Triage compares.

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