What the example buyer brings
A fictional mid-sized distributor processes supplier invoices through email, spreadsheets, and an ERP. Approvals are inconsistent, exceptions are difficult to see, and staff re-enter information across systems.
This public example shows the structure and level of decision support a buyer can expect. The organization, workflow details, and findings are fictional. This is not customer work. It is not a testimonial and not a claim of achieved results.
A fictional mid-sized distributor processes supplier invoices through email, spreadsheets, and an ERP. Approvals are inconsistent, exceptions are difficult to see, and staff re-enter information across systems.
Standardize approval thresholds, owners, exception categories, and escalation rules before adding technology.
Fit: Required foundation, but insufficient alone where data is still copied manually.
Use forms, rules, ERP APIs, notifications, and an auditable approval workflow for structured invoices.
Fit: Strong primary path for predictable processing and control.
Classify unstructured invoice exceptions and draft routing suggestions, with finance staff retaining approval authority.
Fit: Optional later proof if exception volume and document quality justify it.
Replace or substantially redesign the ERP and finance platform.
Fit: Disproportionate for the defined problem unless wider platform constraints are confirmed.
For this synthetic scenario, the recommended path is a combination: clarify the operating process, implement rules-based approval automation, integrate with the ERP, and measure exception handling. AI is reserved for a separately gated proof around unstructured exceptions.
The deployment recommendation would preserve the buyer's data and identity boundaries, with cloud, hybrid, or on-premise components selected from verified constraints—not from a default technology preference.
Which buyer inputs were reviewed, which facts remain unverified, and what must be confirmed before implementation.
System boundaries, integrations, data handling, identity, human approvals, observability, and audit requirements.
Process ownership, source-system limits, data quality, security review, adoption, and supplier dependencies.
A defined recommendation, implementation sequence, buyer responsibilities, and the scope needed for a separate delivery proposal.
Every paid assessment is based on one buyer-defined problem and the evidence and constraints supplied for that engagement. Implementation, additional analysis, configuration, coding, migration, and integrations are scoped separately.