Representative sample • synthetic scenario

Sample Solution Assessment: invoice approval bottlenecks

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.

Synthetic problem brief

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.

Finance operationsInvoice approvalsERP integrationAudit trail
Decision criteria

What the assessment evaluates

Operational fit
Approval ownership, exception volume, hand-offs, and policy consistency.
Technology fit
ERP APIs, document formats, identity, audit, and deployment constraints.
Delivery risk
Data quality, change adoption, security boundaries, and integration dependencies.
Options assessment

Four paths considered—without assuming AI is the answer

01

Workflow redesign

Standardize approval thresholds, owners, exception categories, and escalation rules before adding technology.

Fit: Required foundation, but insufficient alone where data is still copied manually.

02

Conventional automation

Use forms, rules, ERP APIs, notifications, and an auditable approval workflow for structured invoices.

Fit: Strong primary path for predictable processing and control.

03

AI-assisted exceptions

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.

04

Platform modernization

Replace or substantially redesign the ERP and finance platform.

Fit: Disproportionate for the defined problem unless wider platform constraints are confirmed.

Representative recommendation

Workflow first, automation second, bounded AI proof only if justified

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.

Illustrative sequence

Implementation brief

Phase 1: baseline and control design
Confirm volumes, approval rules, exception types, owners, and audit needs.
Phase 2: workflow automation
Build the structured intake, approval routing, ERP integration, and reporting path.
Phase 3: optional AI proof
Test one exception class with human review, evaluation criteria, and a stop/go decision.

What a real assessment package makes explicit

Assumptions and evidence gaps

Which buyer inputs were reviewed, which facts remain unverified, and what must be confirmed before implementation.

Architecture and controls

System boundaries, integrations, data handling, identity, human approvals, observability, and audit requirements.

Risks and dependencies

Process ownership, source-system limits, data quality, security review, adoption, and supplier dependencies.

Next decision

A defined recommendation, implementation sequence, buyer responsibilities, and the scope needed for a separate delivery proposal.

This sample demonstrates the format—not a promised result.

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.