Configuration and job execution solve adjacent problems
ianaiERP documents configuration rules producing BOMs and routings, while Epicor positions Kinetic for discrete and make-to-order manufacturing. Start with a job whose customer options alter both materials and an outsourced operation. Ask how an estimate becomes an approved production definition and which records preserve that initial promise. Then change the customer requirement after material is committed. Neither positioning statement establishes how an active job will behave; make both teams demonstrate it. Inspect the distinction between revising future master data and changing this customer's work. An approach that makes quotation convenient may demand more engineering control later, while a detailed job model may require more disciplined setup. Have the estimator, engineer and supervisor explain the same change. Record manual coordination and data ownership before deciding whether either proposed design reduces the business's actual friction at the quotation-to-production boundary. Decide which AI task enters the pilot first and name its business owner. Combining unrelated assistance into one score would hide the distinct data, approval and recovery requirements that purchasing and finance must operate.[ianaiERP 1][Epicor Kinetic 1]
Evaluate AI by the decision it touches
The documented AI examples are particularly different here. ianaiERP describes financial exception investigation with human approval; Epicor's Prism article describes RFQ-related supplier communications within Kinetic. Do not count both simply as an AI checkbox. Connect them through a delayed, changed component: purchasing must interpret a conditional supplier quote, while finance may need to explain a delivery and cash consequence. Ask each supplier to demonstrate the AI workflow it actually proposes and identify any additional licensing or setup. For communications, inspect the source attachment, unresolved terms and outgoing message before authorization. For financial investigation, inspect underlying transactions, assumptions and the reviewer's rejection path. Use a harmless ambiguous case as well as a clear exception. These are original evaluation requirements, not reported performance. Compare completion and correction effort within each task before deciding which task deserves investment; the applications are not interchangeable merely because both use an assistant.[ianaiERP 2][Epicor Kinetic 2]
Choose a day-two operating model for the factory
Kinetic's product material describes cloud-focused delivery with on-premise and hybrid flexibility. That expands the questions the proposal must answer; it does not establish the arrangement offered to this buyer. Obtain the actual application, infrastructure, update and recovery responsibilities from both candidates. Rehearse partial completion during a connection problem and inspect how delayed shop events reach inventory and finance without duplication. Include any external execution tool in the same test. Then ask the proposed administrator to change a routing rule and perform the associated regression checks. The decision should account for the staff who will maintain estimates, configuration rules, supplier workflows and production reporting after the consultants leave. A detailed initial demonstration can still conceal an operating burden. Keep separate acceptance records for job continuity, AI use and service ownership so a strength in one area cannot silently excuse an unresolved launch-critical condition in another.[Epicor Kinetic 1]
Questions that separate the proposals
What freezes when the job is released?
Active work must retain an approved basis.
Which AI task has a measurable problem?
RFQ communication and finance review differ.
Who approves external supplier messages?
An interpretation can create a commercial commitment.
Who reconciles delayed shop reports?
Deployment choice leaves practical recovery duties.
Run the same comparative scenario
BUYER-CONTROLLED DEMONSTRATION
A revised component with a conditional quotation
Illustrative case: a custom job is partly complete when a supplier proposes a changed delivery condition.
Proposed evaluation scenario. It is not a reported product test or customer result.- 01
Build the estimate and release its structure.
Evidence to retain: Save commercial assumptions and effective instructions.
- 02
Change the component and inspect supplier options.
Evidence to retain: List affected purchasing, work and customer approvals.
- 03
Review the proposed AI workflow before acting.
Evidence to retain: Retain source correspondence or transactions and human disposition.
- 04
Post partial output and the revised cost.
Evidence to retain: Reconcile remaining work, stock and job margin.
The evidence describes relevant but different manufacturing and AI emphases. A defensible choice needs a buyer-run job-change pilot and the actual deployment and support agreement.