Define the decision before choosing the software
An RFQ automation pilot should answer a concrete operating question: can the system reduce the work required to produce a review-ready quotation without introducing unflagged technical or commercial errors? Define that decision before configuring integrations or redesigning the team’s process.
Write down the current workflow, the responsible roles and the exact point at which a draft becomes ready for technical and commercial review. This baseline keeps the evaluation focused on work quality rather than demo polish.
Choose a representative RFQ set
Use cases the team has already completed and understands. Include routine requests and difficult cases with mixed attachments, ambiguous specifications, partial supplier replies, technical alternatives and nonstandard commercial terms. Avoid selecting only clean RFQs that make extraction look artificially strong.
- Email with PDF and spreadsheet attachments
- Multiple line items and product categories
- Revised customer documents
- Incomplete or conflicting supplier responses
- Technical deviations requiring judgment
- Foreign currency and landed-cost assumptions
Keep the first phase read-only
Begin with exported or historical data. The system may structure requirements, retrieve evidence, propose supplier matches and prepare commercial inputs, but it should not send emails, modify ERP records or commit a customer-facing price.
Read-only scope reduces implementation risk and makes it easier to compare the prepared work package with the original case. External actions can be considered later, after reviewers trust the core workflow.
Agree on measurable pass and fail criteria
Measure the time to a review-ready draft, not only the time to an initial extraction. Record evidence coverage, corrections per line, missed exceptions, false exception flags and reviewer effort. Separate supplier waiting time from internal preparation time so the software is judged on work it can influence.
- Preparation time by workflow stage
- Required fields supported by source evidence
- Reviewer corrections per line
- Material deviations detected and missed
- Unsupported values or silent assumptions
- Reviewer confidence and reasons for rejection
Review errors by consequence
Not every correction carries the same risk. A formatting change is different from an incorrect material, pressure class, currency, lead time or customer-facing price. Classify errors by their possible technical, commercial and external consequence.
The pilot should fail if material errors reach the draft without a visible exception. It may still pass with imperfect extraction if uncertainty is surfaced clearly and the reviewer can correct the case efficiently.
Expand only after the workflow earns trust
If the historical evaluation passes, move to a limited shadow pilot beside the existing process. Keep named reviewers accountable and compare outcomes before allowing any live write or send action.
Add integrations one at a time with minimum permissions, logs and a rollback path. A useful pilot creates evidence for a deployment decision; it does not assume that completing a demo means the workflow is ready for production.