Find where errors are likely in a process and prevent them

Identify where errors are most likely to occur in this process and how to prevent them. Process: [NAME and what it produces] Steps: [PASTE the steps with who does them and the systems used] Errors we already see: [EXAMPLES with rough frequency, if known - e.g. "wrong PO numbers on ~5% of invoices"] Impact of errors: [rework, customer complaints, financial loss, compliance exposure] Steps: 1. For each step, list what could go wrong. Look for common error sources: manual data entry or re-keying, copy-paste between systems, unclear instructions, missing or late inputs, judgment calls without criteria, handoffs, time pressure, rare or complex cases, and spreadsheets with formulas nobody checks. 2. Rate each failure on likelihood, impact, and how likely it is to be caught before it causes harm (high / medium / low). Rank by combined risk. 3. For the highest-risk points, suggest prevention first, then detection: - Prevent: remove the step, use dropdowns or validation, templates, checklists, defaults, automation of transfers. - Detect: reconciliations, peer review, exception reports, sample checks. 4. Note where the current checks are in the wrong place (too late, or checking something that rarely fails). Return: 1. A table: Step | What could go wrong | Cause | Likelihood | Impact | Chance of detection | Risk rank | Prevention | Detection. 2. The top 5 error hotspots with a one-line explanation each. 3. Quick fixes versus fixes that need system changes. 4. Metrics to track whether error rates fall. Base the ratings on what I described; mark guesses [ESTIMATE - CONFIRM WITH TEAM]. Talk about causes in the process, not individual blame.