JEDDORE / OSAsk AI

04 · Innovation Lab

Workflow Automation Explorer

One quote request, two processes. Send it through the manual version, then the automated one, and inspect the record at every step.

Illustrative: A demonstration on synthetic data. Not a real system or result.A generic business process with synthetic data and illustrative timings. Not a specific employer's system.

Time to quote9.3 working daysvs 17 min
Human touches7vs 1
Handoffs2vs 0
Times data is retyped3vs 0

The two processes, step by step

Before: manual

  1. Customer emails for a quote. Unstructured request. Key details are missing or buried.
  2. Inbox is triaged by hand. Waits for whoever checks the inbox. No owner yet.
  3. Rep re-keys details into a spreadsheet and the CRM. Typed twice. Typos and duplicates creep in.
  4. Rep emails operations for pricing. A second queue. The customer hears nothing.
  5. Ops calculates price in a spreadsheet. Manual math. Old price lists in circulation.
  6. Rep builds the quote document. Third time the same data is typed.
  7. Quote emailed, reminder set. The rep emails the PDF and sets a personal calendar reminder to follow up.
  8. Follow-up depends on memory. Invisible pipeline. Lost deals look like 'no response'.

After: automated

  1. Customer submits a structured quote form. Required fields + validation at the source.
  2. CRM creates and de-duplicates the lead. Match on email domain + company; merge, don't duplicate.
  3. Score and route to the owner. Score ≥ 60 → owner + 1-hour SLA task.
  4. Quote configured from price rules. One price book. Freight by zone. Discount bands by account tier.
  5. Rep reviews and sends. Approval only if discount > band.
  6. E-sign quote delivered. The customer receives a branded quote with e-signature and a link to ask questions.
  7. Follow-up runs itself. No open in 2 days → task. No signature in 7 → call.
  8. Outcome feeds reporting. Every stage change is reportable.

The pattern: capture structured data once at the source, let rules make the routine decisions, keep a person on the exceptions, and make every stage reportable. The same pattern sits behind the Salesforce automation and inventory projects.

Perspective

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Evidence

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