Illustrative Examples

Imaginary case studies. Real delivery logic.

These examples are fictional composites built from recurring automation patterns. Use them to understand what good scoping, execution, and outcomes look like before kickoff.

Fictional example: illustrative composite, not an anonymized client case.

EX-01

NorthBridge Industrial Supply

Wholesale Distribution

Quote-to-order handoff done manually across inboxes and ERP screens.

Challenge

Inside sales retyped every approved quote into the ERP, creating delays, avoidable errors, and inconsistent margin controls during rush hours.

Automation Delivered

  • Email-to-order parser with line-item validation and duplicate checks.
  • Approval rules for margin thresholds before ERP write-back.
  • Automated customer confirmation with exception routing to Slack.
  • Daily reconciliation report for finance and operations leads.

Quote-to-order lead time

19h 4.8h

-75%

Manual touches per order

7 2

-71%

Order input error rate

5.9% 1.1%

-81%

EX-02

Marigold Property Group

Real Estate Operations

Invoices and vendor updates processed via spreadsheet handoffs.

Challenge

Accounts payable and operations teams managed invoice approvals through email chains, causing late fees, duplicate entries, and poor visibility across properties.

Automation Delivered

  • Document capture pipeline for invoices, purchase orders, and utility bills.
  • Three-level approval workflow tied to property, budget, and category.
  • ERP sync for validated records with automatic status updates.
  • Weekly KPI digest covering cycle time, exceptions, and late-fee exposure.

Invoice cycle time

12 days 2.9 days

-76%

Late-payment penalties

$6.4k/q $0.9k/q

-86%

AP admin workload

46h/week 14h/week

-70%

EX-03

Arclight Metrics

B2B SaaS

Support triage and renewal-risk tracking managed by manual tagging.

Challenge

Customer teams spent too much time sorting tickets and building renewal narratives manually, so high-risk accounts were often identified too late for meaningful intervention.

Automation Delivered

  • AI-assisted ticket classification with confidence scoring and fallback rules.
  • Account health signal aggregation from support, product usage, and billing.
  • Renewal-risk alerts pushed to CRM tasks with playbook suggestions.
  • Leadership dashboard for weekly SLA performance and risk pipeline.

SLA breaches

28% 6%

-79%

CSM prep time

9h/week 2.5h/week

-72%

Risk detection lead time

6 days same day

+6 days

Want this format for your own process?

We can run the same structure on one of your workflows and quantify the case before heavy build work.