Workflow automation case study
Anonymized representative case study
Case 03
Make.com Lead Intake & Routing Automation
Automated lead capture, normalization, routing, and downstream actions through a maintainable workflow architecture.
Case overview
Executive overview
A workflow automation designed to standardize lead intake, apply routing logic, and coordinate downstream actions through a maintainable Make.com architecture.
Client problem
Fragmented or manual lead intake and routing created operational complexity and inconsistent follow-up.
My role
Mapped the workflow, defined system dependencies, structured routing logic, and designed the automation.
Operating impact
A more maintainable and consistent lead-management process supports clearer routing and operational visibility.
The challenge
The challenge
Fragmented or manual lead intake and routing created operational complexity, inconsistent data handling, and limited visibility across downstream actions.
What was happening
- Lead intake depended on fragmented or manual steps
- Data handling lacked a consistent normalization path
- Routing logic and dependencies were harder to manage
Why it mattered
- Lead handling required greater operational coordination
- Inconsistent data could complicate downstream routing
- Workflow status and ownership were harder to follow
Problem-state flow
- Lead intake
- Manual / fragmented handling
- Inconsistent data
- Routing complexity
- Limited visibility
System design
Lead intake and routing architecture
A connected Make.com workflow captures lead data, standardizes it, applies routing logic, and coordinates downstream actions through one maintainable automation.
Lead source / intake
Inbound lead data enters the workflow
Capture
Lead information is received by the automation
Normalize / validate
Data is standardized and checked before routing
Routing logic
Rules determine the appropriate workflow path
Destination / ownership
The lead moves to the appropriate destination or owner
Follow-up / visibility
Downstream actions and workflow status remain visible
Supporting principles
Design principles
Consistency
Standardized data creates a cleaner path into routing logic.
Routing clarity
Defined workflow logic makes routing dependencies easier to understand.
Visibility
Downstream ownership and workflow status are easier to follow.
Consulting scope
Scope and approach
Workflow reviewed
- Lead intake and capture
- Data fields and handling
- Normalization and validation
- Routing logic and dependencies
- Destination and ownership
- Follow-up and workflow visibility
Work performed
- Mapped the existing lead workflow
- Defined data-handling requirements
- Structured normalization and validation logic
- Defined routing paths and dependencies
- Mapped downstream actions and ownership
- Designed the maintainable Make.com workflow
Methodology
- Map intake
- Define data
- Structure validation
- Define routing
- Map ownership
- Document
Consulting outputs
Deliverables
- Workflow architecture
- Data-handling requirements
- Routing-logic definition
- Dependency and ownership map
- Implementation guidance
- Workflow documentation
Representative transformation
Operating-model transformation
Starting state
- Fragmented lead handling
- Manual or disconnected intake steps
- Inconsistent data handling
- Routing dependencies harder to follow
Intervention / operating model
- Standardize lead intake
- Define clean data handling
- Structure routing logic
- Clarify downstream ownership
- Document the workflow
Target state
- More maintainable routing
- Standardized intake and data handling
- Clearer routing logic and ownership
- Stronger downstream workflow visibility
Next step
Have a manual intake or routing process?
A Sprint can focus on a defined path, including routing criteria, downstream actions and exception handling. A Health Check is useful when the underlying problem is still uncertain.