LSCG Business Automation & CRM Transformation
Designing more structured operating models for small businesses by connecting customer acquisition, follow-up, CRM workflows, scheduling, communication, quoting, documentation, and execution while reducing unnecessary manual work and process friction.
- Documented outcome
- Demonstrates CRM architecture, workflow automation, AI-assisted operations, system-of-record design, data-quality controls, exception handling, customer journey improvement, process safeguards, and practical implementation.
The work focuses on turning fragmented business processes into more reliable operating systems. This includes mapping current-state workflows, identifying manual handoffs and data gaps, defining the appropriate system of record, designing CRM structures, creating automation logic, establishing QA controls and exception handling, and improving visibility across customer and operational workflows.
AI is used selectively where it can reduce repetitive work, improve decision support, strengthen follow-up, or make processes more consistent without removing necessary human oversight. Solutions are evaluated against business value, recurring cost, scalability, maintainability, customer impact, data integrity, and operational risk.