AI Workflow Automation for a B2B SaaS Company
Context
A European B2B SaaS company with a 40-person commercial team was managing lead routing, follow-up sequences, and CRM updates through a combination of manual processes and disconnected tools.
Challenge
The sales team spent significant time on administrative tasks — updating records, routing inbound leads, and manually triggering follow-up sequences. This reduced selling time and created inconsistencies in pipeline data.
Strategic Intervention
NLG Consulting conducted a workflow audit, mapped the existing sales process, and designed an integrated automation layer connecting the CRM, email sequencing, and lead scoring systems.
Execution Layer
The engagement included AI-powered lead scoring, automated routing rules based on ICP criteria, and structured follow-up sequences triggered by prospect behavior. The CRM was configured to reflect real-time pipeline status.
Indicative Outcomes
The team reported a measurable reduction in manual data entry, improved lead response times, and better pipeline visibility for management. Sales activity became more consistent across the organization.
Strategic Relevance
For leadership teams managing growing commercial organizations, AI workflow automation creates operational clarity and ensures that sales capacity is directed toward revenue-generating activities rather than administrative overhead.