Overview:
Lean Layer is G2’s #1 rated RevOps, BI, and AI consulting agency, helping B2B sales teams build, optimize, and scale revenue operations. We focus on CRM implementation, data infrastructure, and sales process design, turning fragmented tech stacks into clean, reliable revenue engines.
When paired with Orum’s parallel dialing and AI-powered calling platform, Lean Layer ensures your team isn’t just making more calls, they are making the right calls. With clean data, structured processes, and aligned systems, Orum can operate at full capacity. We build the RevOps foundation that allows Orum to drive real pipeline impact.
Services Offered
● CRM & Tech Stack Implementation and Optimization
Build and optimize Salesforce, HubSpot, and related tools so rep workflows and Orum dialing sequences are aligned from day one.
● Data Cleanliness & Contact Enrichment
Audit, clean, and enrich contact and account data to ensure Orum connects with the right people, reducing wasted dials and improving conversion rates.
● RevOps Process Design
Design the full outbound motion, from list building to disposition tracking, so Orum fits cleanly into a scalable, repeatable sales process.
● Reporting & BI Dashboards
Create dashboards that connect Orum activity to pipeline and revenue outcomes, giving leaders a clear view of outbound performance.
● AI & Automation
Assess AI readiness, implement the right foundations, and build solutions that leverage call data and engagement signals from tools like Orum.
Customer Profile
Skaled is a strong fit for B2B organizations looking to improve outbound performance and operational rigor.
Firmographics:
B2B companies, 50–1,000 employees, primarily US-based, across SaaS, tech, and professional services
Technographics:
Salesforce or HubSpot required
Goals & Challenges:
Scaling outbound teams that need their CRM, dialing tools, and broader systems working in sync. Common initiatives we support:
● AI readiness and defining a clear path to implementation
● CRM and systems implementation and optimization
● Improving data quality, systems, and processes
● Building and scaling AI-driven solutions
● Creating visibility into reporting and performance