SaaS Support
Scaling a SaaS support desk with AI orchestration
Implemented a custom support layer that reduced ticket resolution time while preserving brand tone and escalation quality.
Success metric
82% ROI
Case Studies
Real operating gains across support, growth, and logistics
These are representative patterns from client work: accelerate the queue, preserve control, and produce measurable business outcomes.
82%
Support ROI
3.5x
Lead conversion lift
$4.2M
Operational savings
5,000+
Monthly leads processed
Featured Work
Three patterns we repeatedly turn into operating leverage
Support orchestration, legal lead intake, and predictive logistics all share the same challenge: too much valuable work trapped behind slow manual flow.
View results
Legal Automation
Automating lead qualification for a law firm growth team
Built a multi-stage qualification engine that processed thousands of monthly leads and improved partner conversion rates.
Success metric
3.5x conversion
Ops Logistics
Predictive logistics optimization across the supply chain
Applied predictive analytics and exception routing to reduce downstream disruptions before they turned into operating costs.
Success metric
$4.2M saved
Detailed Results
What each deployment changed operationally
Each engagement focused on one high-friction workflow first, then expanded after measurable performance gains.
CloudFlow Systems
Scaling a SaaS support desk with AI orchestration
Implemented a custom support layer that reduced ticket resolution time while preserving brand tone and escalation quality.
82% ROI
Success metric
SaaS Support
Engagement Type
90 Days
Initial Rollout Window
Before
Work was moving through manual triage, slow handoffs, and fragmented systems that created latency and inconsistent operator follow-through.
What Changed
We introduced an AI-assisted execution layer tied to the client's existing workflow, preserving human review where business risk stayed material.
Outcome
The client gained faster throughput, cleaner operational visibility, and a deployment path that could expand from one proven workflow into adjacent processes.
Sterling & Associates
Automating lead qualification for a law firm growth team
Built a multi-stage qualification engine that processed thousands of monthly leads and improved partner conversion rates.
3.5x conversion
Success metric
Legal Automation
Engagement Type
90 Days
Initial Rollout Window
Before
Work was moving through manual triage, slow handoffs, and fragmented systems that created latency and inconsistent operator follow-through.
What Changed
We introduced an AI-assisted execution layer tied to the client's existing workflow, preserving human review where business risk stayed material.
Outcome
The client gained faster throughput, cleaner operational visibility, and a deployment path that could expand from one proven workflow into adjacent processes.
Nexus Logistics
Predictive logistics optimization across the supply chain
Applied predictive analytics and exception routing to reduce downstream disruptions before they turned into operating costs.
$4.2M saved
Success metric
Ops Logistics
Engagement Type
90 Days
Initial Rollout Window
Before
Work was moving through manual triage, slow handoffs, and fragmented systems that created latency and inconsistent operator follow-through.
What Changed
We introduced an AI-assisted execution layer tied to the client's existing workflow, preserving human review where business risk stayed material.
Outcome
The client gained faster throughput, cleaner operational visibility, and a deployment path that could expand from one proven workflow into adjacent processes.
Next Step
Bring one workflow. We will show you how to instrument it for lift.
The fastest path to confidence is a narrow deployment with clear metrics, tight controls, and a route to expansion if it works.