Sales Productivity
Follow-ups, scheduling, data entry, qualification. Your reps handle it all, and none of it closes deals. When these tasks run automatically, your team can focus on selling.
// 02 — Workflow Automation Services
Where the time goes.
Operations Automation
Most operations work follows the same steps. That kind of work is ideal for automation. Your team stays in control without doing the manual work.
Customer Communication
Inquiries, order updates, follow-ups. Most of it is predictable. AI can draft, send, and track these messages automatically.
Order & Inventory Workflows
As orders grow, so does the admin work like tracking, supplier contact, and error handling. Automate the routine so your team focuses on exceptions, not paperwork.
AI Readiness Assessment
Not sure where to start? This is a short audit of how your team spends time. You get a clear list of what to automate first, ranked by impact and effort.
Team Enablement
Each system includes documentation and a walkthrough so your team can run it on their own.
// 03 — Implementation Process
How it works.
01
Discovery
A conversation about how your team works. What tasks repeat, how much time they take, and where issues happen. That defines what to automate first.
02
Prioritization
Not everything should be automated at once. You get a short list of high-return tasks to start, so the first 90 days show real results.
03
Build & Test
The system runs alongside your current process first. Your team switches over once it is reliable and they are comfortable using it.
04
Handoff
Full documentation and a walkthrough. Your team takes over and the system keeps running after the engagement ends.
// 04 — Work
What we have built.
Research Automation
n8n
Gemini AI
01
Property Ownership Research Pipeline
Nationwide parking lead generation required mapping each site’s ownership structure, including legal owner, parent entity, property manager, and operator. Legal owners were often shell LLCs tied to law firms, requiring multi step investigation. A manual team processed about thirty five locations per day at a monthly cost of five figures. This workflow was replaced by an AI agent that researches each address across sources, assigns confidence scores, and writes results directly into a CRM system.
0×
Daily output increase
0%
Automated accuracy
0%
Cost reduction
// Operating cost · before and after
Before
Team
5 people
Monthly cost
$23,352
Daily output
35 facilities
After
Team
1 person + API costs
Monthly cost
~$7,364
Daily output
500 facilities
// n8n workflow · actual implementation
execution log