// Managed AI Workflow Automation

Some of your team's work can run on its own. Managed AI workflow automation for growing teams.

Increase productivity by an average of 30% within 90 days at no extra cost using managed AI systems.

A real managed AI system

A real automated workflow running continuously in the background, receiving requests, retrieving data, applying conditions, and sending results.

Automated Data Pipeline
active run #0 n8n workflow
true false Webhook POST /trigger idle HTTP Request GET /api/records idle Set / Transform Normalize fields idle IF Condition status == 200 idle Send Email SMTP · notify idle Log Error Slack · #alerts idle
execution log
// process automation run 1  ·  cycle repeating

More output,
same team.

Several departments spend much of their day on work that does not drive core productivity. These tasks are necessary, but they do not need to be done manually.

AI can handle this work. No extra hires and no new processes. Your team stays focused on work that drives important results while repetitive tasks run in the background.

30%
Average productivity increase
90
Days to handoff
$0
No increase in headcount
100%
Full system ownership

Where the time goes.

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.

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.

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.

What we have built.

Research Automation n8n Gemini AI
01

Property Ownership Research Pipeline

An AI agent that researches commercial real estate facilities at scale. For each address, it identifies the ownership entity, parent company, management company, and on-site operator — each with a confidence score. A human researcher reviews the rest.

Output increase per day
0% Less time, same dataset
0% Fully automated accuracy
// Output comparison · 20% conversion rate maintained
Human researcher
Cases per day 7
Conversions per day 1.4
Cases per year 1,820
Conversions per year 364
AI agent
Cases per day 500
Conversions per day 100
Cases per year 182,500
Conversions per year 36,500
// Accuracy by property type avg 82%
Garage
88.8%
Covered
86.2%
Surface Lot
79.6%
Underground
75.0%
// Accuracy by monthly revenue avg 82%
$0–5K
84.4%
$5–10K
75.2%
$10–20K
81.6%
$20–30K
89.5%
$30–50K
83.1%
$50–75K
92.1%
$75–100K
75.0%
$100–150K
87.1%
$150–200K
92.3%
$200K+
69.2%
// Research methodology · 7 phases per address Every search is logged: tool, query, result, and next action.
01
Primary Records
County assessor, tax records, and recorded instruments to establish the legal identity of the property.
02
Primary Occupant
Mapping services and parking platforms to identify the dominant entity operating at the address.
03
Corporate Intelligence
Corporate databases and public filings to resolve legal structure, officers, and entity status.
04
Organizational Connectivity
Branding, disclosures, and shared resources to map the entity within larger institutional structures.
05
Lateral Intelligence
Commercial listings, lien filings, zoning records, and media archives for secondary confirmation.
06
Operational Identification
Consumer platforms and review archives to isolate and verify the active parking operator.
07
Synthesis
Cross-reference all findings, resolve conflicts by source weight, and populate every output field with the highest-probability candidate.
// Reasoning buffer · sample entry
Phase 01 — Primary Records
Tool County Assessor · web_search
Query Baltimore City parcel 100 N Charles St owner of record
Result HCRE 100SCharles LLC · mailing 5396 W 2400 S, West Valley City UT
Next Pivot to Phase 03 · resolve LLC ownership chain
Property Research Pipeline
active run #0 n8n workflow
Salesforce CRM Read addresses idle Filter Unenriched only idle Gemini AI Research ownership idle Extract Results Score & parse idle Salesforce CRM Write results idle
execution log
// property research automation run 1  ·  cycle repeating

Get in touch

If your team spends time on work that could run automatically, it is worth a short conversation. No pitch, no commitment. Just a look at where the time goes.

Location Remote — available globally
Response Time Within 24 business hours
// No spam. No commitments.