Case Studies

Real deployments for real businesses. Here's what AI employees look like in practice.

Commercial Solar

7-Agent Operations System

Active Deployment

7

AI Employees Deployed

40+

Hours/Week Targeted

< 1 Week

Initial Deployment

The Problem

A commercial solar installation company was drowning in manual operations — lead intake, email management, scheduling, CRM updates, proposal generation, and vendor communications. The owner was spending more time on admin than closing deals.

The Solution

Deployed a coordinated team of 7 AI employees, each handling a specific operational function:

Lead Intake Agent
Email Management Agent
Scheduling Coordinator
CRM Operations Agent
Proposal Generation Agent
Vendor/RFP Agent
Operations Coordinator

The Result

Targeting complete elimination of manual operational overhead — freeing the owner to focus exclusively on sales and client relationships.

Digital Media

AI Executive Assistant

Live

1

AI Employee Deployed

2 hrs

Time to Deploy

24/7

Availability

The Problem

A digital media executive was overwhelmed managing email, scheduling, competitor research, and customer support across multiple channels — while also running day-to-day operations.

The Solution

Deployed an AI Executive Assistant that handles web research, email drafting, calendar management, and customer communications. Connected to the company's existing tools — Google Workspace, CRM, and support channels.

The Result

Deployed and operational in under 2 hours. Now handles daily research, email operations, and competitive intelligence autonomously — giving the executive back hours every day.

AI Marketing & Operations

Multi-Model AI Operations Officer

Live

5

AI Models Orchestrated

< 60s

Parallel Task Completion

Daily

Intelligence Briefs

The Problem

An AI marketing and operations company needed a central AI operations officer that could research leads, manage CRM operations, deliver daily intelligence, and delegate tasks across multiple AI models — all running autonomously on local hardware.

The Solution

Deployed a multi-model AI operations officer with parallel subagent orchestration:

Lead Intelligence Engine — researches targets and produces structured lead briefs
Parallel Subagents — 4 concurrent workers executing research, analysis, and math simultaneously
CRM Integration — pushes qualified leads directly into GoHighLevel
Google Workspace — full access to Gmail, Calendar, Drive, and Sheets
Self-Healing Retries — failed tasks automatically retried with adjusted strategies

The Result

A single AI operations officer now orchestrates 5 different AI models — delegating parallel tasks that complete in under 60 seconds. The system runs 24/7 on local hardware with zero-cost local model execution for routine tasks and cloud models for complex work. Daily intelligence briefs, automated lead research, and CRM operations all run autonomously.

My Own Product

DialCatch — AI Phone Receptionist

I don't just build AI employees for clients — I build them for myself. DialCatch is an AI phone receptionist for solo tradespeople who miss calls while they're on the job. It answers, qualifies the lead, and texts the details to the business owner.

Want to hear it in action? Call (402) 961-3337 right now.

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