Results
Systems in production. Outcomes you can measure.
Every engagement follows the Hendricks Method: study the operations, build the agents, deploy the system, manage it in production. Here is what that looks like in practice.
Autonomous Campaign Operations for a Multi-Location Workspace Company
A multi-location workspace company operating across 5 locations in Texas
The Challenge
Managing Google Ads campaigns across 5 locations with different budget allocations, campaign types (Search and Performance Max), and performance targets. Each location required independent budget optimization while maintaining strict spending discipline — every dollar allocated had to be deployed, and budgets could never shift between locations. Manual monitoring consumed hours per week and performance shifts went undetected for days.
What We Built
- Deployed autonomous Google Ads management agents across all 5 locations with hard-coded guardrails enforcing budget rules per location
- Built real-time anomaly detection that flags performance shifts before they impact spend efficiency
- Implemented zero-sum budget reallocation within each location — automatically shifting spend toward whichever campaign type is converting better
- Created a paid-organic bridge connecting ad performance data to organic content strategy, so high-converting paid queries become organic content targets
- Deployed a 7-agent AEO system monitoring visibility across ChatGPT, Perplexity, Google AI Overviews, and Gemini with 28 probe queries across all locations
Systems Deployed
“We went from spending hours every week watching dashboards to having a system that watches everything for us and only surfaces what actually needs a human decision.”
— Operations Lead
Autonomous Content Engine for a Professional Services Firm
A professional services firm building thought leadership across two brands
The Challenge
Maintaining consistent thought leadership content across two separate websites while the founding team focused on client work. Content creation was sporadic — weeks would pass between publications. Social media presence was inconsistent. The firm needed daily, high-quality content without adding headcount or diverting the founder from revenue-generating work.
What We Built
- Built an autonomous content engine that generates, publishes, and promotes articles daily — with zero manual intervention
- AI selects topics from defined content pillars aligned with the firm's positioning and audience
- Generates long-form articles with original hero images
- Auto-publishes to both websites via direct repository integration
- Creates LinkedIn and X social post drafts for review and publishing
- Sends daily email notifications with published content summary
Systems Deployed
“We went from publishing once or twice a month — when we could find the time — to having fresh, relevant content every single day. Our LinkedIn presence completely transformed.”
— Founder
Autonomous Google Ads Management for a Digital Marketing Agency
A digital marketing agency managing Google Ads for multiple clients across different verticals
The Challenge
The agency managed Google Ads campaigns for 3 clients across Demand Gen, Performance Max, Search, and Video campaign types, totaling $600+ per day in ad spend. Manual optimization was consuming the agency owner's time — checking performance, adjusting bids, monitoring budgets, adding negative keywords. With each new client, the workload scaled linearly. The agency needed to automate execution while maintaining tight guardrails on what the AI could change.
What We Built
- Built a multi-client autonomous Google Ads agent that monitors, analyzes, and executes optimizations across all accounts from a single system
- Implemented per-client guardrails stored in Firestore — target CPA floors and ceilings, maximum change percentages, cooldown periods between actions, and daily execution limits
- Every optimization follows a strict protocol: validate guardrails, read current state, execute change, log full audit trail with before/after values and rollback capability
- Agent handles tCPA adjustments, budget reallocation, and negative keyword management autonomously within defined limits
- Anything outside guardrail boundaries gets escalated to a human — the system knows what it can and cannot do
Systems Deployed
“I was spending 10 hours a week manually checking dashboards and tweaking bids. Now the agent handles it and I only get involved when something genuinely needs a strategic decision.”
— Agency Owner
Your operations could run like this.
Every case study above started with a 30-minute conversation. We mapped the bottlenecks, designed the architecture, and deployed systems that run autonomously.
30 minutes. No pitch deck. We'll show you what's possible for your firm.