Now deploying with mid-market firms

The digital assembly line for mid-market service firms.

We build AI agent systems that run your firm's repetitive work, 24 hours a day, on Google Cloud. Your team focuses on what matters. The line handles the rest.

Built on Google CloudGemini Enterprise Agent Platform
Running
Line 01 · Client Intake Assembly Line
us-central1
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INMONDECACTOUT
Input
Live
Monitor
Live
Decide
Awaiting
Act
Live
Output
Live
Deployed on Google Cloud·Architecture Gemini Enterprise Agent Platform
Status Illustrative client deployment
How it works

Five stations. One continuous workflow. No spreadsheets.

Every assembly line we build has the same five stations. Each station is an AI agent your team can monitor, govern, and pause at any time. Production-grade, not pilot-grade.

Station 01

Input

Receives every signal that matters to your firm. Emails, forms, CRM events, calendar changes, voice messages, document uploads.

Station 02

Monitor

Watches signals in real time. Classifies, routes, and flags anything that matches the rules your firm sets. Never sleeps, never misses.

Station 03

Decide

Reasons through the decision with the full context your firm has built up. Escalates to a human on anything outside its sanctioned zone.

Station 04

Act

Executes the work. Drafts the email. Updates the CRM. Schedules the meeting. Books the calendar. Files the document. Sends the invoice.

Station 05

Report

Logs every signal, every decision, every action to BigQuery. Surfaces a daily morning brief. Your partners see what happened, what didn't, and why.

The Hendricks Method

Built on the same architecture that runs Walmart, Mercedes-Benz, and Salesforce.

Our four-phase method moves your firm through Build, Scale, Govern, and Optimize. The same production agent architecture trusted by the world's largest enterprises, sized and priced for firms with 25 to 250 employees.

Build

Architecture Design

Map your operation. Design the line. Pick the stations. Define the human checkpoints.

Scale

Agent Development

Build each station. Wire it into your systems. Connect to Memory Bank for persistent context.

Govern

System Deployment

Deploy to Agent Runtime. Identity, registry, gateway, kill switch. Shadow mode for 30 days.

Optimize

Continuous Operation

Weekly tuning. Monthly reports. Quarterly redesign. The line gets better every week.

Enterprise deployments

The same architecture runs at firms you've heard of.

Hendricks deploys the mid-market version of the Gemini Enterprise Agent Platform that powers these production agent systems. Same architecture. Different scale. Numbers reported by Google at Cloud Next '26.

Citi
Verified
Live
Citi Sky launching 2026
Citi Sky, the AI wealth assistant built on Gemini Enterprise Agent Platform and Google DeepMind, launched at Cloud Next '26 with rollout to Citigold clients.
Best Buy
Verified
200%
Self-service rate lift
Increase in customer self-service after deploying conversational agents on the same architecture, with long-format troubleshooting precision.
Humana
Verified
80M
Member calls per year
Supported by 20,000 member advocates empowered with Agent Assist on the platform. Real-time coaching, translation, and action on every call.
Mercedes-Benz
Verified
MBUX
In-vehicle voice assistant
Mercedes-Benz integrated Gemini-powered agent capabilities into its MBUX in-car system, bringing conversational AI to the driver experience at production scale.
Source: Google Cloud Next '26 keynote, partner recap deck, and Humana press release, May 2026
Walk the line

Scroll through a live deployment, station by station.

Here is what a client intake assembly line looks like for a representative 47-attorney law firm. One inbound lead. Five stations. Eight minutes from form submission to engaged matter, with a partner approval gate at the rate quote.

Station 01 / Input

The signal arrives.

A new lead submits the firm's intake form at 11:47 PM. Three minutes after a Google search for "Houston employment attorney." The signal hits the assembly line within a second.

Source
Web form, hendersonlaw.com/contact
Captured
Name, employer, situation summary, timeline
Stored
Firestore document with full session metadata
Station 02 / Monitor

The agent classifies and routes.

The Monitor agent reads the lead, classifies it as Employment Law / Wrongful Termination, and routes to the correct intake queue. Confidence score 0.94. The misclassification flag is dormant.

Practice
Employment Law (0.94 confidence)
Urgency
Standard (no urgency keywords detected)
Routed to
Intake queue, Employment partner pool
Station 03 / Decide

Conflict check. Engagement scope. Rate.

The Decide agent runs the conflict check against the firm's matter database. Clear. Drafts the proposed scope of work. Calculates the engagement rate based on partner allocation and matter complexity. Pauses for human review.

Conflict
Clear (checked against 4,217 active matters)
Scope
Initial consult + case evaluation, 6 hours
Quoted
$485/hr blended rate, $2,910 retainer
Human approval required
Station 04 / Act

Partner approves. The line ships.

Partner reviews on their phone, approves at 7:12 AM. Within 30 seconds the agent drafts the engagement letter, populates the client into the matter management system, schedules the intake call, and sends the welcome packet.

Letter
Drafted, routed to docusign for client signature
Matter
Created in Clio, ID 2026-EMP-0427
Calendar
Intake call booked, Friday 2 PM
Station 05 / Report

Logged. Surfaced. Auditable.

Every signal, classification, decision, and action is logged to BigQuery with full trace context. The managing partner sees this lead in their morning brief at 8 AM. The firm has a complete audit trail that satisfies bar association requirements.

Logged
17 events in BigQuery, full trace IDs
Brief
In Managing Partner inbox at 8 AM
Time
8 min, end to end. Zero human admin time.
RECEIVING
Line 01 · Client Intake
us-central1
INMONDECACTOUT
Step 1 of 500:00
What a line produces

Illustrative output from a Hendricks assembly line in production.

Representative monthly throughput for a single mid-market assembly line at typical operational scale. Actual numbers vary by client and workflow.

Tokens processed this month
Live
0
22% from last month
Agent decisions logged
Live
0
31% from last month
Human hours redirected
Live
0
18% from last month
Book the walkthrough

20 minutes. One Friday. Walk away with the line your firm needs.

We will walk through three live assembly lines from real clients, identify the one that fits your firm, and tell you what it would take to ship it. No deck, no pitch, no follow-up sequence. If it is not a fit we say so.

Brandon Lincoln Hendricks, Autonomous AI Agent Architect
BH
20 min assembly line walkthrough
hello@hendricks.ai  ·  20 min
Google Meet, link auto-generated
May 2026
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