01
EMAIL + DOCUMENT INTAKE
Move incoming work to the right place faster.
Agents can read approved inboxes and files, extract the needed information, classify the request, and route it into the next step.
- Incoming
- Extract
- Classify
- Route
Local AI inference for independent insurance agencies
Automate the admin.
Own the system.
Model inference runs on hardware in your office. The system may connect to approved existing software; those data paths are documented before launch.
Your hardware. Your data. We build it. Fixed monthly management.
Work directly with Christopher. The person who maps the workflow also builds and manages the system.
30–80 employeesBest-fit agency size
In your officeModels run locally
Existing systemsBuilt around what you use
Controlled rolloutIndependence is earned
Start with the admin
Take repetitive work off the team without replacing the way the agency operates.
We begin with one bounded process, learn how your staff actually handles it, and build the agent around the approved workflow.
02
POLICY WORKFLOWS
Organize the documents that keep service teams busy.
Support policy, endorsement, renewal, and certificate workflows with document handling, comparisons, checklists, drafts, and clear handoffs to the agency team.
- Collect
- Compare
- Prepare
- Hand off
The agent supports the approved administrative process. Licensed staff retain coverage decisions, client judgment, and final authority.
A system you own
Your AI should be company infrastructure, not another metered tab in a browser.
You purchase the hardware and implementation. The base models run locally under their licenses. Your agency owns its data and custom agent configurations.
Review the system boundary
01
Own the hardware
The system runs on equipment installed at your location.
02
Keep the data
AI inference happens locally instead of sending agency data to an outside AI service.
03
Know the monthly cost
After implementation, monitoring and management follow a fixed monthly fee.
04
Keep the work bounded
Major new workflows are scoped separately rather than hidden inside an unlimited-support promise.
Use what already works
Connect the agent to the systems your agency already relies on.
The build starts with your current workflow. We connect only the approved software, documents, data, and actions needed for that process.
EXISTING SYSTEMS
Email Documents Agency management CRM Internal procedures
LOCAL AI SYSTEM
Models + agents
Runs in your office
WORKFLOW OUTPUT
Route work Update records Prepare drafts Create handoffs Answer employeesThe exact connections and permissions are approved workflow by workflow. The system is designed around your environment rather than forcing a replacement stack.
Introduced in stages
One place for employees to ask, find, and do approved work.
After the system and first workflows are validated, access can expand to individual, role-specific profiles. Employees can chat with an agent connected to the company information and systems relevant to their work.
- Answers draw from approved internal sources.
- Available actions follow the employee’s role and permissions.
- New capabilities are introduced only after testing and approval.
The process
From “let’s do this” to working agents.
A controlled seven-step build. We understand the work first, then increase independence only when reviewed results meet the agreed standard.
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01
Identify suitable work
Choose a process where AI can make a practical difference and define its limits.
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02
Gather what exists
Collect procedures, forms, examples, emails, prior data, and input from the people doing the work.
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03
Map the workflow
Lay out each action, decision, handoff, reference source, and output destination.
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04
Close gaps and set controls
Resolve conflicting instructions and approve data access, actions, checkpoints, and success standards.
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05
Build and connect
Build the agent around the approved process and connect only the systems it needs.
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06
Test under human review
Compare results with process experts. Every output starts under review.
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07
Operate and improve
Increase independence only after testing and client approval, then monitor and maintain the live workflow.
Ongoing management
The system does not get handed over and forgotten.
Christopher remains directly responsible for keeping the local AI system useful as models, software, and agency processes change.
FIXED MONTHLY MANAGEMENT
- MonitoringWatch system health and workflow performance.
- MaintenanceKeep the approved configuration working.
- Model updatesEvaluate changes before replacing the current standard.
- Direct supportWork with the person who built the system.
- AI trainingHelp employees use the system and other approved AI tools more effectively.
Major new workflows and material expansions are scoped separately.
About Christopher
Built and managed by the person whose name is on the page.
Christopher Baker is the founder of Advisor Intelligence. He maps the workflow, builds the agent system, supports the rollout, and remains the direct point of contact.
He is also a finance student at San Diego State University. His work centers on practical local AI systems for professional firms that handle sensitive information and cannot treat implementation as a generic software subscription.
Questions, answered
The details before we talk.
Still unsure whether your agency is a fit? Call or email Christopher directly.
619‑851‑2215Does our data leave the agency for AI processing?
The proposed system runs AI inference on hardware at your location. The exact data boundary, internet access, update process, integrations, and client-approved remote support method are documented before implementation.
What does the agency own?
The agency owns its hardware, data, and custom agent configurations. Base AI models run locally under the licenses that apply to them.
Do we have to replace our current software?
No. The system is built around the approved tools, files, and processes your agency already uses. Each connection is evaluated during workflow mapping.
How autonomous are the agents?
Every workflow begins under human review. Independence increases only after reviewed results meet the agreed standards and the agency approves the change.
What does the monthly fee include?
Fixed monthly management covers monitoring, maintenance, support, evaluated model updates, and training. Major new workflows or material expansions are scoped separately.
What size agency is the best fit?
The initial focus is independent agencies and brokerages with roughly 30–80 employees and enough repetitive administrative volume to justify dedicated local infrastructure.
Start with one workflow
Bring the administrative process your team is tired of doing by hand.
In 30 minutes, we can decide whether it belongs in a local agent system and what we would need to map next.