Travis Raymond
Travis Raymond
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Services

AI systems for leads, operations, and content.

Practical infrastructure, not theory. I build the workflows that capture demand, route work, and remove manual bottlenecks.

What I Deliver

Core
Service
Lines.

01

Autonomous Business Systems

Lead intake, missed-call response, voice agents, CRM routing, follow-up, payment reminders, and owner alerts.

SMS lead intakeAI receptionistCRM routingFollow-up remindersPayment collectionOwner alerts

Stack: Quo · Modal · Supabase · Slack · Telegram · Claude

02

AI Web and App Building

Conversion-focused websites, internal dashboards, client portals, proposal tools, and business apps connected to your real operations.

Business websitesInternal dashboardsClient portalsProposal toolsAI quote tools

Stack: Next.js · Vercel · Supabase · Modal · Tailwind

03

Automated Content Pipelines

Systems that turn raw ideas, uploads, videos, and articles into platform-ready posts, captions, carousels, descriptions, and scheduled content.

Dropbox auto-post systemInstagram carousel automationRSS to social postsLong-form to shortsFaceless channel systems

Stack: Python · Claude · YouTube · Meta · TikTok · Google Drive

How the Systems Work

System walkthroughs.

These are examples of the systems I build. The same pattern can be adapted for quoting, onboarding, client dashboards, payment follow-up, reporting, and internal operations.

SMS Lead Intake → Qualified Call

A website visitor or social prospect texts the business number. The system captures the conversation, creates a lead record, labels intent, prepares the right response path, and routes the next step toward a qualified call.

Workflow diagram showing SMS lead intake turning an inbound text into a qualified call.

Faster replies, cleaner lead records, and more qualified calls booked.

Text me about lead intake

Missed Call → AI Receptionist → Booked Appointment

When a call comes in or gets missed, a voice agent can capture the caller's need, collect key details, create a lead record, alert the owner, and route the next step to a booking link or callback.

Workflow diagram showing an AI receptionist capturing missed calls and routing them to booked appointments.

More calls captured, faster follow-up, and fewer serious leads missed.

Text me about AI reception

Content Drop → SEO Post → Scheduled Distribution

Drop raw content, transcripts, notes, or files into one place. The system packages the material into platform-ready captions, titles, SEO structure, review queues, and scheduled distribution assets.

Workflow diagram showing raw content becoming SEO posts and scheduled distribution.

More content shipped, better consistency, and less time lost to manual distribution.

Text me about content automation

How It Works

From audit to live infrastructure in four steps.

01

Workflow Audit

Map every manual step in your current operations and identify where AI can own the execution.

02

System Design

Architect the automation stack — tools, integrations, data flows, and failure modes — before writing a single line of code.

03

Build & Deploy

Deliver working systems, not slide decks. Every engagement ends with production infrastructure running live.

04

Handoff & Documentation

Full documentation, runbooks, and a 30-day support window so your team can operate what we build.

Ready to build?

Text me what you are working on. I will tell you exactly what I would build.