AI Automations, Built Right.
We build AI implementations, AI integrations, Claude Code rollouts, and custom AI web apps for businesses in Miami and across South Florida. Production-grade engineering on Claude, GPT, and open-source models — wired into the tools you already use.
Anthropic-native · TypeScript · Next.js · Vercel · Supabase · Trigger.dev
What an AI Automation actually looks like
Most AI automation pitches end at a chatbot demo. Ours start where the demo ends. We engineer production systems where Claude, GPT, or a local model is wired into your real CRM, your real inbox, your real calendar, your real codebase — handling work that used to need a human at every step. The result is fewer hours per task, faster response times, and dashboards that show exactly what the AI is doing.
We build with the same stack we use to run Mi Assist AI internally: Anthropic Claude as the default reasoning model, OpenAI for fast voice and structured extraction, Next.js + Vercel for apps, Trigger.dev for background jobs and agent orchestration, Supabase + Postgres for data, and Claude Code for the engineering itself. Everything we ship is owned by you — code, infrastructure, data, and runbooks.
Five ways we ship AI for you
Click any card to see the dedicated service page. Most growing clients eventually use three or more.
What we automate
Real workflows we have shipped for Miami and South Florida clients in the last 90 days. Pick the one that hurts most. We build it first.
Inbox triage + drafting
AI reads every inbound email, classifies it, drafts a reply in your voice, and routes urgent items. We have shipped this for law firms, real estate offices, and agencies in Miami.
Lead scoring + routing
Every form submission, web visit, and ad click scored in seconds. Hot leads get texted to the right rep. Cold leads enter automated nurture. Built on top of GHL, HubSpot, or your custom CRM.
Document extraction
Invoices, contracts, intake forms, medical records, legal filings. AI parses them into structured data, validates fields, and pushes them into your system of record. Replaces hours of manual entry.
AI voice agents
AI agents that answer your phone, qualify leads, book appointments, and update your CRM. Built on Vapi, Retell, or Twilio + GPT-4o. Your calls answered 24/7 in your brand voice.
Internal RAG search
Private knowledge search for your team. Upload SOPs, contracts, case files, training docs. Your team asks questions in plain English and gets answers with source citations. Cloud or 100% local.
Daily reporting agents
Every morning at 6am, an AI agent pulls revenue, pipeline, ad spend, missed calls, reviews, and Stripe metrics. Lands in your inbox or Telegram before you finish coffee. Tailored to what you actually look at.
Intake + onboarding agents
AI runs new-client intake over text or email. Collects required info, creates the deal in your CRM, schedules kickoff calls, and triggers the right onboarding workflow. Used by medical, legal, agency, and home service clients.
Sales + outreach agents
Personalized cold email and SMS sequences written by AI from real prospect research. Replies handled by AI with human approval on edge cases. Hot replies booked into your calendar automatically.
Appointment + booking flows
AI negotiates times over text, reads your calendar, books the meeting, sends confirmations, handles reschedules. No booking-link friction. No double-booking.
Claude Code dev agents
Inside engineering teams: Claude Code with custom slash commands, MCP servers for your internal APIs, sub-agents for code review and test generation, and CLAUDE.md tuned to your codebase conventions.
Agent orchestration
Multi-agent systems built on Trigger.dev, LangGraph, or custom orchestrators. Long-running workflows, human-in-the-loop steps, retry logic, and observability. Ship agentic features without re-inventing infrastructure.
Internal tools + dashboards
Custom Next.js apps for your team. Operations dashboards, AI-assisted data entry, internal copilots wired to your warehouse, Looker-replacement reporting. Branded, fast, hosted on Vercel.
How the build works
From kickoff call to a running AI system inside your business: 2 to 6 weeks for most engagements.
Discovery + Roadmap
Free 60-minute strategy call. We audit your tools, processes, and team. You leave with a prioritized AI roadmap — what to automate first, what tech to use, what the ROI looks like, and a fixed scope for phase 1.
Build + Integrate
We build the automation, wire it into your stack (CRM, email, ops tools, codebase), and ship to production on Vercel or your infrastructure. Code in your repo, observability dashboards live, on-call coverage during launch.
Train + Hand Off
Your team gets trained on the system. We deliver a CLAUDE.md, runbooks, internal docs, and Loom walkthroughs. 30 to 90 days of post-launch support depending on tier. After that you own the system outright.
Why Mi Assist AI
We run our entire agency on AI automations and Claude Code — these are the same systems we built for ourselves.
On-site discovery and integration anywhere in Miami-Dade, Broward, and Palm Beach.
Production-grade engineering. TypeScript, Next.js, Vercel, Supabase, Postgres, Trigger.dev, observability built in.
Anthropic-first. We are Claude experts and ship with the latest Claude SDK, MCP servers, and Claude Code tooling.
Vendor-neutral on models. Claude, GPT, Gemini, Llama, Qwen — we pick what is right for the job, not what we resell.
You own everything. Source code in your GitHub, infra in your accounts, docs in your Drive. No vendor lock-in.
AI automations across South Florida
Three engagement tiers
Pick the entry point that matches the problem. Every engagement is fixed-scope and fixed-fee after a free discovery call.
Sprint
Single workflow, single tool
Timeline: 1 to 2 weeks
- One automated workflow end-to-end
- Integration with one CRM or ops tool
- Claude or GPT implementation
- Runbook + Loom walkthrough
- 30 days of post-launch support
Implementation
Multi-workflow rollout
Timeline: 3 to 6 weeks
- 3 to 6 automated workflows
- Cross-tool integrations (CRM + email + calendar + ops)
- Claude Code rollout for engineering teams
- Internal dashboards on Vercel
- 60 days of post-launch support
Custom AI App
Full-stack AI product build
Timeline: 6 to 12 weeks
- Custom Next.js app on Vercel
- RAG + vector search + agents
- Auth, billing, multi-tenant
- Branded UI + design system
- 90 days of post-launch support
Free 60-minute discovery call. We map your workflows, scope the right tier, and quote in writing within 48 hours.
The stack we build on
Production engineering, not no-code duct tape. Below is the toolset we actually ship with — picked for reliability, observability, and long-term ownership.
Models
Claude Sonnet 4.6 · Claude Opus 4.7 · GPT-4o · Gemini · Llama 3.3 · Qwen 2.5
AI Tooling
Claude Code · Anthropic SDK · OpenAI SDK · MCP Servers · LangGraph
Frontend
Next.js 15 · React 19 · Tailwind · shadcn/ui · Vercel · Edge Functions
Backend
TypeScript · Node · Python · Trigger.dev · Postgres · Supabase · Vercel KV
Vector + RAG
pgvector · Pinecone · Weaviate · LlamaIndex · LangChain
Voice + Telephony
Vapi · Retell · Twilio · ElevenLabs · OpenAI Realtime
Integrations
GoHighLevel · HubSpot · Salesforce · Stripe · Gmail · Calendar · GitHub
Observability
Sentry · LogSnag · OpenTelemetry · Vercel Analytics · custom dashboards
Common questions
Implement AI in your business the right way
Free 60-minute discovery call. We map your workflows, show you exactly what AI can automate, and scope the build.