AI Implementations, end to end.
We map your workflows, pick the right model, design the system, build it in your stack, ship it to production, and train your team. The full lifecycle of an AI rollout — done in 2 to 12 weeks instead of 12 months.
What an AI implementation actually looks like
A real AI implementation is not a chatbot bolted onto your homepage. It is a system: workflows mapped, models benchmarked, integrations wired, guardrails set, evals running, and your team trained on what to do when AI is right and what to do when it is wrong.
We have shipped this for Miami real estate brokerages, South Florida law firms, multi-location med spas, logistics companies, insurance agencies, and restaurant groups. Same six-layer playbook every time. Different scope, same discipline.
The six layers of every implementation
Skip any of these and the system breaks the first time it meets real traffic. We build all six, every time.
Workflow audit + roadmap
We sit with you and your team for a day, map every recurring process, and rank them by AI impact. You leave with a prioritized 12-month AI roadmap with timelines, costs, and projected ROI per workflow.
Model selection
Picking the right model is half the work. We benchmark Claude, GPT, Gemini, Llama, and Qwen against your real data and pick by accuracy, latency, cost, and privacy. Vendor-neutral. No reseller bias.
System design + build
Production AI is more than a prompt. We design the orchestration layer, retry logic, tool use, guardrails, eval suites, and observability. Built to survive real traffic, not a demo.
Eval + observability
Every implementation ships with eval suites that measure accuracy, latency, cost, and drift. Sentry, OpenTelemetry, and custom dashboards so you know exactly what your AI is doing in production.
Agent orchestration
Multi-step workflows built on Trigger.dev or LangGraph. Long-running jobs, human-in-the-loop checkpoints, retries, and durable state. Agentic systems that survive failure.
Change management
AI fails when teams reject it. We train your people, write runbooks and CLAUDE.md files for them, and pair with department leads through the first 30 days so adoption sticks.
Real implementations we have shipped
Anonymized but real. Each one started with a 60-minute discovery call. Each one ships with eval suites and observability so the results are measurable, not assumed.
Real estate brokerage — listing engine
Mapped 14 weekly workflows, automated 9 with Claude (listing description writing, feedback analysis, CMAs, weekly seller reports). Owner saved 22 hours per week. Shipped in 3 weeks.
Law firm — intake + drafting
ABA Rule 1.6–compliant local-only implementation. Llama 3.3 running in-office, AI handles intake forms, drafts initial motions for attorney review, summarizes case files. Zero cloud egress.
Med spa group — appointment ops
AI handles inbound DMs (Instagram + SMS), books appointments, sends pre-treatment instructions, and chases reviews. Multi-location. Replaced 1.5 FTE of receptionist work.
Logistics dispatcher — quote desk
Claude reads inbound quote requests across email and WhatsApp (English + Spanish), pulls rates, drafts quotes, sends them. Human approves before send. 4x faster turnaround.
Insurance agency — lead engine
Form-fill leads scored, routed, and called by an AI voice agent within 90 seconds. Human takes over after qualification. Connect rate jumped from 18% to 47%.
Restaurant group — review + reply
AI replies to every Google + Yelp review across 7 locations within 2 hours, in the voice of each location. Owner reviews flagged escalations weekly. Star average up 0.4.
How an implementation runs
Discovery + Audit
Free 60-minute call. We learn your business, your tools, your team, and your constraints (budget, privacy, compliance). You leave with a prioritized AI roadmap and a fixed quote for phase 1.
Design + Build
We design the system: which models, which orchestration, which integrations, which guardrails, which evals. Then we build it in your repo, test it on your real data, and deploy to your production.
Launch + Train
Phased rollout to your team. We pair with department leads, deliver runbooks and Loom walkthroughs, and stay on call through the first 30 days. After that you own the system.
Why Mi Assist AI
We are an AI-first agency — every workflow we ship for clients, we use ourselves first.
Anthropic-native engineering with the latest Claude SDK, MCP, and Claude Code tooling.
Vendor-neutral on models. We pick the best tool, not the one we resell.
On-site discovery anywhere in Miami-Dade, Broward, and Palm Beach.
Production engineering on TypeScript, Next.js, Vercel, Supabase, Trigger.dev.
You own everything. Source code in your GitHub, infrastructure in your accounts.
AI implementations across South Florida
Common questions
Ready for an AI roadmap?
Free 60-minute discovery call. We map your workflows, score them by AI impact, and quote phase 1 in writing within 48 hours.