AI Agent Development Company in Miami

QServices is not headquartered in Miami, but we work with Miami clients across FinTech, Real Estate, Logistics, and Healthcare on remote AI agent development engagements. We are a remote-first software consultancy and Microsoft Solutions Partner, with ET hours of daily overlap. Spanish-language client services are available. See our full services overview.

What Miami buyers typically need from AI agent development

Miami's industries create concrete automation problems. These are the project types we see most often from this market:

• FinTech compliance automation: Agents that screen transactions, flag anomalies, and generate audit trails under the Florida Information Protection Act. FIPA requires businesses to protect personal data and notify affected Florida residents within 30 days of a breach. Agents that automate data handling reduce both exposure and response time.
• Real estate document processing: Agents that extract lease terms, summarize inspection reports, and route documents between brokers, title companies, and lenders without manual re-entry.
• Logistics operations: Agents integrated with freight management systems to monitor shipments, escalate delays, and draft carrier communications for operations teams working through Port of Miami supply chains.
• Healthcare intake and triage: Agents that pre-qualify patient intake forms, route clinical queries, and generate draft clinical notes, always with a human-in-the-loop review gate before any patient-facing output.

FIPA compliance is a practical design constraint. Any agent that processes personal data belonging to Florida residents must operate within those requirements. We design the data flow and audit chain from the first architecture session. See Florida Statute s.501.171 for the full obligations.

How we work with Miami clients

We work fully remotely. Our engineering team is in India (IST, UTC+5:30). Miami runs on Eastern Time: UTC-5 in winter (EST), UTC-4 in summer (EDT). That gives us roughly 3 to 4 hours of workday overlap in your morning, approximately 7:30am to 11:30am ET in winter and 8:30am to 12:30pm ET in summer.

That window covers our daily standup (30 minutes, video-on), demo reviews, and any decisions that need a live conversation. Outside that window, we post async progress updates in your Slack or Microsoft Teams channel, document decisions in a shared space, and flag blockers before end of our business day so your team can review and respond overnight.

Code reviews happen in GitHub with written comments. Sprint demos run every two weeks, timed to the morning overlap window. For major milestones, we can extend the call or arrange an on-site visit to Miami if you prefer in-person sign-off. Spanish-language communication is available if that is your team's working language.

Relevant work in similar markets

We do not have a published Miami client reference. Our closest relevant work by industry:

Melegacy: AI Investment and Legacy Management Chatbot. Built for an investment management and legacy planning platform. The agent connects to the Nasdaq API, generates ML-powered stock predictions from historical data, and delivers investment recommendations based on user-defined amounts. A second workflow handles legacy sharing with nominees and charity management, all within a single Copilot Studio chatbot. Relevant to Miami's FinTech and wealth management sector.

Read the Melegacy case study

Smart PM: AI Project Management Bot for Azure DevOps and MS Teams. Built for an IT services company. The agent captures Fireflies.ai meeting transcripts automatically, creates backlog items in Azure DevOps with Fibonacci story point assignments, tracks sprint capacity, and generates live Power BI dashboards replacing manual reporting. Relevant to logistics and operations teams running on Microsoft tooling.

Read the Smart PM case study

Neither project is a Miami-based client. We cite them because industry fit is more useful than geography when evaluating a vendor. For FinTech-specific use cases, see our AI agents for FinTech page.

What AI agent development costs for a typical Miami project

AI agent development for Miami clients runs from $15,000 to $85,000 USD. Scope, integrations, and compliance requirements determine where your project falls.

• Small scope ($15K-$30K): Single-agent workflow, one or two integrations, 6-8 weeks. Example: a document processing agent connected to your CRM or DMS, no formal evaluation framework required.
• Medium scope ($30K-$55K): Multi-step agent with human-in-the-loop review gates, 3-4 system integrations, production-grade evaluation framework, 8-10 weeks.
• Full platform ($55K-$85K): Multi-agent orchestration layer, FIPA-compliant data flow design, full evaluation and monitoring setup, 10-12 weeks.

Add 15-25% for projects that also fall under HIPAA or federal financial regulator scope. Each non-trivial system integration adds $3,000-$12,000. A production-grade evaluation framework adds $5,000-$15,000 if not included in base scope. All pricing is in USD. See the AI agent development pricing page for the full rate structure.

How to start working with us

Three steps: book a 30-minute discovery call, receive a written scoping document within five business days, confirm project start. The discovery call covers your use case, the systems your agent needs to connect to, your timeline, and any compliance requirements. We scope to fixed deliverables, not open-ended hourly retainers.

Use the contact form on this page to request a call. We respond within one business day.

Do you have an office in Miami?

No. QServices is based in India and operates fully remotely with all US clients. We have no physical office in Miami or anywhere in the United States. Our ET morning overlap (7:30am-12:30pm ET depending on season) covers daily standups, demos, and live decisions. All other work runs async through Teams or Slack.

Data processed through Azure stays in the US region you specify at project start. We do not default to India-based storage for client data. For FinTech and Healthcare clients, we document the data residency chain before any build begins.