QServices is a remote-first software consultancy serving Miami businesses in FinTech, Real Estate, Logistics, and Healthcare on AI governance consulting engagements. We are not headquartered in Miami, but we work with Florida clients with four hours of daily Eastern Time overlap and Spanish-language client services available.
Miami's regulated industries face specific AI deployment risks that governance work has to address directly. The Florida Information Protection Act (Fla. Stat. 501.171) sets baseline data protection and breach notification obligations, and sectors like FinTech and Healthcare layer federal requirements on top of that.
The pattern across these sectors is consistent: companies deploy an AI model, skip the governance layer, and find the gap when a regulator requests an audit trail that was never built. Our work puts that layer in place before the question is asked.
Our engineering team is based in India (IST, UTC+5:30). Miami operates on Eastern Time (UTC-4 in summer, UTC-5 in winter). That puts IST 9.5 to 10.5 hours ahead of ET. Our team works a late-India shift that maps to 8:00 AM to 12:00 PM Eastern, giving you four hours of live daily overlap for standups, demos, and questions during your morning.
In practice, engagements run as follows: a 30-minute standup at the start of your workday, async updates through Teams or Slack throughout the day, and a written weekly summary every Friday. Code reviews happen in pull requests with comments in your timezone. On-site visits are not required, but for clients who want a milestone review in person we can arrange that at the end of a project phase.
We also offer Spanish-language client services for Miami teams that work across English and Spanish. For accountability, every engagement starts with a signed scoping document, a shared project board you can view at any time, and a weekly budget reconciliation. You always know what was built, what it cost, and what comes next. See our AI governance consulting pricing page for detailed cost breakdowns.
We do not have a published case study from a Miami client. We will say that directly rather than overstate a connection that does not exist.
Our AI governance and HITL work has been delivered for clients in FinTech and Insurance, the closest analogues to Miami's primary industries. In those engagements the core problems matched what Miami FinTech companies face: ML-assisted credit and fraud models deployed without an evaluation setup, no defined human review gate before a decision reaches a customer, and no drift monitoring after launch.
Our approach on those projects: build the evaluation layer first using Azure AI Foundry evaluation pipelines, define HITL checkpoints in the workflow architecture before writing model code, and instrument audit logging from day one so the trail exists by the time the model goes live. That sequence applies directly to Miami FinTech and Healthcare buyers facing Florida Information Protection Act and HIPAA obligations.
When we take on a Miami-based client, that engagement becomes a case study. Until then, we are available for a discovery call where you can assess our delivery record directly.
All engagements are priced in USD. For most Miami clients, projects fall between $15,000 and $90,000 depending on scope and the number of AI systems being governed.
If your scope includes HIPAA or financial-regulator requirements, add 15 to 25 percent for regulatory overhead. Third-party compliance review adds $5,000 to $20,000. See our AI governance for FinTech page for industry-specific detail.
Three steps to get a project started:
Yes. Our entire client base is served remotely. Miami clients work with us through Teams or Slack, with four hours of live Eastern Time overlap each morning (8:00 AM to 12:00 PM ET). We have run AI governance engagements for FinTech and Healthcare clients fully remotely, with no on-site visits required.
On data residency: we do not store client data outside the agreed infrastructure. For Florida clients with Florida Information Protection Act or HIPAA requirements, we structure the engagement so all data processing stays within your chosen environment, typically Azure with the appropriate regional data residency configuration. Raise your specific requirements on the discovery call and we will address them in the scoping document.
Share your requirements with QServices. Our engineers will give you a straight answer on fit, timeline, and cost — no sales scripts.
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