QServices is not headquartered in Atlanta, but we work with Atlanta-area clients across FinTech, Logistics, Healthcare, and Media on remote AI agent development engagements with full Eastern Time hours overlap. QServices is a remote-first software consultancy serving Georgia businesses that need production AI agents with human-in-the-loop governance built in from the start.
Atlanta's economy spans financial technology, logistics operations, healthcare administration, and media production. Each sector has distinct agent use cases and distinct compliance pressures that shape what a project actually involves.
Across all these sectors, Atlanta buyers consistently ask three things: where does our data live, who is accountable when the agent makes a wrong call, and can you prove compliance to our auditor. We address all three before writing a line of code.
Our team schedules standups and demos to align with Eastern Time. We do not ask Atlanta clients to join calls at unusual hours. Communication runs through Microsoft Teams or Slack, whichever your team already uses, and all project artifacts live in repositories and project boards you control.
A typical engagement opens with a two-week discovery and scoping phase over video calls. We produce a written scoping document before any development starts. Development runs in two-week sprints, each ending with a working demo. You see a real increment every two weeks.
Code reviews, architecture decisions, and production deployments all go through your approval checkpoints. We do not ship to production without your sign-off. For larger projects ($50,000 or above), we can arrange on-site visits to Atlanta for milestone reviews. Travel costs are billed at actuals and agreed upfront.
See our AI agent development pricing page for how we structure fixed-scope and time-and-materials engagements.
We do not have a published Atlanta client reference we can name. What we can point to is work in industries that directly overlap with Atlanta's economy.
In financial services, we built an AI investment and legacy management chatbot for Melegacy, an investment management and legacy planning platform. The agent runs in Microsoft Copilot Studio, integrates with Nasdaq historical data via API, and delivers ML-powered stock predictions with investment recommendations based on user-specified amounts. It also handles nominee designation and charitable legacy planning within a single agent interface. Atlanta's FinTech sector faces comparable requirements: regulated customer data, multi-party workflows, and audit expectations from state financial regulators.
Investment management and legacy planning platform
ML-powered stock predictions from Nasdaq historical data with investment recommendations based on user amount
Legacy sharing with nominees and charity management in a single Copilot Studio chatbot
On the operations side, we shipped Smart PM for an IT services company. It connects Azure AI Foundry, Azure DevOps, MS Teams, and Power Automate to capture meeting transcripts automatically, generate backlog items with Fibonacci story point assignments, and surface sprint velocity in real-time Power BI dashboards. Logistics coordinators and media operations teams in Atlanta dealing with high coordination overhead face the same problem this agent solved: too much time spent on manual capture and routing, not enough on the actual work.
IT services company
Automated meeting transcript capture and backlog creation in Azure DevOps with Fibonacci story point assignment and sprint capacity tracking
Real-time Power BI sprint velocity dashboards replacing manual meeting note capture and task allocation
Most AI agent engagements we run fall between $15,000 and $85,000. The range reflects scope, not geography. All pricing is in USD. Here is how scope typically maps to cost:
We give you a written cost estimate before work starts. No open-ended billing. You can also view our full services list to see how AI agent development fits alongside adjacent work like Copilot Studio configuration or legacy modernization.
Three steps:
Use the contact form on this page to send a brief description of what you need. We respond within one business day ET.
Yes, and it is our standard model, not an exception. We align to Eastern Time for standups and demos. All code lives in your repository (Azure DevOps or GitHub), and you retain full access to all source code and environments from day one.
For data residency: agents we build on Azure default to US East regions, which keeps data within the United States. If your obligations under Georgia's data breach notification law or state insurance rules require specific data boundaries, we configure that at the infrastructure level before any data flows through the agent. The FTC's data security guidance outlines federal baseline expectations that apply to most industries operating in Georgia. Azure's US region infrastructure documentation covers the technical controls we use by default.
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