AI Agent Development Company in Austin

We are not based in Austin, but we work with Austin businesses in tech, healthcare, and real estate on remote AI agent development engagements. Our India-based team overlaps with Central Time mornings, and every project ships with human-in-the-loop governance built into the architecture. See our full services overview.

QServices is a remote-first Microsoft Solutions Partner delivering AI agent development to businesses across the United States, including Texas.

What Austin buyers typically need from AI agent development

Austin's three primary sectors each bring distinct requirements to an AI agent engagement.

• Tech companies often need agents that slot into existing developer toolchains: Azure DevOps integration, automated backlog management, or meeting-to-task pipelines that cut the manual overhead of sprint planning.
• Healthcare organizations need agents with strict access controls, audit trails, and data handling practices that satisfy Texas Department of Insurance (TDI) requirements for patient and claims data.
• Real estate firms ask for agents that automate lease abstraction, document extraction, or CRM data enrichment while handling personal data under the Texas Data Privacy Act (TDPA).

The TDPA, effective July 2024, requires organizations that process Texas residents' personal data to conduct data protection assessments before deploying AI systems that profile individuals. Any agent built for Austin customers handling tenant records, patient data, or consumer profiles must account for this before going to production. We include a TDPA-scoped data handling review as a standard deliverable in our human-in-the-loop design phase for Texas engagements.

How we work with Austin clients

Austin runs on Central Time (CT), placing our India team roughly 10.5 hours ahead in summer and 11.5 hours ahead in winter. We structure sprints so our engineers deliver overnight, and Austin stakeholders review completed work each morning. You see forward progress every day without needing to be available at unusual hours.

Our standard engagement cadence for Austin clients:

• Weekly 45-minute standup at 9 AM CT (8:30 PM IST) via Teams or Zoom
• Sprint demos via async Loom recordings, uploaded by 8 AM CT on demo day
• Shared decision log in Notion, updated daily by our project lead
• Code reviews in Azure DevOps pull requests with a 24-hour response SLA
• Extended live calls at milestone reviews: end of scoping, UAT kickoff, and pre-launch sign-off

On-site visits to Austin are available for clients who prefer a face-to-face kickoff or pre-launch review. Travel cost is agreed upfront and invoiced separately.

Relevant work in similar markets

We do not have a published case study from an Austin-based client. The two engagements below are the closest matches to what Austin tech and healthcare buyers typically ask for.

This project involved an IT services firm that needed an AI agent to capture meeting transcripts via Fireflies.ai, auto-create Azure DevOps backlog items with Fibonacci story point assignment, and surface sprint velocity in a Power BI dashboard. The stack included Azure AI Foundry, Azure AI Search, Power Automate, MS Teams, and Microsoft Graph API. The result was automated meeting-to-backlog creation with real-time sprint dashboards, replacing manual note capture and task allocation. Austin tech companies running Azure DevOps ask for exactly this pattern.

This engagement involved a wealth management platform using Microsoft Copilot Studio to deliver ML-powered stock recommendations from Nasdaq historical data and manage legacy sharing with nominees and charities. The compliance obligations on that project, covering financial data handling and beneficiary management, are similar in sensitivity to what TDI-regulated insurance and healthcare firms in Austin face when building patient or policyholder-facing agents.

What AI agent development costs for a typical Austin project

Our AI agent development pricing for Austin engagements runs $15,000 to $85,000 for initial builds, depending on scope. All engagements are invoiced in USD at India-based hourly rates.

• Small scope ($15,000 to $30,000): Single-workflow agent, one to two system integrations, internal use case. Typical timeline: 6 to 8 weeks.
• Medium scope ($30,000 to $60,000): Multi-step agent with three to five integrations, user-facing interface, production evaluation framework. Typical timeline: 8 to 12 weeks.
• Large scope ($60,000 to $85,000+): Multi-agent architecture, regulated data handling, full evaluation framework, compliance documentation. Timeline: 12 weeks and up.

For Austin healthcare or insurance clients with TDI-regulated data in scope, add 15 to 25 percent for compliance overhead and $5,000 to $15,000 for a production-grade evaluation framework. Third-party compliance reviews add another $5,000 to $20,000. These are not optional for regulated production deployments.

How to start working with us

Three steps to get an AI agent project started:

1. Discovery call (30 minutes): We discuss your use case, data environment, and timeline. No sales deck.
2. Scoping document (3 to 5 business days): We deliver a written scope with a fixed-fee or time-and-materials estimate, technology recommendation, and human-in-the-loop design outline.
3. Project start: Once the statement of work is signed, we assign a dedicated team and schedule the kickoff standup at 9 AM CT.

Can you work with Austin companies remotely?

Yes. QServices works with Austin clients entirely on a remote basis. Our team is available for live calls between 8 AM and 12 PM CT on most working days, with daily async updates outside those hours. We do not have an Austin office, and we do not charge Austin agency rates. You get India-based hourly rates ($20 to $65 per hour depending on seniority) with dedicated project management and Microsoft partner accountability.

For clients subject to the Texas Data Privacy Act, we document our data handling practices in a formal DPA aligned with TDPA obligations. For TDI-regulated healthcare or insurance projects, we apply HIPAA-equivalent data controls as a minimum baseline. See the Texas Department of Insurance for the regulatory framework governing insurance and healthcare data in Texas.