AI Agent Development Company in Austin

QServices is not headquartered in Austin, but we provide AI agent development to Austin clients across Tech, Healthcare, and Real Estate on remote engagements with Central Time hours overlap daily. QServices is a remote-first software consultancy serving Texas businesses in AI agent development, built on Microsoft Azure AI Foundry and Copilot Studio.

What Austin buyers typically need from AI agent development

Austin's tech sector includes SaaS platforms, engineering teams, and startup-stage companies that need agents for customer support automation, internal workflow orchestration, and product feature development. Healthcare and health tech companies need agents that process clinical documents, route support tickets, and connect with EHR systems while operating inside HIPAA requirements. Real estate platforms need agents that handle lead qualification, property data enrichment, and client follow-up without creating a manual review bottleneck at every step.

Two regulations matter most for Austin businesses choosing an AI vendor:

• Texas Data Privacy and Security Act (TDPSA): Effective July 1, 2024, TDPSA governs how personal data is collected, processed, and shared by companies operating in Texas. Any AI agent handling Texas consumer data must be designed within TDPSA's consent and data minimization requirements.
• Texas Department of Insurance (TDI): Insurance and health plan companies in Texas face TDI oversight on data handling, claims processing automation, and any AI-driven interaction with policyholders.

We design every agent with human-in-the-loop (HITL) review controls built into the architecture from the start, not added after the fact. For TDPSA and TDI purposes, that means a documented human decision point sits before any automated output reaches a consumer or policyholder.

How we work with Austin clients

Our engineering team is based in India, approximately 11 hours ahead of Austin's Central Time. We close most of that gap by shifting our engineers' hours so your team gets a live overlap window each morning. A daily standup at 9am CT (8:30pm IST) is the primary sync point. All other work happens async, with same-day written updates in Teams or Slack and pull requests reviewed before your workday starts.

What a typical engagement looks like week to week:

• Week 1: Discovery, access setup, and an architecture walkthrough delivered as a recorded Teams session you can replay on your own schedule
• Weeks 2 through delivery: Two-week sprints with PR reviews completed before 9am CT and a biweekly live demo with written sprint notes sent in advance
• On-site visits: Available for major milestone reviews on request; travel costs billed at cost

Code lives in your Azure DevOps or GitHub repository from day one. You have full visibility into every commit and deployment pipeline. IP transfers to you at project close.

Relevant work in similar markets

We do not have a published Austin or Texas case study we can share by name. The closest work we have completed covers wealth management AI agents and SaaS engineering automation, both of which share patterns with Austin's Tech and financial services sectors.

Melegacy is an investment and legacy planning platform that needed a Microsoft Copilot Studio chatbot pulling live stock data from the Nasdaq API and generating recommendations based on user-specified amounts. The same agent handled nominee management and charity allocation in a single interface. Multi-function agent design with financial data APIs is directly relevant to Austin fintech and wealth management use cases.

The Smart PM project automated project management for an IT services company: meeting transcripts captured via Fireflies.ai, backlog items created automatically in Azure DevOps with Fibonacci story points assigned, and sprint velocity surfaced in Power BI dashboards. Austin SaaS and engineering teams deal with the same meeting overhead and manual backlog maintenance this project eliminated.

What AI agent development costs for a typical Austin project

Our AI agent development pricing runs from $15,000 to $85,000 for most production builds. All engagements are priced in USD. Typical scope brackets:

• Focused scope ($15,000-$30,000): Single-function agent, one system integration, basic evaluation harness, 6-8 weeks. Suitable for a specific use case such as document classification or lead routing.
• Multi-step scope ($30,000-$55,000): Agent with 2-3 system integrations, HITL review queue, and production monitoring. Covers most internal workflow automation projects.
• Enterprise scope ($55,000-$85,000+): Full agent platform with evaluation harness, compliance documentation, and phased rollout. Appropriate for HIPAA or TDI-regulated deployments.

For Texas businesses with TDPSA or TDI compliance requirements, budget an additional 15-25% for compliance architecture and documentation. Each non-trivial system integration, such as an EHR, CRM, or legacy database, adds $3,000-$12,000 to the base estimate.

How to start working with us

Starting an engagement takes three steps:

1. Discovery call (45 minutes): We learn your use case, existing systems, and compliance requirements. You get a direct read on whether this project is a fit for our team.
2. Scoping document: We send a written scope with timeline, team size, and a fixed or capped estimate within five business days.
3. Project start: Once the agreement is signed, the first sprint begins within one week. No months-long onboarding.

Use the contact form on this page to book a discovery call. We respond within one business day, Central Time.

Can you work with Austin companies remotely?

Yes. All our Austin engagements are fully remote. We do not have an Austin office. What we offer is a structured remote model with a fixed daily overlap window, code in your repositories from the first day, written async updates, and biweekly live demos on Teams or Zoom.

On data residency: if your project requires that data stay within the United States, we configure all Azure deployments in US-based regions, specifically East US or South Central US, which are geographically closest to Austin. No Texas consumer data is routed through non-US infrastructure without explicit written approval from you.

For TDPSA compliance, data flow documentation is a standard project deliverable. For insurance workflows under TDI oversight, we add a compliance review checkpoint before any agent goes live on policyholder data. Current TDI guidance on technology and automation is published at the Texas Department of Insurance. For Healthcare AI projects, see also our work in AI agent development for healthcare.