AI Agent Development Company in Seattle

QServices is not headquartered in Seattle, but we work with Seattle clients in tech, cloud, and retail on remote engagements with 3 to 4 hours of daily PT morning overlap. We are a remote-first software consultancy building production AI agents for businesses across the Pacific Northwest.

What Seattle buyers typically need from AI agent development

Seattle's economy runs on tech, cloud infrastructure, aerospace, and retail logistics. Buyers here tend to need agents that connect to systems already in their environment: Azure DevOps, Microsoft Teams, cloud data services, and supply chain platforms.

• Internal productivity agents: Automating sprint planning, meeting capture, and backlog creation for tech and SaaS teams on the Microsoft stack.
• Document processing agents: Extracting and routing structured data from aerospace supply chain and compliance documents.
• Customer and recommendation agents: Supporting retail and e-commerce operations with real-time inventory and recommendation logic.
• Cloud infrastructure agents: Monitoring and alerting workflows for cloud-native teams running on Azure or AWS.

Washington state has specific data privacy obligations that affect AI agent design. The Washington MyHealth MyData Act imposes consent and transparency requirements on health data collected outside HIPAA scope. Legal teams governed under WSBA guidelines carry their own client confidentiality and data handling obligations. Any agent touching health or legal data for Seattle clients needs architecture that accounts for these regimes from day one. We build human-in-the-loop checkpoints for exactly this purpose, so a human reviews flagged decisions before the agent acts on sensitive data.

How we work with Seattle clients

Our engineering team is in India (IST, UTC+5:30). Seattle runs on Pacific Time, UTC-7 in summer and UTC-8 in winter. That puts our team 12.5 to 13.5 hours ahead depending on the season.

We schedule standups and demos during PT mornings. Our engineers run live sessions at 8:30 PM to 11:30 PM IST to cover 7 AM to 11 AM PT. That is a 3 to 4 hour live window each business day for calls, code walkthroughs, and HITL review sessions. Everything else runs async via Teams or Slack, with updates posted before 9 AM PT each morning.

Our standard remote cadence for Seattle engagements:

• Weekly video standup, Monday 8 AM PT via Microsoft Teams or Slack
• Async daily progress updates posted by 9 AM PT each business day
• Bi-weekly sprint demo with working software and a written decision log
• Code review comments addressed within one business day

For milestone reviews, including end-of-sprint, production readiness, and HITL sign-off, we schedule extended calls. On-site visits to Seattle are available for projects above $40,000 at major milestones.

Relevant work in similar markets

We have not yet worked directly with a Seattle-headquartered company. We say that honestly rather than imply otherwise. Our closest relevant work is in industries that map directly to Seattle's tech and cloud market.

Smart PM Assistant Bot: For an IT services company, we built an AI project management agent using Azure AI Foundry, Azure AI Search, Power Automate, Microsoft Teams, Microsoft Graph API, and Azure DevOps API. The agent captured meeting transcripts automatically via Fireflies.ai, created backlog items in Azure DevOps with Fibonacci story point assignments, and delivered real-time sprint velocity dashboards in Power BI. This replaced manual meeting note capture and task allocation entirely. Seattle tech teams on the Microsoft stack will find this workflow immediately recognizable.

Melegacy AI Investment Chatbot: For a wealth management and legacy planning platform, we built a Microsoft Copilot Studio chatbot that pulled ML-powered stock predictions from Nasdaq historical data and handled legacy sharing with nominees and charity management in a single agent. This project reflects our experience in regulated, data-sensitive environments, adjacent to Seattle's financial services sector.

What AI agent development costs for a typical Seattle project

All engagements are priced in USD. Typical project brackets:

• Small scope ($15,000 to $40,000): Single-agent build, 1 to 2 system integrations, internal use case, 6 to 8 weeks. Includes HITL design phase and a basic evaluation setup.
• Medium scope ($40,000 to $85,000): Multi-agent workflow, 3 to 5 integrations, production evaluation setup, 8 to 12 weeks.
• Regulatory add-on: If your project involves Washington MyHealth MyData Act compliance or WSBA data handling requirements, add 15 to 25% for compliance architecture and documentation.
• Ongoing maintenance: $2,000 to $4,000 per month after launch.

Our hourly rates run from $20 to $65 depending on seniority. Most Seattle AI agent projects fall in the medium bracket. For a full breakdown, see our AI agent development pricing page.

How to start working with us

Three steps:

1. Discovery call (30 minutes): We review your use case, data sources, and compliance needs. No pitch, just questions about your environment and goals.
2. Scoping document: Within 5 business days, we send a written scope with timeline, cost range, and the HITL design approach for your project.
3. Project start: Once scope is agreed, we begin the first sprint within 2 weeks.

Can you work with Seattle companies remotely?

Yes. All our Seattle engagements are remote. We do not have an office in Seattle or anywhere in the United States. Our team communicates via Microsoft Teams or Slack, with live sessions scheduled during PT mornings (7 AM to 11 AM PT for standups and demos).

For data residency, we configure Azure deployments to US West 2, which is physically located in Washington state, to keep your data in the Pacific Northwest. For projects with Washington MyHealth MyData Act obligations, we document data flows, build consent logging into the agent architecture, and can scope in a third-party compliance review. See our full services overview for more on how we handle regulated data environments.